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427 results for “ectoparasite”
Fig. 4 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host
Fig. 4. Cross section of healthy skin of S. herzbergii. Detail of the epidermis and dermis (staining with hematoxylin-eosin) (400X).
Fig. 2 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host
Fig. 2. Hemorrhagic cutaneous lesions caused by the infestation of copepods on S. herzbergii. a. Ventral view. b. Pectoral fins and mouth.
Fig. 3 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host
Fig. 3. Cross section of healthy skin of S. herzbergii, showing the different layers that make it up (Hematoxylin-eosin staining) (100X).
Fig. 3 in Ectoparasites are unlikely to be a primary cause of population declines of bent-winged bats in south-eastern Australia
Fig. 3. Ventral view of idiosoma of female Spinturnix loricata. Rectangle in inset photograph denotes position of sternal shield. Note elongate sternal shield (Arrow).
Fig. 4 in Ectoparasites are unlikely to be a primary cause of population declines of bent-winged bats in south-eastern Australia
Fig. 4. Ventral view of idiosoma of female Spinturnix psi. Rectangle in inset photograph denotes position of sternal shield. Note subcircular sternal shield (Arrow).
Fig. 2 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 2. Distribution of nest mite population sizes estimated when nests were placed in a Berlese funnel after nestlings had fledged. All nests began the experiment with the same population size (100 live mites), mimicking identical transmission, but ending population sizes 30–35 days later were highly variable. This suggests that factors of the nest environment or hosts may be playing an important role in mite population growth.
Fig. 4 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 4. The relationship between the substrate the nest was built on: concrete, metal, or wood (y-axis) and the number of mites estimated in the field when chicks were 12 days old. Nests built on wooden substrates had significantly more mites compared to nests built on concrete or metal substrates. This graph was made using raw data, but models reported in the text included site as a random effect.
Fig. 3 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 3. Relationship between the number of non-mite arthropods (x-axis) and nest mites (y-axis) that were recovered when experimental nests were removed from the field after nestlings fledged and placed in a Berlese funnel. Nests with more arthropods had significantly fewer nest mites. This graph was made using raw data, but models reported in text had a Poisson distribution and included site as a random effect.
Fig. 4 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 4. Tanglegram showing the associations between the CO1 gene trees for the host ducks (on the left, n = 15) and the three species of louse (on the right, n = 61) from Manawatu, New Zealand. For lice, only the different haplotypes are shown. The two hosts with Grey Duck mtDNA are shown in bold as well as the louse haplotypes exclusive to them. Thin lines indicate host–parasite associations. Lice photos are illustrative and not to scale.
Fig. 3 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 3. Bayesian phylogeny of Anaticola crassicornis based on 378 bp of CO1 gene from Escalante et al. (2016) but with the addition of 16 new sequences from New Zealand hosts. The values above branches are posterior probabilities. The scale bar indicates nucleotide substitutions per site along the branch lengths. Haplotypes names correspond to those shown in Fig. 2. For simplicity we are showing the portion of the tree of interest, the full tree with all downloaded sequences can be found in the Supplementary Fig. S2. NZ = New Zealand.
Fig. 2 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 2. On the left, unrooted parsimony networks for the three species of lice found on Mallard x Grey Duck hybrids showing the relationships of CO1 haplotypes. On the right, unrooted parsimony networks for the 40 hybrid host ducks showing the relationships of CO1 haplotypes (top) and control region (bottom). The areas of the circles are proportional to the number of haplotypes observed. The capital let- ters indicate the different haplotypes found.
Fig. 1 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 1. Ectoparasite abundance on Mallard x Grey Duck hybrids in New Zealand. Histograms of A) total lice load; B, C, D) abundance per host for each of three feather lice species, with the phenotypic-hybridisation level of each duck shown in different colours. For representation purposes, ducks were considered to be Grey Ducklike for principal component 1 (PC1) score below −1.5, intermediate for a PC1 score between −1.5 and 1.5 and Mallard-like for a score above 1.5.
Figure 3 in Ontogeny of Chenophila platyrhynchos sp. nov. (Acari: Syringophilidae), an ectoparasite of the Mallard Anas platyrhynchos (Anseriformes: Anatidae)
Figure 3. Chenophila platyrhynchos sp. nov., tritonymph: A) dorsal view, B) ventral view, C) gnathosoma in dorsal view, D) gnathosoma in ventral view, E) peritremes, F) solenidia of leg I.
Figure 4 in Ontogeny of Chenophila platyrhynchos sp. nov. (Acari: Syringophilidae), an ectoparasite of the Mallard Anas platyrhynchos (Anseriformes: Anatidae)
Figure 4. Chenophila platyrhynchos sp. nov., protonymph: A) dorsal view, B) ventral view, C) gnathosoma in dorsal view, D) gnathosoma in ventral view, E) peritremes, F) tarsus I in dorsal view, G) tarsus II in dorsal view.
Fig. 5 in Ectoparasites of hedgehogs: From flea mite phoresy to their role as vectors of pathogens
Fig. 5. Phylogenetic analysis of the 16S rRNA gene (281 bp) of Ehrlichia and Anaplasma spp. detected in this study (Bold) and relationship with other Ehrlichia/ Anaplasma spp. The evolutionary history was inferred by using the Maximum Likelihood method based on the Kimura 2-parameter model (Kimura, 1980). Initial tree (s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 37.72% sites). GenBank accession number and country of origin are presented for each sequence.
Fig. 3 in Ectoparasites of hedgehogs: From flea mite phoresy to their role as vectors of pathogens
Fig. 3. Phylogenetic analysis of the gltA gene (345 bp) of Rickettsia asembonensis detected in this study (Bold) and relationship with other Rickettsia spp. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura 3-parameter model (Tamura, 1992). A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories [+G, parameter = 0.2157]). GenBank accession number and country of origin are presented for each sequence.
Fig. 4 in Ectoparasites of hedgehogs: From flea mite phoresy to their role as vectors of pathogens
Fig. 4. Phylogenetic analysis of the ompA gene (579 bp) of Rickettsia slovaca and Rickettsia massiliae detected in this study (Bold) and relationship with other Rickettsia spp. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura 3-parameter model (Tamura, 1992). Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 20.90% sites). GenBank accession number and country of origin are presented for each sequence.
Fig. 4 in New and previously known ectoparasitic monogenoids (Platyhelminthes) on native and non-native fishes from tributaries of the Usumacinta River basin (southern Mexico), a Neotropical transition zone
Fig. 4. Copulatory complexes of Ligictaluridus mirabilis (Mueller 1937; Klassen and Beverley-Burton (1985) on Southern blue catfish Ictalurus meridionalis (Ictaluridae) from the Usumacinta river basin (southern Mexico). A – copulatory complex in ventral view; B – copulatory complex in dorsal view. Abbreviations: mco – male copulatory organ; ap – accessory piece.
Fig. 1. Icelanonchohaptor tropicalis n in New and previously known ectoparasitic monogenoids (Platyhelminthes) on native and non-native fishes from tributaries of the Usumacinta River basin (southern Mexico), a Neotropical transition zone
Fig. 1. Icelanonchohaptor tropicalis n. sp. on the Usumacinta buffalo Ictiobus meridionalis (Catostomidae) from the Usumacinta river basin (southern Mexico). A – whole mount (composite, dorsal view); B – vagina; C – copulatory complex (ventral view); D – egg; E – Haptor; F – Hook. Abbreviations: mco – male copulatory organ; ap – accessory piece; sv – seminal vesicle.
Fig. 3 in New and previously known ectoparasitic monogenoids (Platyhelminthes) on native and non-native fishes from tributaries of the Usumacinta River basin (southern Mexico), a Neotropical transition zone
Fig. 3. Haptoral and copulatory complex sclerites of Heteropriapulus heterotylioides n. sp. on Pterygoplichthys pardalis (Loricariidae) from the Usumacinta river basin (southern Mexico). A, B, and C – copulatory complexes (A and C in dorsal view; B in ventral view); D – ventral anchor; E – hook; F, G and H – dorsal anchors; I and J – ventral bars; K and L – dorsal bars; M – vaginal tube.
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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)
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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.