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Figure 1 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure 1. Mitochondrial phylogenetic tree reconstructed based on 123 Cytb haplotypes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). Geometries with different colors and shapes represent Myotis species. "Initial" represents the initially filed identification or the species information labelled in GenBank. "Revised" means the revised species names. The information on mitochondrial haplotypes was described in Table S3.
Figure S2 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure S2. Phylogenetic trees reconstructed based on 20 nuclear Rag2 haplotypes (A‒B), 13 nuclear Chd1 haplotypes (C‒D), and concatenated nuclear sequences (E‒F). Values on the branches represent posterior probability obtained with MrBayes (BI) and bootstrap percentage obtained with IQ-TREE (ML). Geometries of different colors and shapes represent Myotis species. The information on nuclear haplotypes was described in Table S4.
Figure 3 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure 3. (A) Phylogenetic tree based on concatenated nuclear genes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). (B) Species tree constructed in *BEAST based on nuclear Rag2 and Chd1 genes. Values on the branch represent posterior probability. Geometries with different colors and shapes represent Myotis species.
Fig. 5 in A new Pipistrelle bat from the oceanic Island of Príncipe (Western Central Africa)
Fig. 5.—(A) Dorsal; (B) lateral; (C) ventral; (D) apical (above), and basal (bellow) views of the baculum of the paratype Pseudoromicia principis sp. nov. (EBD 17358M). Photographs by Laura Torrent.
Fig. 6 in A new Pipistrelle bat from the oceanic Island of Príncipe (Western Central Africa)
Fig. 6.—(A) Detail of the upper incisors (top left) and drawings of the (a) lower incisors and (b) upper incisors (bottom) of the holotype of Pseudoromicia principis sp. nov. (EBD 17475M). Photograph by Joxerra Aihartza and drawings by Joaquín López-Rojas. (B) Details of the rhinarium of (c) the holotype of P. principis sp. nov. (EBD 17475M) and of (d) Nycticeinops happoldorum (ZFMK-MAM-2009.0029), from Hutterer et al. (2019). Photograph by Laura Torrent. (C) Drawing of the tragi of: (e) P. principis sp. nov. (EBD 17358M, paratype); (f) P. brunnea from Van Cakenberghe and Happold (2013) and (g) P. brunnea (DM13229) from Monadjem et al. (2013) and (D) dorsal and ventral views (from left to right) of bacula of: (h) P. principis sp. nov. (EBD 17358M, paratype); (i) P. rendalli from Hill and Harrison (1987); and (j) P. brunnea (DM13229) from Monadjem et al. (2013). Drawings of P. principis sp. nov. baculum by Joaquín López-Rojas.
Fig. 4 in A new Pipistrelle bat from the oceanic Island of Príncipe (Western Central Africa)
Fig. 4.—Skull and mandible of the holotype of Pseudoromicia principis sp. nov. (EBD 17475M) in dorsal, ventral, lateral, front and back views as well as mandible top view. Photographs by Joxerra Aihartza.
Fig. 2 in A new Pipistrelle bat from the oceanic Island of Príncipe (Western Central Africa)
Fig. 2.—Bayesian phylogenetic reconstruction based on the mitochondrial gene cytochrome b (Cytb). Values above branches represent Bayesian posterior probabilities and values below branches are bootstrap values of maximum likelihood (support values <50 are not shown). The right column presents sequences GenBank accession numbers. The sequence JQ956446 is listed in GenBank as Pseudoromicia tenuipinnis but it was probably misidentified. See Table 1 for a complete list of the specimens used and main text for details of the molecular analyses.
F I G U R E 4 in Phylogeography of Solomon Islands blossom bats reflects oceanic divides and Pleistocene connections
F I G U R E 4 (a) Phylogenetic tree of Tribe Melonycterini blossom bats produced using the quartet-based method implemented in SVDǪUARTETS, and (b) phylogenetic network of Nesonycteris blossom bats created using SPLITSTREE.
F I G U R E 2 in Phylogeography of Solomon Islands blossom bats reflects oceanic divides and Pleistocene connections
F I G U R E 2 Phylogeographic relationships among Melonycterini blossom bats (a) the Solomon Islands archipelago with bathymetric depths less than 120 m (ETOPO1, Amante & Eakins, 2009) shaded in dark grey to indicate possible land bridge connections during the Last Glacial Maximum. Islands shaded in colour represent those sampled for this study, samples were unavailable for islands shaded in light grey (EPSG: 4326–WGS 84). (b) Phylogenetic tree made using maximum likelihood methods in RAXML depicting relationships among all Nesonycteris and Melonycteris samples. Values indicate maximum likelihood bootstrap support and black circles on nodes denote values = 100. (c) Representation of the taxonomic treatment of Nesonycteris prior to this study comprising two species; (d) Alternate taxonomic treatment of Nesonycteris from the results of this study comprising four species (N. far = N. fardoulisi, N. mac = N. maccoyi); The results of STRUCTURE analyses for various datasets are presented as (e) Dataset 1, a single run, k = 4; (f) Dataset 2, a single run, k = 2; (g) Dataset 3, a single run, k = 3; and (h) Dataset 4 (five runs R1–R5, k = 4). In STRUCTURE results (e–h), each bar indicates the probability of assignment to different genetic clusters.
Figure 3 in Ecological niche differentiation among Aztec fruit-eating bat subspecies (Chiroptera: Phyllostomidae) in Mesoamerica
Figure 3. Niche overlap values for Schoener's D and Hellinger's I compared to a null distribution: (a) Artibeus a. aztecus (yellow) vs. A. a. minor (blue), (b) A. a. aztecus vs.A. A. major (red), (c) A. a. minor vs. A. a. major.
Figure 2 in Ecological niche differentiation among Aztec fruit-eating bat subspecies (Chiroptera: Phyllostomidae) in Mesoamerica
Figure 2. Maxent predicted potential distribution for (a) Artibeus a. aztecus, (b) A. a. minor, and (c) A. a. major.
F I G U R E 3 in Phylogeography of Solomon Islands blossom bats reflects oceanic divides and Pleistocene connections
F I G U R E 3 Pairwise Nei's genetic distances for Melonycteris and Nesonycteris blossom bats from the Solomon Islands and Bismarck archipelagos. Nei's genetic distance was calculated using the R package StAMPP. Values surrounded by a yellow or green rectangle are pairwise distances between samples from New Georgia group islands, and Greater Bukida islands, respectively.
Figure 2 in Geographic variation in select species of the bat genus Platyrrhinus
Figure 2. Box plots of the centroid size by species/sex. (A) dorsal view of Platyrrhinus dorsalis, (B) ventral view of P. dorsalis, (C) dorsal view of P. umbratus, and (D) ventral view of P. umbratus. Sex: females = gray and males = light blue. Color box limits indicate the first (25%) and third (75%) quartile, the thick black line indicates the median centroid size, and open circles represent outliers.
Figure 1 in Geographic variation in select species of the bat genus Platyrrhinus
Figure 1. Dorsal (A) and ventral (B) views of a Platyrrhinus cranium illustrating the landmarks used in geometric morphometric analyses.
Figure 6 in A new bat species of the genus Myotis with comments on the phylogenetic placement of M. keaysi and M. pilosatibialis
Figure 6. Principal component (PĆs) from a PCA based on 9 bioclimatic variables extracted from 19 distribution localities of pilosatibialis species complex, with confidence ellipses and corresponding vectors correlations of climatic variables with the first two eigenvectors. Samples: M. armiensis sp. n. (circles), M. sp. (triangles), and M. pilosatibialis str.(+ symbols).
Figure 4 in A new bat species of the genus Myotis with comments on the phylogenetic placement of M. keaysi and M. pilosatibialis
Figure 4. Principal components (PĆs) from a PCA based on 15 cranial measurements from 33 individuals. Samples:M. armiensis sp. n (circles), M. sp. (triangles), M. oxyotusgardneri (+ symbols), M. keaysistr.(Xsymbols), and M. pilosatibialis str.(diamonds).
Figure 5 in A new bat species of the genus Myotis with comments on the phylogenetic placement of M. keaysi and M. pilosatibialis
Figure 5. Vector correlation coefficients (loadings) between original variables and discriminant functions (DF1, DF2),with jackknifed percentage of correctly classified specimens for each group. Samples:M. armiensis sp. n (circles), M. sp (triangles), M. oxyotus gardneri (+ symbol), M. keaysistr.(xsymbol), and M. pilosatibialis str.(diamonds).
Figure 5 in Geographic variation in select species of the bat genus Platyrrhinus
Figure 5. Principal Component Analysis (PCA) of Platyrrhinus umbratus obtained from the (A) dorsal and (B) ventral views of the cranium. Specimens of each group is represented by a dot (nigellus: black; umbratus: blue).
Figure 3 in A new bat species of the genus Myotis with comments on the phylogenetic placement of M. keaysi and M. pilosatibialis
Figure 3. Species tree inferred in *BEAST using multilocus sequence data for New World Myotis. Number under branches represent bayesian posterior probability values with conspecific populations from Ecuador and Panama shaded grey.
Figure 2. Partial cytochrome oxidase c in A new bat species of the genus Myotis with comments on the phylogenetic placement of M. keaysi and M. pilosatibialis
Figure 2. Partial cytochrome oxidase c subunit Iphylogeny resulting from bayesian inference and maximum likelihood inference. The Bayesian analysis was conducted in MrBayes and maximum likelihood trees were generated using IQ-TREE with 100 bootstraps and 1000 replicates. Scores are bootstrap and probabilities values. Nodal support isshownright andleftof slashes (" /̎) respectively.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.