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Fig. 2 in Hard ticks (Acari: Ixodida) in Sakar Mountains, SE Bulgaria
Fig. 2. Male of Haemaphysalis inermis, Sakar Mts, the road between Ustrem and Radovets Villages, 14.iv.2023. A – dorsal view; B – ventral view. Scale bar: 1 mm.
Fig. 3 in Hard ticks (Acari: Ixodida) in Sakar Mountains, SE Bulgaria
Fig. 3. Sakar Mts, NE of Balgarska Polyana Village, 12.v.2024. Habitats of Ixodes ricinus, Rhipicephalus turanicus and Hyalomma marginatum.
Fig. 1 in Hard ticks (Acari: Ixodida) in Sakar Mountains, SE Bulgaria
Fig. 1. Female of Ixodes ricinus, NE of Balgarska Polyana Village, 12.v.2024. A – dorsal view; B – ventral view. Scale bar: 1 mm.
Tick-tock: Revisiting the Influence of Zeitgebers and Cognitive Load on Time Judgments during and after VR Immersion
<p>This repository contains the digital appendix of the article "Tick-tock: Revisiting the Influence of Zeitgebers and Cognitive Load on Time Judgments during and after VR Immersion" (<a href="https://doi.org/10.1145/3670653.3670667" target="_blank" rel="noopener">https://doi.org/10.1145/3670653.3670667</a>):</p> <ul> <li>Preprint</li> <li>Unity application (5.6.1): Experiment_final.zip</li> <li>Build version: "Executable.zip"</li> <li>Analysis_and_data <ul> <li>README_dataset.md</li> <li>raw_time_productions_and_workload_performance.csv</li> <li>Analysis scripts: statistical_analysis.R</li> </ul> </li> <li>demographics_questionnaire</li> <li>SupportingFigures-Procedure: study protocol, application protocol, factorial design</li> <li>SupportingFigures-Workload: example figures of the workload task</li> </ul>
Data from: Interacting effects of wildlife loss and climate on ticks and tick-borne disease
Both large-wildlife loss and climatic changes can independently influence the prevalence and distribution of zoonotic disease. Given growing evidence that wildlife loss often has stronger community-level effects in low-productivity areas, we hypothesized that these perturbations would have interactive effects on disease risk. We experimentally tested this hypothesis by measuring tick abundance and the prevalence of tick-borne pathogens (Coxiella burnetii and Rickettsia spp.) within long-term, size-selective, large-herbivore exclosures replicated across a precipitation gradient in East Africa. Total wildlife exclusion increased total tick abundance by 130% (mesic sites) to 225% (dry, low-productivity sites), demonstrating a significant interaction of defaunation and aridity on tick abundance. When differing degrees of exclusion were tested for a subset of months, total tick abundance increased from 170% (only mega-herbivores excluded) to 360% (all large wildlife excluded). Wildlife exclusion differentially affected the abundance of the three dominant tick species, and this effect varied strongly over time, likely due to differences among species in their host associations, seasonality, and other ecological characteristics. Pathogen prevalence did not differ across wildlife exclusion treatments, rainfall levels, or tick species, suggesting that exposure risk will respond to defaunation and climate change in proportion to total tick abundance. These findings demonstrate interacting effects of defaunation and aridity that increase disease risk, and they highlight the need to incorporate ecological context when predicting effects of wildlife loss on zoonotic disease dynamics.
Data from: Population genetic structure of the tree-hole tick Ixodes arboricola (Acari: Ixodidae) at different spatial scales
The endophilic tick Ixodes arboricola infests cavity-nesting birds, and its dispersal strongly depends on the movements of its host. Population genetic structure of I. arboricola was studied with seven polymorphic microsatellite markers. We collected 268 ticks from 76 nest boxes in four woodlots near Antwerp, Belgium. These nest boxes are mainly used by the principal hosts of I. arboricola, the great tit Parus major and the blue tit Cyanistes caeruleus. As these birds typically return to the same cavity for roosting or breeding, ticks within nest boxes were expected to be highly related, and tick populations were expected to be spatially structured among woodlots and among nest boxes within woodlots. In line with the expectations, genetic population structure was found among woodlots and among nest boxes within woodlots. Surprisingly, there was considerable genetic variation among ticks within nest boxes. This could be explained by continuous gene flow from ticks from nearby tree holes, yet this remains to be tested. A pairwise relatedness analysis conducted for all pairs of ticks within nest boxes showed that relatedness among larvae was much higher than among later instars, which suggests that larvae are the most important instar for tick dispersal. Overall, tick populations at the studied spatial scale are not as differentiated as predicted, which may influence the scale at which host–parasite evolution occurs.
FIGURE 58 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 58. Approximate geographic distribution of Ixodes holocyclus (paralysis tick) (redrawn from Seddon 1968).
FIGURE 68 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 68. Proposed phylogenetic relationships of Rhipicephalus australis (Australian cattle tick), R. annulatus (cattle fever tick), R. microplus-Clade A species and R. microplus-Clade A species (after Burger et al 2014b).
FIGURE 49 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 49. Approximate geographic distribution of Ixodes cornuatus (southern paralysis tick) (redrawn from Kelers et al. 2012).
FIGURE 60 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 60. Numbers of cases of tick paralysis in dogs recorded at the Veterinary Clinic of The University of Queensland from 1970 to 1975 (solid line), and mean number of female Ixodes holocyclus (paralysis tick) per wild bandicoot found in southeastern Queensland from 1972 to 1974 (broken line) (data from Doube et al. 1977).
FIGURE 59 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 59. Life-cycle of Ixodes holocyclus (paralysis tick) in relation to season, and to bandicoots and other hosts (redrawn from artwork by Stan Fiske, CSIRO Long Pocket Laboratories, see Sutherland & Tibballs 2001, Fig. 21.2).
FIGURE 67 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 67. Geographic distribution of Rhipicephalus australis (Australia cattle tick) in Australia (redrawn from Arundel and Sutherland 1998).
FIGURE 37 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 37. Geographic distribution of Bothriocroton hydrosauri (southern reptile tick) (redrawn from Bull et al. 1981 with two additional localities (Jenolan Caves, NSW, an asterisk; and 38 km south of Gosford, NSW, a cross) from the interpretation of Bull (1965, Table 2) by Andrews et al. (2006, p. 37)).
FIGURE 38 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 38. Courtship behaviour of Bothriocroton hydrosauri (southern reptile tick) (redrawn from Andrews and Bull 1980).
FIGURE 12 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 12. Morphological features of the genus Bothriocroton, (A) dorsal female and male, (B) ventral female and male. Example is B. hydrosauri (southern reptile tick).
FIGURE 8 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 8. Sampling of ticks from hosts. (A) Sampling ticks from flank of steer in a squeeze crush. (B) Sampling ticks at udder and groin of a heifer. (C) Sampling ticks on a cast calf. (D) Typical infestation of Rhipicephalus decoloratus (the blue tick) adults on belly of a calf. (E) Typical infestation of Rhipicephalus appendiculatus (the brown ear tick) on ear of a calf. (F) Infestation of Amblyomma variegatum (the tropical bont tick) on dewlap of a steer. [These species of ticks do not occur in Australia but are nonetheless instructive about the biology of the Australian ticks.]
FIGURE 15 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 15. Morphological features of the genus Hyalomma, (A) dorsal female and male, (B) ventral female and male. Example is H. dromedarii (the camel Hyaloma).
FIGURE 5 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 5. Life-cycle of a three-host tick. Example is Rhipicephalus sanguineus (brown dog tick) feeding on dogs. NOTE that the different instars and their appearance when engorged are all drawn to the same scale.
FIGURE 2 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 2. Morphological features of soft ticks (family Argasidae). Example is an adult female of the genus Ornithodoros.
FIGURE 17 in Ticks of Australia. The species that infest domestic animals and humans
FIGURE 17. Morphological features of the genus Margaropus, dorsal views of female and male. Example is M. winthemi (the winter horse tick).
ScienceDex guides
Understand access before you commit
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.