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Fig. 3 in Parasite community structure as a predictor of host population structure: An example using Callorhinchus capensis
Fig. 3. Randomized individual-based species accumulation curve of parasites infecting Callorhinchus capensis (n = 259) caught off the West and South Coasts of South Africa between 2010 and 2015.
Fig. 1 in Parasite community structure as a predictor of host population structure: An example using Callorhinchus capensis
Fig. 1. Map showing sample locations (St Helena Bay, False Bay and trawl locations shown by diamond symbols) in which Callorhinchus capensis were caught (dashed line indicates 200 m depth contour). The inset shows the distribution range of Callorhinchus capensis (IUCN, 2012).
Fig. 2. a–d in Parasite community structure as a predictor of host population structure: An example using Callorhinchus capensis
Fig. 2. a–d: Four metazoan parasites found infecting Callorhinchus capensis caught in False Bay, South Africa in 2013. Photos taken by T. Morris.
Fig. 2 in Wild horse populations in south-east Australia have a high prevalence of Strongylus vulgaris and may act as a reservoir of infection for domestic horses
Fig. 2. Microscopic view of the different eggs. A = Anoplocephala spp. eggs, S <90 = strongyle eggs <90 μm length, S> 90 = strongyle eggs ≥90 μm length, P = Parascaris spp. eggs.
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. 2 in Trypanosome co-infections increase in a declining marsupial population
Fig. 2. The proportion of woylie captures detected with (a) T. copemani and (b) T. vegrandis in individual sampling trips across the study period (n = 32, 8, 20, 6, 14, 29, 37, 54, 31, 31, 21, 25, 25, 32, 15, 13, 2, 8, 13, 11, 9, 8), with the x-axis representing continuous time. Error bars represent 95% Jeffrey's confidence intervals of prevalence estimates. Overlaid on prevalence estimates are the capture rates (the number of independent captures as a proportion of the total number of traps set, derived from Wayne et al., 2015) for each of the sampling periods to indicate the woylie population trends over the same period.
Fig. 3 in Trypanosome co-infections increase in a declining marsupial population
Fig. 3. The proportion of woylie captures detected with (a) T. copemani and (b) T. vegrandis across years (categorized into groups for plotting purposes: 2006–2007, 2008, 2009–2010, 2011–2012) for woylies that were either co-infected by the other trypanosome species (blue) or individuals not co-infected by the other trypanosome species (red). Error bars represent 95% Jeffrey's confidence intervals of prevalence estimates. Numbers above the x-axis represent the sample sizes for each group. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. A in Trypanosome co-infections increase in a declining marsupial population
Fig. 1. A map of Australia indicating the location of Keninup (our sampling site), with the location of Perth provided for reference.
Data - AlphaFold2 Predicts Alternative Conformation Populations in Green Fluorescent Protein Variants
<p><strong>MSAs.zip </strong>Multiple sequences alignments generated by AlphaFold2 structure prediction of 7 engineered GFPs.</p> <p><strong>AF2_models_column_masking.zip </strong>AlphaFold2 models of the alternative conformations of 7 engineered GFPs.</p> <p><strong>MD_trajectories_PyMOL.zip</strong> Molecular dynamics trajectories (PyMOL sessions) of the alternative conformations of 7 engineered GFPs.</p> <p><strong>MD_analysis.zip </strong>Root mean square deviation and per-residue root mean square fluctuations along molecular dynamics simulations of 7 engineered GFPs.</p> <p><strong>rmsd_values.zip</strong> Root mean square deviation relative to crystallographic GFP structure for AlphaFold2 models and molecular dynamics frames (global and central alpha-helix)</p>
Fig. 7 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 7 Violin plots showing the distribution of growth parameters (A, K, I, and maximum growth rate) calculated separately for 73 individuals of Fukomys darlingi from the Nsanje population
Fig. 6 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 6 Growth in captive Fukomys darlingi from the Nsanje population. Mean body mass (g) calculated weekly for individuals belonging to one of four groups based on sex and breeding status (non-breeding female NB, n = 27; breeding female B, n = 13; non-breeding male NB, n = 19; breeding male B, n = 13) over a period of 10 years. Gompertz growth parameters have been estimated for each individual separately, and thereafter, mean values have been calculated for each group. These parameters have been used for modelling the solid lines
Fig. 8 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 8 Adult body mass distribution of Fukomys darlingi from Zimbabwe (nominate form, n =18) and southern Malawi (Nsanje form, n =96). Note the larger body mass and greater sexual dimorphism in animals from Nsanje. Data on F. darlingi individuals from Goromonzi were compiled from Bennett et al. (1994), Gabathuler et al. (1996), and Herbst and Bennett (2001); animals were deemed adult when identified as breeders or when being heavier as the same-sex breeder in the respective family. Nsanje mole-rats were classified as adults at an age of 18 months
Fig. 5 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys
Fig. 5 Nuclear phylogeny of Fukomys mole-rats. MCC tree estimated from nuclear datasets of five genes. Tip labels are colour-matched with those shown in the range map and the mitochondrial tree (Figs. 1 and 4). Each tip name contains the sample ID, the name of the respective CYTB lineage, and in the case of samples from F. darlingi clade also the name of the collection locality
Fig. 1 in Morphological characters and SNP markers suggest hybridization and introgression in sympatric populations of the pleurocarpous mosses Homalothecium lutescens and H. sericeum
Fig. 1 Measurements of branch leaf characteristics of Homalothecium spp. Leaf characters (L1-L18) are explained in Table 3
Fig. 4 in Morphological characters and SNP markers suggest hybridization and introgression in sympatric populations of the pleurocarpous mosses Homalothecium lutescens and H. sericeum
Fig. 4 Relationship between width and length of leaf lamina of Homalothecium leaf specimens (N = 240) collected from the allopatric populations of H. lutescens (N = 60) and H. sericeum (N = 59) and the
Fig. 6 in Morphological characters and SNP markers suggest hybridization and introgression in sympatric populations of the pleurocarpous mosses Homalothecium lutescens and H. sericeum
Fig. 6 The positions of putatively hybrid sporophytes from the sympatric populations of H. lutescens and H. sericeum superimposed in the PCA from Fig. 5, based on leaf morphology of the maternal gametophytes. The morphospace of leaves from allopatric populations of H. lutescens and H. sericeum are shown as encircled surfaces (blue circle = H. lutescens and yellow circle = H. sericeum). The red circle represents the morphospace of individuals from the sympatric populations. Each square represents a hybrid sporophyte specimen, collected on its
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.