Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
374
datasets available to search
ShareScore release 0.7.1
Dataset results
374 results for “Toxoplasma”
Figure 3 in Toxoplasma gondii in beef consumed in France: regional variation in seroprevalence and parasite isolation
Figure 3. Terminal titer of the modified agglutination test (MAT) for French origin samples in relation to age (A) for all samples (n = 2348) (age in years); (B) only for bovines less than 1 year (n = 601) (age in months). The number of observations at each month of age is given at the top of the corresponding bar.
Fig. 3 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts
Fig. 3. Predicted relationships between NAO winter index and the probability of seropositivity for Toxoplasma gondii in all cats sampled; (a) juveniles and (b) adults. Points represent the observed seoprevalence values with 95% confidence intervals as whiskers. A median farm density (0.68 farm/km2) was used to calculate the predictions (full line). Minimal farm density (0 farm/km2) observed among sampled communes was used to calculate the minimal predictions of the model (dotted lines). High values of farm density (2 and 4 farms/km2) were used to calculate the maximal predictions of the model (dashed and dotted-dashed lines).
Fig. 2 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts
Fig. 2. Interannual variations in Toxoplasma gondii seroprevalence in the three types of cats standardised by age (bars) during the study period. Line segments represent the 95% confidence intervals for seroprevalence, and the numbers in brackets indicate the sample sizes. Wildcats (Felis s. silvestris), domestic cats (Felis s. catus) and hybrids are pooled.
Fig. 1 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts
Fig. 1. European wildcat (Felis s. silvestris) distribution in France (grey area; Léger et al., 2008; Say et al., 2012), and locations of samples from domestic cats (Felis s. catus), wildcats and their hybrids. Cat types are represented by different symbols (see the bottom left of the map). One location might correspond to several individuals (1, 2, 3, or 8), the size of the dot being proportional to the number (indicated at the right of the symbols) of individuals collected in each commune.
Fig. 5 in Beyond the disease: Is Toxoplasma gondii infection causing population declines in the eastern quoll (Dasyurus viverrinus)?
Fig. 5. Kaplan Meier survival curves comparing survival trajectories for seronegative (solid line) and seropositive (broken line) eastern quolls. Curves show survival of all quolls first captured at the non-declining site between August 2010 and October 2012.
Fig. 4 in Beyond the disease: Is Toxoplasma gondii infection causing population declines in the eastern quoll (Dasyurus viverrinus)?
Fig. 4. Association between seroprevalence of T. gondii IgG antibodies in eastern quolls at Cradle Mountain and the square-root transformed number of eastern quolls captured 2 months later (y = 2.552–0.022×). Each data point represents a single trapping/sampling session between May 2011 and July 2013.
Fig. 3 in Beyond the disease: Is Toxoplasma gondii infection causing population declines in the eastern quoll (Dasyurus viverrinus)?
Fig. 3. Seroprevalence of T. gondii IgG antibodies in juvenile eastern quolls from time of emergence for 2011 cohort ((a) declining sites (Cradoc and Judbury) and (b) nondeclining site (Bruny Island)) and 2012 cohort ((c) declining sites and (d) non-declining site). Declining sites were not surveyed in September 2012, November 2012, March 2013 or September 2013. Vertical axis shows proportion of quolls tested that were seropositive at titres À 64. Error bars represent 95% confidence intervals calculated using the Jeffreys interval estimation for a small sample size with binomial distribution (Brown et al., 2001).
Fig. 2 in Beyond the disease: Is Toxoplasma gondii infection causing population declines in the eastern quoll (Dasyurus viverrinus)?
Fig. 2. Seroprevalence of T. gondii IgG antibodies in adult eastern quolls at (a) declining sites (Cradoc and Judbury) and (b) non-declining site (Bruny Island). Declining sites were not surveyed in September or November 2012 or March 2013. Vertical axis shows proportion of quolls tested that were seropositive at titres À 64. Error bars represent 95% confidence intervals calculated using the Jeffreys interval estimation for a small sample size with binomial distribution (Brown et al., 2001).
Fig. 6 in Beyond the disease: Is Toxoplasma gondii infection causing population declines in the eastern quoll (Dasyurus viverrinus)?
Fig. 6. Comparison of the probability of T. gondii infection with quoll age, by site. Non-declining site = Bruny Island, Cradle Mountain = fluctuating site, Declining sites = pooled data from Cradoc and Judbury sites. Circles represent individual observations of seronegative (probability = 0) and seropositive (probability = 1) quolls at a given age, with darker circles indicating a higher number of quolls with the same combination of age and serological status. Curve illustrates the fitted data, with grey shading representing 95% confidence intervals.
Fig. 1 in Toxoplasma gondii exposure in arctic-nesting geese: A multi-state occupancy framework and comparison of serological assays
Fig. 1. Comparison of seroprevalence estimates for Ross's Geese and Lesser Snow Geese generated by naïve and multi-state occupancy estimators (seroprevalence = Ψ1 × Ψ2).
Fig. 1 in Genetic characterization of Toxoplasma gondii from Brazilian wildlife revealed abundant new genotypes
Fig. 1. Phylogenetic network analysis of Toxoplasma gondii from wildlife in Brazil. Genotype ID and the representative strain are listed for each taxonomic branch. Reference strains are in black, the strains from this study are in red, and the Amazonic reference strains that did not cluster together are in boxes. Inside the circle are listed all the genotypes obtained from the Amazon region which are in the same branch as other isolates from this biome.
Fig. 2 in Seroprevalence of Toxoplasma gondii in wild boars (Sus scrofa) hunted in Ukraine
Fig. 2. Box plot of Toxoplasma gondii serology results from wild boars from Ukraine, obtained using a locally available enzyme-linked immunosorbent assay and majority criteria based on results of three tests (locally available enzyme-linked immunosorbent assay (ELISA), commercial ELISA (ID Screen Toxoplasmosis Indirect Multi-Species), and an indirect immunofluorescence test (IFAT)). ELISA proportion (OD sample/mean OD of positive controls *100) using the locally available ELISA is on the Y-axis and majority criteria is on the X-axis.
Fig. 1 in Seroprevalence of Toxoplasma gondii in wild boars (Sus scrofa) hunted in Ukraine
Fig. 1. Seroprevalence of Toxoplasma gondii infection among wild boars by region in Ukraine, based on results from a locally available enzyme-linked immunosorbent assay (ELISA). For regions with at least one seropositive wild boar, the number of seropositive wild boards out of number of tested wild boars is shown.
Fig. 2 in Genetic characterization of Toxoplasma gondii from Brazilian wildlife revealed abundant new genotypes
Fig. 2. Geographical distribution of the genotypes of Toxoplasma gondii from wildlife in Brazil. Samples are grouped by states. Sample size is represented by the size of the bar and the number written in brackets. The smallest bar represents one genotype. Color code: green, purple, red and blue are for BrI, BrII, previously described atypical genotypes and new atypical genotypes, respectively.
Fig. 1 in Pathology, clinical signs, and tissue distribution of Toxoplasma gondii in experimentally infected reindeer (Rangifer tarandus)
Fig. 1. Brain squash picture of T. gondii tissue cyst of reindeer 2 brain visualized on compound microscopy (60×).
Fig. 2 in Pathology, clinical signs, and tissue distribution of Toxoplasma gondii in experimentally infected reindeer (Rangifer tarandus)
Fig. 2. Histological section of reindeer 3 diaphragm containing a T. gondii cyst visualized at 100× with oil immersion after immunohistochemical stain.
Fig. 4 in Exposure of yellow-legged gulls to Toxoplasma gondii along the Western Mediterranean coasts: Tales from a sentinel
Fig. 4. Biplots of δ13C and δ15N (a) and δ34S and δ15N (b) representing the isotopic variability of yellow-legged gull albumen samples as a response of their immunological status against T. gondii. Isotopic signatures (as a proxy of females' diet) and egg/nest immunological status (as a proxy of females' exposure to the parasite) does not appear to be related. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Exposure of yellow-legged gulls to Toxoplasma gondii along the Western Mediterranean coasts: Tales from a sentinel
Fig. 3. Location and status of yellow-legged gull nests sampled in 2016 and screened for anti-T.gondii antibodies. Base map: Google©. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Exposure of yellow-legged gulls to Toxoplasma gondii along the Western Mediterranean coasts: Tales from a sentinel
Fig. 2. Limited temporal variations of the prevalence of anti-T. gondii antibody in yellow-legged gull egg yolk samples between 2009 and 2016 in three colonies: Frioul, Gruissan and Medes Islands. Curves correspond to cubic splined fitted to the yearly prevalences for visualisation purposes only. Bars indicate 95% Clopper-Pearson confidence intervals. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Exposure of yellow-legged gulls to Toxoplasma gondii along the Western Mediterranean coasts: Tales from a sentinel
Fig. 1. Map of prevalences of anti-T. gondii antibodies in yellow-legged gull egg yolk samples in 2009 (a) and 2016 (b) illustrating the spatial variability. RIO: Riou; FRI: Frioul; CAR: Carteau; VIC: Vicla-Gardiole; GRU: Gruissan; HOT: Hortel; SID: Sidrière; COR: Corrège; MED: Medes; BCN: Barcelona; EBR: Ebro Delta; DRA: Dragonera; AIR: Illa de l'Aire; SSF: Sfax; HDJ: Djerba. Coloured circles highlight the colonies in which temporal variations were explored (Fig. 2).Sample sizes and confidence intervals are given in Appendix A, Table S1.1. Base map: esri ©. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
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.