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Fig. 1 in Prevalence of a new genetic group, MEAM-K, of the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) in Karnataka, India, as evident from mtCOI sequences
Fig. 1. Map indicating different locations of Bemisia tabaci sampling and distribution of genetic groups in Karnataka, India.
Fig. 2b. Phylogenetic tree indicating the Asia-I in Prevalence of a new genetic group, MEAM-K, of the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) in Karnataka, India, as evident from mtCOI sequences
Fig. 2b. Phylogenetic tree indicating the Asia-I group, which was the most abundant genetic group in this study.
Figure 2 in Prevalence of cestodes infection among school children of urban parts of Lower Dir district, Pakistan
Figure 2. Tapeworm species eggs. (A) Taenia saginata; (B) Hymenolepis nana; (C) Hymenolepis diminuta.
Figure 1 in Serological prevalence of hepatitis B virus (HBV) in Mardan district, Khyber Pakhtunkhwa, Pakistan
Figure 1. Map of the Khyber Pakhtunkhwa (KP), Pakistan. The district Mardan in encircled, where the present study was conducted for determining the prevalence of active HCV infection and genotypic distribution in the year from 2017-2020.
Figure 7 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 7. The remains of a humpback whale juvenile (length estimate 8–9 m), <60 h after it was last seen intact (and probably still alive) at the surface; it was apparently killed and then eaten by sharks during 20–22 May 2014, off Coral Bay, WA. Photo: Migration Media.
Figure 3. A in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 3. A mother humpback and her calf at Ningaloo Reef, Western Australia. Although the killer whales broke off the attack when the pair moved into shallow reef waters, the damage to the calf's lower jaw during the attack would likely prove fatal (#11). Photo: J. Totterdell.
Figure 1 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 1. Location of our study area off Ningaloo Reef, Western Australia, showing locations and outcomes of interactions between humpback whales and killer whales. Inset in upper right shows area where our survey effort was concentrated in 2013 (see Methods).
Figure 4. A in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 4. A humpback mother lifts her calf out of the water on her back shortly before it was killed by attacking killer whales (#9). The killer whale on the far left is carrying the carcass of another humpback calf taken several minutes earlier (#8). Photo: S. Wenngren.
Figure 2 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 2. Movements of a satellite-tagged killer whale that we tracked for 22 d in July/ August 2013 off Western Australia. The track was estimated by fitting a continuous-time correlated random walk model (Johnson et al. 2008) to 452 locations calculated by the Argos satellite system (http://www.argos-system.org) to estimate locations and velocities at hourly intervals. Colored circles represent the estimated displacement velocity for each predicted location (speed in km/h; green is slower, red is faster), with speed classified into one of four velocity intervals, determined by the Jenks algorithm for natural breaks (Jenks 1967).
Рис. 2. Ооцисты кокциΔий роΔа Eimeria, Isospora, Octosporella моΔифицированные, световая микроскопия (размеры увеΛичены в 400 раз, 1 ΔеΛение равно 10 мкм). A — ооцисты Eimeria изоΛированные из Testudo graeca из Апшеронской попуΛяции; B — ооцисты Isospora изоΛированные из Testudo graeca из Апшеронской попуΛяции; С — ооцисты Isospora изоΛированные из Teniadactylus caspius из Апшеронской попуΛяции; D — ооцисты Octosporella изоΛированные из Paralaudakia caucasia из Гобустанской попуΛяции. Автор: С. О. МамеΔова Fig. 2. Eimeria, Isospora, Octosporella oocysts (Magnification 1000 x, each segment corresponds to 10 μm): A — oocysts Eimeria found in Testudo graeca from Absheron population; B — oocysts Isospora found in Testudo graeca from Absheron population; C — oocysts Isospora found in Teniadactylus caspius from Absheron population; D — oocysts Octosporella found in Paralaudakia caucasia from Gobustan population. Author: S. O. Mamedova in Intestinal coccidia (Apicomplexa: Coccidia) in reptiles of Azerbaijan and anthropogenic influences on their prevalence
Рис. 2. Ооцисты кокциΔий роΔа Eimeria, Isospora, Octosporella моΔифицированные, световая микроскопия (размеры увеΛичены в 400 раз, 1 ΔеΛение равно 10 мкм). A — ооцисты Eimeria изоΛированные из Testudo graeca из Апшеронской попуΛяции; B — ооцисты Isospora изоΛированные из Testudo graeca из Апшеронской попуΛяции; С — ооцисты Isospora изоΛированные из Teniadactylus caspius из Апшеронской попуΛяции; D — ооцисты Octosporella изоΛированные из Paralaudakia caucasia из Гобустанской попуΛяции. Автор: С. О. МамеΔова Fig. 2. Eimeria, Isospora, Octosporella oocysts (Magnification 1000 x, each segment corresponds to 10 μm): A — oocysts Eimeria found in Testudo graeca from Absheron population; B — oocysts Isospora found in Testudo graeca from Absheron population; C — oocysts Isospora found in Teniadactylus caspius from Absheron population; D — oocysts Octosporella found in Paralaudakia caucasia from Gobustan population. Author: S. O. Mamedova
Рис. 1. Ооцисты криптоспориΔий моΔифицированные, световая микроскопия по метоΔу ЦиΛя — НиΛьсена (Henriksen, Pohlenz 1981) (размеры увеΛичены в 1000 раз, 1 ΔеΛение равно 10 мкм): A — ооцисты изоΛированные из Testudo graeca из Апшеронской попуΛяции; B — ооцисты изоΛированные из Paralaudakia caucasia из Гобустанской попуΛяции; С — ооцисты изоΛированные из Eremias arguta; D — ооцисты изоΛированные из Natrix tessellata из Апшеронской попуΛяции. Автор: С. О. МамеΔова Fig. 1. Cryptosporidium oocysts stained with carbol-fucsin (Henriksen, Pohlenz 1981) (Magnification 1000 x, each segment corresponds to 10 μm): A — oocysts found in Testudo graeca from Absheron population; B — oocysts found in Paralaudakia caucasia from Gobustan population; C — oocysts found in Eremias argute; D — oocysts found in Natrix tessellata from Absheron population. Author: S. O. Mamedova in Intestinal coccidia (Apicomplexa: Coccidia) in reptiles of Azerbaijan and anthropogenic influences on their prevalence
Рис. 1. Ооцисты криптоспориΔий моΔифицированные, световая микроскопия по метоΔу ЦиΛя — НиΛьсена (Henriksen, Pohlenz 1981) (размеры увеΛичены в 1000 раз, 1 ΔеΛение равно 10 мкм): A — ооцисты изоΛированные из Testudo graeca из Апшеронской попуΛяции; B — ооцисты изоΛированные из Paralaudakia caucasia из Гобустанской попуΛяции; С — ооцисты изоΛированные из Eremias arguta; D — ооцисты изоΛированные из Natrix tessellata из Апшеронской попуΛяции. Автор: С. О. МамеΔова Fig. 1. Cryptosporidium oocysts stained with carbol-fucsin (Henriksen, Pohlenz 1981) (Magnification 1000 x, each segment corresponds to 10 μm): A — oocysts found in Testudo graeca from Absheron population; B — oocysts found in Paralaudakia caucasia from Gobustan population; C — oocysts found in Eremias argute; D — oocysts found in Natrix tessellata from Absheron population. Author: S. O. Mamedova
Fig. 2 in Environmental conditions predict helminth prevalence in red foxes in Western Australia
Fig. 2. Prevalence of Uncinaria stenocephala and Dipylidium caninum from red foxes at each sampling location.
Fig. 1 in Environmental conditions predict helminth prevalence in red foxes in Western Australia
Fig. 1. Prevalence of helminths in red foxes (n=147) from sampling locations throughout southwest Western Australia. Numbers in parentheses indicate sample size at each location.
Fig. 7 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 7. Probabilities of flea occupancy (W) for black-tailed prairie dogs (Cynomys ludovicianus) in differing body condition during May–September 2011, at the Vermejo Park Ranch, New Mexico. The solid line depicts estimates of occupancy and dotted lines depict 95% confidence intervals.
Fig. 4 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 4. Model-averaged probabilities for detecting fleas (p) on a black-tailed prairie dog (Cynomys ludovicianus) during May–September 2011, at the Vermejo Park Ranch, New Mexico. Bars depict 95% confidence intervals.
Fig. 3 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 3. Indices for and estimates of flea prevalence on prairie dogs inside old colonies. The estimates are model-averaged values from occupancy models that accounted for imperfect detection of fleas. The naïve indices do not consider imperfect detection. Gains in precision (95% confidence interval) when estimating prevalence are depicted on the right. Confidence intervals for the estimates of prevalence during July–September are very small.
Fig. 2 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 2. The robust design for occupancy models of flea prevalence on black-tailed prairie dogs (Cynomys ludovicianus). Prairie dogs were sampled during primary occasions in different months of the year (May–September 2012). Each primary occasion comprised three secondary occasions (combings) during which fleas might be detected (p = probability of detection, given presence). A prairie dog was ''open'' to colonization by fleas between primary occasions. Once a prairie dog was colonized, it was occupied by fleas during all subsequent primary occasions (thus, the extinction probability, E, was fixed at zero, once a prairie dog was occupied by fleas). Closure was assumed during the secondary occasions, but we used behavioral covariates to account for removal of fleas from hosts during each secondary combing (REMOVAL1 and REMOVAL2, see text). In the example encounter history, a '1' indicates that at least one flea was detected during a combing event, and a '0' indicates that no fleas were detected.
Fig. 5 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 5. Model-averaged probabilities of flea occupancy (W) and flea colonization (γ) for black-tailed prairie dogs (Cynomys ludovicianus) in old and young colonies, and natural and translocation colonies during May–September 2011, at the Vermejo Park Ranch, New Mexico (see Fig. 1 and text for colony descriptions). Bars depict 95% confidence intervals. We do not report estimates of colonization for September, because few prairie dogs were sampled in that month.
Fig. 1 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 1. Map of the study area within the Vermejo Park Ranch, Colfax County, New Mexico, showing old and young, and natural and translocation colonies of black-tailed prairie dogs (Cynomys ludovicianus). Gray areas indicate extent of prairie dog colonies in 2009.
Fig. 6 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 6. Probabilities of flea occupancy (W) and flea colonization (γ) for black-tailed prairie dogs (Cynomys ludovicianus) in plots with differing densities of prairie dogs during May–September 2011, at the Vermejo Park Ranch, New Mexico. Solid lines depict estimates and dotted lines depict 95% confidence intervals.
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.