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Figure 3 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 3 Negative allometry represented by the allometric coefficients of both the antenna and tibia and their confidence intervals; the values are related to the body length ofBrevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Figure 1 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 1 Brevicoryne brassicae placed in a dorsal-ventral position for structure measurement. (a): Total body length (b): antenomer length (c): length of the posterior tibia. Source: the authors.
Figure 2 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 2 Mean length and standard error of the antenna, tibia and body length of Brevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Fig. 3 in Characterization of sounds in maize produced by internally feeding insects: investigations to develop inexpensive devices for detection of Prostephanus truncatus (Coleoptera: Bostrichidae) and Sitophilus zeamais (Coleoptera: Curculionidae) in small-scale storage facilities in sub-Saharan Africa
Fig. 3. Effects of distance on detectability of larval sound impulses. Horizontal axis indicates the mean distance between the larval pouch and the sensor; vertical axis indicates the log10-transformed mean rate of impulses detected at that distance. Bars indicate the standard error of mean transformed rate.
Fig. 1 in Characterization of sounds in maize produced by internally feeding insects: investigations to develop inexpensive devices for detection of Prostephanus truncatus (Coleoptera: Bostrichidae) and Sitophilus zeamais (Coleoptera: Curculionidae) in small-scale storage facilities in sub-Saharan Africa
Fig. 1. Spectral profiles of 4 distinctive types of larval sound impulses detected in cracked corn: HaNb, solid line; Ma, dashed line, Ha, dash-dot-dotted line, and La, dotted line. Horizontal axis indicates frequency in kHz and vertical axis indicates relative spectrum amplitude in dB.
Fig. 2 in Characterization of sounds in maize produced by internally feeding insects: investigations to develop inexpensive devices for detection of Prostephanus truncatus (Coleoptera: Bostrichidae) and Sitophilus zeamais (Coleoptera: Curculionidae) in small-scale storage facilities in sub-Saharan Africa
Fig. 2. Oscillogram of sound impulses recorded 10 cm from pouch containing Sitophilus oryzae larvae. Examples of 3 types of larval sound impulse occur during the 1 s period, and one example each of type (Ha, La, and HaNb) is marked above the impulse. Horizontal axis indicates time in seconds and vertical axis indicates relative signal amplitude.
Figure 3. Detection functions for Observer pair 1 in A comparison of image and observer based aerial surveys of narwhal
Figure 3. Detection functions for Observer pair 1 (upper panel) and Observer pair 2 (lower panel) during aerial surveys in Melville Bay from 25 to 30 August 2014. Data are truncated at 1,300 m.
Fig. 3 in Detection of haemosporidian parasites in wild and domestic birds in northern and central provinces of Iran: Introduction of new lineages and hosts
Fig. 3. Median joining haplotype network of Haemoproteus lineages. Detected sequences in this study are in bold.
Fig. 2. Bayesian tree reconstructed using 478 in Detection of haemosporidian parasites in wild and domestic birds in northern and central provinces of Iran: Introduction of new lineages and hosts
Fig. 2. Bayesian tree reconstructed using 478-bp mitochondrial cytb gene for avian blood parasites lineages. The amplified sequences in the current study are highlighted in bold. Posterior probability support of>0.8 is displayed for each branch. Schematic tree is summarized in section A and separated clade for each genus is given in sections of B (Plasmodium), C (Haemoproteus), and D (Leucocytozoon).
Fig. 2 in Molecular detection and characterization of Leishmania infantum in free- ranging Egyptian mongoose (Herpestes ichneumon)
Fig. 2. Maximum Likelihood (ML) phylogenetic tree of 27 L. infantum nucleotide sequences (410 nt long in the final dataset, including gaps), obtained during this study (MH799321) and others available in GenBank, based on the Hasegawa-Kishino-Yano model (HKY) (Hasegawa et al., 1985). The tree with the highest log likelihood (−1026.87) is shown. 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. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.3289) (HKY + G). The tree was drawn to scale, with branch lengths measured in the number of substitutions per site. Robustness of the tree nodes was assessed by bootstrapping 1000 times. The graphical edition of the phylogenetic tree was performed with tree explorer, MEGA7 software (Kumar et al., 2016). Only bootstrap (BS) values equal or greater than 70 are shown on the tree, with the exception of the MH799321 cluster wherein the Bs values, although <70, are displayed for the reader. A 2-letter code and a specific colour (Top left) was attributed to each country for better identification of the origin of each strain. Whenever possible, the host was identified by a specific shape (Top left), namely dog (Canis lupus familiaris, star), human (Homo sapiens, triangle), Egyptian mongoose (Herpestes ichneumon, square) and hoary fox (Lycalopex vetulus, diamond). Sampling dates are indicated, whenever available. (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 Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 2. Phylogenetic relationships between Cryptosporidium sp. from the mastigures and other Cryptosporidium spp. The mid-point tree was generated with the neighbor-joining method using Tamura 3-parameter plus Gamma distribution. Nodal values represent boot strap values (> 50%) for neighbor-joining (left) and ML (right). Circle represents the major reptile-associated species. Bar represents the number of nucleotide substitutions per sites.
Fig. 3 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 3. Phylogenetic relationships of Cryptosporidium detected from the Arabian blue mastigure and closely-related species/subtypes as inferred by a maximum likelihood analysis of concatenated sequences were constructed from the partial DNA sequences of SSU (left), actin (middle), and HSP70 (right) loci. Numbers represent the boot strap values for NJ (left) and ML (Right). Bar represents the number of nucleotide substitutions per sites. (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 Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 1. Histological findings of the deceased Arabian blue mastigure. (A) jejunoileum showing villous atrophy, muscle layer edema, and degenerated epithelial cells in the lumen. Bar = 500 μm. (B) Cryptosporidium appear as rounded purple structures (arrowheads) on the microvilli of the epithelial cells. HE staining. Bar = 50 μm. (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 Molecular detection and characterization of Leishmania infantum in free- ranging Egyptian mongoose (Herpestes ichneumon)
Fig. 1. Spatial distribution of wild carnivore samples in mainland Portugal. Administrative regions at the district level are indicated. The overall proportion of samples per district is indicated by the grey scale. The abbreviatures of districts are as follows: Viana do Castelo (VC), Braga (BR), Vila Real (VR), Bragança (BG), Porto (PT), Aveiro (AV) Viseu (VS), Guarda (GR), Coimbra (CM), Castelo Branco (CB), Leiria (LR), Santarém (SA), Portalegre (PA), Lisboa (Lx), Setúbal (ST), Évora (EV), Beja (BJ) and Faro (FR). White circles with numbers in red specify the number and location of Egyptian mongooses that were kDNA-positive by PCR. (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 Comparison of the modified agglutination test and real-time PCR for detection of Toxoplasma gondii exposure in feral cats from Phillip Island, Australia, and risk factors associated with infection
Fig. 3. Predicted lines of fit for the multivariable logistic regression model plotted as probability of Toxoplasma gondii qPCR positivity in feral cats on Phillip Island (Victoria) versus body weight for each season. Dashed lines show 95% confidence intervals.
Fig. 2 in Sensitive, quantitative detection of Besnoitia darlingi and related parasites in intermediate hosts and to assess felids as definitive hosts for known and as-yet undescribed related parasite species
Fig. 2. Coccidia-specific PCR to confirm the presence of DNA of various parasite species used to test the analytic specificity of the BdanjoRT1 real-time PCR. (1) Besnoitia darlingi, (2) B. neotomofelis, (3) B. oryctofelisi, (4) B. besnoiti (Evora isolate), (5) B. bennetti (Texas), (6) B. tarandi (Bt-CA-Quebec1), (7) Toxoplasma gondii, (8) Hammondia hammondi, (9) Neospora caninum, (10) H. heydorni, (11) Cystoisospora felis, (12) C. rivolta, (13) C. burrowsi, (14) C. canis, (15) Sarcocystis cruzi and (16) Crytosporidium parvum. Presence of (17) Giardia duodenalis and (18) Tritrichomonas foetus DNA was shown by amplification using species or genus-specific primers, respectively. C, negative control; M, marker.
Fig. 3 in Sensitive, quantitative detection of Besnoitia darlingi and related parasites in intermediate hosts and to assess felids as definitive hosts for known and as-yet undescribed related parasite species
Fig. 3. Analytic sensitivity (A) and standard curve (B) obtained for the threshold cycle (Cq) values obtained in the BdanjoRT1 real-time PCR using varying amounts of genomic Besnoitia darlingi DNA (approximately equivalent to the DNA content of 10.000 [blue], 1000 [green], 100 [red], 10 [brown] and 1 [black] B. darlingi tachyzoites) diluted in 100 ng/μl mouse DNA. Cq values used for regression are displayed as circles. Results on samples resembling DNA of 0.1 tachyzoite were not included in regression, since only two of four samples had reacted with a Cq value of 37.8 or 38.3 (displayed grey in A and as crosses in B). (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 Sensitive, quantitative detection of Besnoitia darlingi and related parasites in intermediate hosts and to assess felids as definitive hosts for known and as-yet undescribed related parasite species
Fig. 1. Location of the primers and the probe of the Besnoitia darlingi/B.neotomofelis /B. oryctofelisi-specific real-time PCR assay BdanjoRT1 within the ITS-1 region of the rRNA gene. The sequences of the ITS-1 region of B. akodoni (AY545987, bold), B. jellisoni (AF076860, bold), B. neotomofelis (HQ909085, bold), B. darlingi (AF489696, bold) and B. oryctofelisi (AY182000, bold), were aligned relative to sequences of other Besnoitia spp. including B. besnoiti from Portugal, Spain and Germany, B. bennetti reported from the USA and Belgium, B. tarandi from Canada and Finland and those of Neospora caninum, Hammondia heydorni, Toxoplasma gondii and H. hammondi by using Clustal V (DNAStar, Madisin, Wisconsin, USA). Deletions and substitutions in the sequences relative to and within the clade of B. acodoni, B. jellisoni, B. neotomofelis, B. darlingi and B. oryctofelisi are indicated by black background. Sequences of the primer BdanjoRev and the Probe Bb11-12 are displayed in their complementary form. The probe Bb11-12 was established for a real-time PCR to detect B. besnoiti, but it is universal and can be used for the detection of all Besnoitia spp. mentioned here.
Fig. 1 in Comparison of the modified agglutination test and real-time PCR for detection of Toxoplasma gondii exposure in feral cats from Phillip Island, Australia, and risk factors associated with infection
Fig. 1. Location and Toxoplasma gondii infection status, as detected by real-time PCR (qPCR), of feral cats trapped on Phillip Island (Victoria) from July 2016 to December 2017. Map shows the distribution of different location types (Park, Agricultural, Residential) used in multivariable regression analysis. A circular spread of points around a location marked with 'x' indicates multiple animals were sampled at the same site (i.e. same GPS coordinates). Red = T. gondii qPCR positive, white = T. gondii qPCR negative. Map created using Quantum GIS, version 3.8. (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 Apparent lack of spill-over of parasites from an invasive anuran: PCR detects Entamoeba in cane toads (Rhinella marina) but not in sympatric Australian native frogs
Fig. 1. Study site location in Australia's Northern Territory (left). Map showing the Research Station where the initial amoebiasis outbreak was observed (Shilton et al., 2018); and sample collection sites Leaning Tree Lagoon and Caravan Park (right). In 2018, cane toads and native frogs were collected at Leaning Tree Lagoon. In 2020, cane toads were collected at the Caravan Park and road-killed native frogs were collected from the highway between the Research Station and Leaning Tree Lagoon. Left-hand panel image from GoogleMaps.
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.