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3,169 results for “bat”
Fig. 1 in Ecology of bat flies in Singapore: A study on the diversity, infestation bias and host specificity (Diptera: Nycteribiidae)
Fig. 1. Pteropodid fruit bats in Singapore with their ectoparasitic Nycteribiidae bat flies. Cynopterus brachyotis (a) and Leptocyclopodia ferrarii (b); Eonycteris spelaea (c) and Eucampsipoda sundaica (d); Penthetor lucasi (e), Eucampsipoda penthetoris (f), and Archinycteribia octophthalma (g).
Fig. 2 in Ecology of bat flies in Singapore: A study on the diversity, infestation bias and host specificity (Diptera: Nycteribiidae)
Fig. 2. Posterior mean intensity of the three species of bats and 89% HDPI (High Density Posterior Interval).
Fig. 2 in Investigation of Bartonella spp. in brazilian mammals with emphasis on rodents and bats from the Atlantic Forest
Fig. 2. Phylogenetic relationships within the Bartonella genus based on the groEL gene. The tree was inferred by using the Maximum Likelihood (ML) and Bayesian inference (BI) with the HKY + I + G model. The nodal support is described at the left by bootstrap replicates and at the right by posterior probability to each node represented. The symbol of one asterisk (*) indicates low nodal support in ML or BI, and the symbol of two asterisk (**) indicates incongruence between ML and BI. The sequences detected in the present study are described in red and the sequences of previous studies of Brazilian genotypes in blue. The highlighted clades represented the genotypes described to Brazil. The clade E, F and G represent the genotypes obtained in this study. Brucella abortus and Ca. Tokpelaia hoelldoblerii was used as an outgroup. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Investigation of Bartonella spp. in brazilian mammals with emphasis on rodents and bats from the Atlantic Forest
Fig. 3. Phylogenetic relationships within the Bartonella genus based on the ftsZ gene. The tree was inferred by using the Maximum Likelihood (ML) and Bayesian inference (BI) with the GTR + I + G model. The nodal support is described at the left by bootstrap replicates and at the right by posterior probability to each node represented. The symbol of one asterisk (*) indicates low nodal support in ML or BI, and the symbol of two asterisk (**) indicates incongruence between ML and BI. The sequences detected in the present study are described in red and the sequences of previous studies of Brazilian genotypes in blue. The highlighted clades represented the genotypes described to Brazil. The clade H, I, J, K and L represent the genotypes obtained in this study. Brucella abortus and Ca. Tokpelaia hoelldoblerii was used as an outgroup. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Investigation of Bartonella spp. in brazilian mammals with emphasis on rodents and bats from the Atlantic Forest
Fig. 1. Phylogenetic relationships within the Bartonella genus based on the gltA gene. The tree was inferred by using the Maximum Likelihood (ML) and Bayesian inference (BI) with the GTR + I + G model. The nodal support is described at the left by bootstrap replicates and at the right by posterior probability to each node represented. The symbol of one asterisk (*) indicates low nodal support in ML or BI, and the symbol of two asterisk (**) indicates incongruence between ML and BI. The sequences detected in the present study are described in red and the sequences of previous studies of brazilian genotypes in blue. The highlighted clades represented the genotypes described to Brazil. The clade A, B, C and D represent the genotypes obtained in this study. Brucella abortus and Ca. Tokpelaia hoelldoblerii was used as an outgroup. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 7 in First molecular investigation of haemosporidian parasites in Thai bat species
Fig. 7. Phylogenetic (ML) relationship of the Polychromophilus cytb gene fragment (378 bp) found in this study (taxa with green circles) and the other global isolates. Polychromophilus isolated from T. melanopogon is placed in the same clade with African bat isolates of P. melanipherus in clade 1. Polychromophilus isolated from My. siligorensis shares the same clade with European bat isolates of P. murinus in clade 2. BS values greater than 50% are shown in the figure. The other clades, consisting of Hepatocystis, Nycteria, Plasmodium, and outgroup are collapsed. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in First molecular investigation of haemosporidian parasites in Thai bat species
Fig. 5. Phylogenetic (ML) relationship of the Hepatocystis cytb gene fragment (378 bp) in the present study (taxa with red circles) and the other global isolates from the GenBank™ database. Clade (number) and subclade (letter) are indicated. Haplotype 10 of Hepatocystis in the current study originated from the frugivorous bat Cy. brachyotis shares the same clade with Malaysian isolate (in clade 2). The percentage of trees in which the associated taxa clustered together is shown next to the branches. BS values greater than 50% are shown in the figure. The other clades, consisting of Nycteria, Polychromophilus, Plasmodium, and outgroup are collapsed. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in First molecular investigation of haemosporidian parasites in Thai bat species
Fig. 2. Images of bats with Hepatocystis positive infection based on either microscopic examination or cytb gene PCR amplification and sequencing results: H. larvatus (a), H. bicolor (b), H. armiger (c), H. lekakuli (d), R. malayanus (e), R. thomasi (f), R. pearsonii (g), C. thonglongyai (h), and Cy. brachyotis (i). Giemsa-stained blood smears depicting young gametocytes of Hepatocystis in ring and amoeboid forms (j–l), growing and fully-grown macrogametocytes (female) (m–o), growing and fully-grown microgametocytes (male) (p–r) observed in H. larvatus (sample ID THBat19-037, cytb accession no. MT136132). All parasite images were taken at the same magnification. Scale bar = 5 μm. (For viewing the images in color, the reader is referred to the online version of this article). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Figure 1 in Unusual findings of fleas (Siphonaptera: Ctenophthalmidae, Ceratophyllidae) on bats (Chiroptera: Vespertilionidae) in Belarus: case report
Figure 1. Light micrographs of flea Palaeopsylla soricis soricis, male. (a) Whole view, (b) head and pronotum.
Fig. 3 in First molecular investigation of haemosporidian parasites in Thai bat species
Fig. 3. Images of bats with Nycteria positive infection based on either microscopic examination or cytb gene PCR amplification and sequencing results: M. spasma (a), C. thonglongyai (b), T. melanopogon (c), and E. spelaea (d). Giemsa-stained blood smears depicting very early gametocyte (e) with chromatin dot pointed by arrowhead, young and growing macrogametocytes (female) (f–g), growing and fully-grown macrogametocytes (h–k), and growing and fullygrown microgametocytes (l–m) of Nycteria observed in M. spasma (sample ID THBat19- 177, cytb accession no. MT136163). All parasite images were taken at the same magnification. Scale bar = 5 μm. (For viewing the images in color, the reader is referred to the online version of this article). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in First molecular investigation of haemosporidian parasites in Thai bat species
Fig. 1. Map of Thailand depicting the bat sampling sites, forested areas, and altitudes. The map was drawn using ArcGIS version 10.2. Altitudes (in meter scale) are indicated in parentheses after each sampling site and were calculated by DIVA-GIS version 7.5.0.0 using spatial data from SRTM DEM Digital Elevation Database.
Fig. 4 in First molecular investigation of haemosporidian parasites in Thai bat species
Fig. 4. Images of bats with Polychromophilus positive infection based on either microscopic examination or cytb gene PCR amplification and sequencing results: My. siligorensis (a) and T. melanopogon (b). Giemsa-stained blood smears depicting growing and fully-grown macrogametocytes of Polychromophilus murinus observed in My. siligorensis (c–e) (sample ID THBat19-211, cytb accession no. MT136168). Growing and fully-grown macrogametocytes of Polychromophilus melanipherus observed in T. melanopogon (f–h) (sample ID THBat19- 170, cytb accession no. MT136167). Fullygrown microgametocytes of P. murinus (i–k). All parasite images were taken at the same magnification. Scale bar = 5 μm. (For viewing the images in color, the reader is referred to the online version of this article). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in The detection of Japanese encephalitis virus in Megachiropteran bats in West Kalimantan, Indonesia: A potential enzootic transmission pattern in the absence of pig holdings
Fig. 1. Buffer map overlaying estimated flight range of Culex mosquitoes and hunting ranges of bats.
Fig. 2 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 2. Non-metric multidimensional scaling (NMDS) of the Bray-Curtis distance matrix, showing the dissimilarities between the strict nature reserves (P) and the sustainable-use protected areas (U) in the state of Rio de Janeiro, Brazil surveyed between 1989 and 2013.
Fig. 1 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 1. Protected areas in the state of Rio de Janeiro in which bat inventories have been conducted. The inset shows the location of Southeast Brazil in South America (the numbers correspond to those in Table III).
Fig. 3 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 3. Box plot of the first axis of the Non-Metric Multidimensional Scaling (NMDS1) representing the bat assemblages and different types of habitat of each protected area sampled in the state of Rio de Janeiro, Brazil between 1989 and 2013:1, Montane Forest; 2, Restinga; 3, Submontane Forest; 4, Pasture; 5, Secondary growth Vegetation; 6, Urban; 7, Eucalypt; 8, Uppermontane Forest. Each circle represents one of the protected areas sampled.
Fig. 5 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 5. Distribution of species captured in Protected Areas represented by the mean altitude categories of the sites surveyed in the state of Rio de Janeiro, Brazil between 1989 and 2013.
Fig. 4 in Bat assemblages of protected areas in the state of Rio de Janeiro, Brazil
Fig. 4. Relationship between the geographic distance between each pair of protected areas and their Bray-Curtis dissimilarity in the quantitative composition of bat assemblages in the state of Rio de Janeiro, Brazil in surveys conducted between 1989 and 2013.
Fig. 1 in Occurrence and infestation rates of Streblidae (Diptera, Hippoboscoidea) on bats (Mammalia, Chiroptera) in a semideciduous seasonal forest fragment in western Paraná, Brazil
Fig. 1. MonthlY average precipitation and temperature in Palotina, PR, Brazil, from 1997 to 2016. Source: SIMEPAR, 2018.
Fig. 2 in The phyllostomid bat (Mammalia, Chiroptera) assemblage in a fragmented landscape in Midwestern Brazil
Fig. 2. Similarity between the sampling points of the three landscape formations indicated by the NMDS method (circle, large fragment; sQuare, riparian forest; cross, small fragments).
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.