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8,038 results for “validation.”
FIG. 8 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 8. Monthly distribution of body sizes for 36 females, 107 males, and 266 juveniles of the Mexican Burrowing Toad (Rhinophrynus dorsalis) from México. Points are jittered for visual clarity between overlapping values.
FIG. 10 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 10. The relationship between body size and latitude in the Mexican Burrowing Toad (Rhinophrynus dorsalis) from México (n = 163). Grey shading indicates the 95% confidence interval. The equation for the line: y = 65.2 - 0.95x.
FIG. 6 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 6. Monthly ovarian cycle of female Mexican Burrowing Toads (Rhinophrynus dorsalis) from México. See text for details on reproductive stages.
FIG. 5 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 5. Monthly frequency of food presence in the stomach, extensive fat in the body cavity, and well-developed livers in the Mexican Burrowing Toad (Rhinophrynus dorsalis) from México by male (A), female (B), and ovarian stage (C). Asterisks (*) next to a month indicate that no specimens were available for examination.
FIG. 4 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 4. Monthly distribution of testis length and width as a percentage of male body size in 107 Mexican Burrowing Toads (Rhinophrynus dorsalis) from México. Points are jittered for visual clarity between overlapping values.
FIG. 2 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 2. Monthly incidence of Mexican Burrowing Toads (Rhinophrynus dorsalis) captures from México based on museum specimens and community science observations. (A) All specimen records available on VertNet that possessed month of capture data. (B) Specimens examined in this study separated by sex and life stage, which included 495 individual tadpoles (June and July) collected as lots cataloged under single specimen tags, and a series of 48 juveniles (November) cataloged in the same manner. Monthly rainfall (mean ± standard error) displayed on the third axis. Precipitation values were taken from the Mexican states where 90% of our specimens were collected (Guerrero, Veracruz, Tabasco, and Chiapas). (C) All Research Grade observations (i.e., verified by an independent observer) recorded as on iNaturalist.
FIG. 3 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 3. Body size distributions of female and male Mexican Burrowing Toads (Rhinophrynus dorsalis) from México. Violin plots representing body sizes for all males and females in our sample. Sample sizes are presented above each plot. Dashed line indicates the sample mean. Filled circles represent gravid females (ovarian stage 4).
FIG. 1 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 1. Geographic origin of museum specimens in México of the Mexican Burrowing Toad (Rhinophrynus dorsalis) examined in this study. Sample sizes are given in parentheses after the Mexican state. Bottom left: Picture of R. dorsalis by M. Pingleton with permission.
FIG. 7 in Validation of hemodynamic stress calculation in coronary computed tomography angiography versus intravascular ultrasound.
FIG. 7. The relationship between clutch size and body size in 12 female Mexican Burrowing Toads (Rhinophrynus dorsalis) from México. Grey shading indicates the 95% confidence interval. The equation for the line: y = -6,100 + 170x. Silhouettes modified from Eisermann (2017) and drawn to scale relative to each other.
Hydrographs from validation subsets of PCR-GLOBWB-RF (30 arcmin)
<p>Plots showing hydrographs and flow duration curves (observed discharge, uncalibrated PCR-GLOBWB discharge and hybrid modelled discharge, 1979-2019) and respective residuals at all stations used for cross-validation (5 subsamples).</p> <p>A selected number of these plots were used in figure 7 in the paper, to show that the hybrid approach can improve (most of the time) or worsen the performance of uncalibrated PCR-GLOBWB. Here we store all the plots produced during cross-validation, to satisfy any potential curiosity of the reader. Plot numbers reflect stations from the Global Runoff Data Centre (GRDC). Note that the hybrid approach can produce a continuous synthetic streamflow time-series, irrespective of the availability of data at a particular station.</p> <p>A description of the hybrid methodology used to produce these time-series can be found in the paper 'Global streamflow modelling using process-informed machine learning', by Michele Magni, Edwin H. Sutanudjaja, Youchen Shen and Derek Karssenberg.</p>
IAVRS - INTERNATIONAL AFFECTIVE VIRTUAL REALITY SYSTEM: database of validated 360° images
<p>IAVRS database contains 46 360° images validated for emotion emotion validation. </p>
Parkinson disease validation algorithms
<p>The primary objective of this study was to validate two algorithms for the identification of persons with PD using clinical diagnosis as the reference standard on an Italian sample of people with PD. </p> <p>Two algorithms (index tests) applied to health administrative databases (hospital discharge, drug prescriptions, exemptions for medical costs) were validated against clinical diagnosis of PD by an expert neurologist (reference standard) in a cohort of consecutive outpatients.</p> <p>The two algorithms showed high accuracy for identifying patients with PD: one with greater sensitivity 94.2% (95% CI 88.4 – 97.6) and the other with greater specificity 98.1% (95% CI 97.7 – 98.5).</p>
FIGURE 7 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 7. Line drawings of the head scales of Anolis incredulus (USNM 5095; middle) in ventral view compared with those of A. angusticeps (USNM 497990; upper left), A. guazuma (USNM 589689; upper right), A. altitudinalis (USNM 538874; lower left), and A. isolepis (USNM 589700; lower right). Scale bar = 1 mm.
FIGURE 8 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 8. Phylogenetic relationships of A. incredulus (bold text) estimated from its scores for 46 morphological characters integrated into the dataset of Poe et al. (2017) and analyzed using Bayesian phylogenetic inference under an uncalibrated relaxed clock with the Ctenocercus clade (all species shown) as the ingroup and A. cristatellus (not shown) as the outgroup. Numbers adjacent to nodes are Bayesian posterior probabilities (PP). A. incredulus is inferred to be nested within two large clades within Ctenocercus with strong support (PP = 1.00) and within a clade of twig anoles (A. angusticeps through A. sheplani) with moderate support (PP = 0.89). Its exclusion from each of the three largest clades within Ctenocercus that are non-overlapping relative to the twig anole clade, as well as from the two main subclades of the largest of those clades, is also strongly supported (PP = 0.98–1.00). Scale bar indicates the average number of substitutions per site.
FIGURE 6 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 6. Line drawings of the head scales of Anolis incredulus (USNM 5095; middle) in lateral view compared with those of A. angusticeps (USNM 497990; upper left), A. guazuma (USNM 589689; upper right), A. altitudinalis (USNM 538874; lower left), and A. isolepis (USNM 589700; lower right). Scale bar = 1 mm.
FIGURE 4 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 4. Reconstructions of the skeleton of the head and anterior body of USNM 5095 from CT scans in dorsal (top), lateral (middle), and ventral (bottom) views. Scale bar = 5 mm.
FIGURE 1. USNM 5095 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 1. USNM 5095, inferred to be a second specimen of Anolis incredulus, in dorsal (above) and ventral (below) views. Note bluish iridescence in the temporal region.
FIGURE 3 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 3. Reconstructions of the skeleton of USNM 5095 from CT scans in dorsal (top), lateral (middle), and ventral (bottom) views. The tail is broken off at the fracture plane in caudal vertebra 9 and is broken and displaced at the fracture plane in caudal vertebra 13 but has been digitally restored to its condition prior to damage. Scale bar = 1 cm.
FIGURE 5 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 5. Line drawings of the head scales of Anolis incredulus (USNM 5095; middle) in dorsal view compared with those of A. angusticeps (USNM 497990; upper left), A. guazuma (USNM 589689; upper right), A. altitudinalis (USNM 538874; lower left), and A. isolepis (USNM 589701; lower right). Scale bar = 1 mm.
FIGURE 2 in No longer in doubt: Discovery of a second specimen corroborates the validity of Anolis incredulus Garrido and Moreno 1998 (Reptilia, Iguania)
FIGURE 2. Line drawings of the head scales of USNM 5095 in lateral (top), dorsal (lower left), and ventral (lower right) views. Scale bar = 1 mm.
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.