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470 results for “Analysis of Variation”
Dataset related to article "Phantom‑based analysis of variations in automatic exposure control across three mammography systems: implications for radiation dose and image quality in mammography, DBT, and CEM"
<p>The dataset comprises information from several DICOM tags extracted from digital mammography (DM), digital breast tomosynthesis (DBT), and contrast-enhanced mammography (CEM) images acquired in a phantom study aimed at characterizing the automatic exposure control (AEC) behavior of diverse mammography equipment. The final ten columns of the datasets encompass signal (mena pixel values, MPV) and noise (standard deviation, SD) measurements derived from phantom images. These measurements are used to compute several image quality metrics, including contrast, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), CNR relative difference in comparison to the 45 mm reference thickness, and a figure of merit (FOM) obtained by diving the squared CNR by the mean glandular dose (MGD).</p>
Fig. 4 in Determination Of Sexual Dimorphism And Morphological Variation Of Pool Barb, Puntius Sophore (Cypriniformes, Cyprinidae), Using Landmark Based Geometric Morphometric Analysis
Fig. 4. Change of body shape along principal component axis (PC 1 = 43.827 %, and PC 2 = 20.578 %). Left side is the lollipop plots. Right side is the transformation grids of shape change.
Fig. 3, a in Determination Of Sexual Dimorphism And Morphological Variation Of Pool Barb, Puntius Sophore (Cypriniformes, Cyprinidae), Using Landmark Based Geometric Morphometric Analysis
Fig. 3, a — eigenvalues plot of the proportion of variance described by each PC, b — scatter plot showing scores on the first two PCs for the sample of non-breeding season and breeding season fish population (female in red, male in blue and non-breeding season population in green).
Fig. 1, a in Determination Of Sexual Dimorphism And Morphological Variation Of Pool Barb, Puntius Sophore (Cypriniformes, Cyprinidae), Using Landmark Based Geometric Morphometric Analysis
Fig. 1, a — male individual in breeding season; b — digitized image of P. sophore with the 14 landmarks (red points) used for the geometric morphometric analysis: c — scatter plot of 14 landmarks configurations after Procrustes Superimposition.
Fig. 2 in Determination Of Sexual Dimorphism And Morphological Variation Of Pool Barb, Puntius Sophore (Cypriniformes, Cyprinidae), Using Landmark Based Geometric Morphometric Analysis
Fig. 2. Distribution of non-breeding season population and the breeding season (male and female) population along first and second canonical variate axes (female in red, male in blue and non-breeding season population in green).
Fig. 2 in Does size matter for horny beetles? A geometric morphometric analysis of interspecific and intersexual size and shape variation in Colophon haughtoni Barnard, 1929, and C. kawaii Mizukami, 1997 (Coleoptera: Lucanidae)
Fig. 2 Landmarks used for geometric morphometric analysis of Colophon specimens: a male C. haughtoni mandible; b male C. kawaii mandible; c male C. haughtoni head; d female head; e pronotum; f elytron. Scale bars represent 2 mm
Fig. 1 Adult Colophon beetles. a Colophon haughtoni. b in Does size matter for horny beetles? A geometric morphometric analysis of interspecific and intersexual size and shape variation in Colophon haughtoni Barnard, 1929, and C. kawaii Mizukami, 1997 (Coleoptera: Lucanidae)
Fig. 1 Adult Colophon beetles. a Colophon haughtoni. b Ventral photograph of C. haughtoni head showing (1) gena, (2) mandible base, (3) ventral process, (4) dorsal process and (5) apex of the mandible. c Ventral view of C. kawaii head. Scale bars represent 4 mm (a) and 2 mm (b, c). Photographs by H.J. de Klerk
BRAIN Journal-Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed-Figure 1: Time vs frequency analysis of 10 Hz SSVEP response
<p>The stability of the SSVEP signal was examined by using wavelet analysis (Wu and Yao 2008). Since there is a trade-off between time and frequency resolution in wavelet analysis, examining the stability of SSVEP with wavelet analysis is getting harder in systems where the visual stimulus frequencies are close to each other, as shown in Figure 1. </p>
Micro-CT scans, whole-test meshes, and internal chamber segments of planktonic foraminifera for three-dimensional analysis of inter- and intra-specific variation in ontogenetic growth trajectories
<p> </p> <p>Here, we release tomographic reconstructions of 42 planktonic foraminifera from plankton tows and sediment traps, along with meshes and shrinkwrap meshes the whole tests and internal meshes of segmented chambers. Shrinkwrap meshes are test meshes that have been modified to close all pores and apertures in the test. Additionally, we have provided sample metadata for each specimen and volumetric measurements for the tests and chambers. This dataset was used in a study of ontogenetic growth in planktonic foraminifera and its variation within and among species.</p> <p> The CT-scans and reconstructions were obtained at Naturalis Biodiversity Center in Leiden, the Netherlands with a Zeiss Xradia 520 Versa micro-CT scanner. The meshes and segments were created at Yale University.</p> <ol> <li>Sample_Metadata.csv: Spreadsheet containing information on the sampling localities and dates for all specimens.</li> <li>Scan_data.csv: Spreadsheet containing metadata for all micro-CT scans including current strength, pixel size, voltage, image height, image width, and the number of images taken.</li> <li>Whole_Test_Measurements.csv: Spreadsheet containing measurements of linear dimensions (axis1, axis2, axis 3), total number of chambers, calcite test volume, calcite test surface area, shrinkwrap volumes, and and shrinkwrap surface areas for all specimens.</li> <li>Chamber_Measurements.csv: Spreadsheet containing measurements of individual internal chamber segments, including position from the final chamber (F-chamber), position from the first chamber (Chamber), volume, and surface area.</li> <li>CT_Scan_Stacks.zip: reconstructed micro-CT image stacks (.tif files) for each specimen.</li> <li>Meshes.zip: Meshes of the test calcite, the shrinkwrap, and the internal chamber segments for each specimen (.stl 3D mesh files). Regular test meshes are named with the format “SampleID.stl”, and shrinkwrap meshes are named “SampleID-WRAP.stl”. Chamber meshes are named “SampleID-CH#.stl” and “SampleID-CH#-Wrap.stl”. Chambers are numbered in relation to their position from the final chamber, with “CH1” being the final chamber and “CH2” being the penultimate chamber.</li> </ol> <p>This data is described and analyzed in the manuscript “Three-Dimensional Analysis of Inter- and Intraspecific Variation in Ontogenetic Growth Trajectories of Planktonic Foraminifera” submitted to the journal <em>Marine Micropaleontology.</em></p>
Figure 7 in Epiplastral and geographic variation in Echmatemys, a geoemydid turtle from the Eocene of North America: A multi-tiered analysis of epiplastral shape complexity
Figure 7. Results of sliding semilandmark process from 3D data, and specimens warped along Principal Component 1 (PC1). A. Thin plate spline deformation grid showing transformation of Echmatemys callopyge mean type along PC1. B. 3D image of Echmatemys callopyge showing the positions of landmarks along the curve indicated in A, specimen no.UNMN.VP.27621. C. 3D image of Echmatemys uintensis showing the positions of landmarks along the curve indicated in D, UMNH.VP.27429. D. Thin plate spline deformation grid showing transformation of E. uintensis mean type along PC1.
Figure 5 in Epiplastral and geographic variation in Echmatemys, a geoemydid turtle from the Eocene of North America: A multi-tiered analysis of epiplastral shape complexity
Figure 5. Principal components plots from geometric morphometric analyses of 2D epiplastral shape data. A. Dorsal epiplastral shape: PC1 (49.3% variance) versus PC2 (16.7% variance). B. Ventral epiplastral shape: PC 1 (47.7% variance) versus PC2 (20.8%) variance.
Figure 4 in Epiplastral and geographic variation in Echmatemys, a geoemydid turtle from the Eocene of North America: A multi-tiered analysis of epiplastral shape complexity
Figure 4. Plot of Tooth-Midline versus Tooth-Lip (TM/TL) values for each specimen. The correlation between these two variables is significant (R2=0.403). Correlation coefficients do not differ significantly between any pair of taxa.
Figure 1 in Epiplastral and geographic variation in Echmatemys, a geoemydid turtle from the Eocene of North America: A multi-tiered analysis of epiplastral shape complexity
Figure 1. Morphological differences in dorsal epiplastral shape between Uintan Echmatemys species. A. Echmatemys callopyge (UMNH.VP.27220). B. Echmatemys uintensis (UMNH.VP.26558). The gular scale is indicated in grey.
Figure 2. A in Epiplastral and geographic variation in Echmatemys, a geoemydid turtle from the Eocene of North America: A multi-tiered analysis of epiplastral shape complexity
Figure 2. A. Standard linear measurements for quantifying the dimensions of the gular scale on the epiplastron of Echmatemys species depicted on UMNH.VP.27220. TM=tooth-midline: Distance between the epiplastral tooth and the anatomical midline. TL=tooth-lip: Distance between the epiplastral tooth and the caudal lip of the gular-humeral sulcus. B. Two-dimensional epiplastral landmarks and semilandmarks used in 2D geometric morphometric comparisons of this study: Ventral surface. Data points were digitized from digital photographs. C. Three-dimensional epiplastral landmarks and semilandmarks used in 3D geometric morphometric analyses in this study. All data points were obtained from 3D NextEngine laser scans. Scale bar=2 cm.
Figure 3 in Systematics, variation, and developmental instability: analysis of spine patterns in ancestrulae of a common bryozoan
Figure 3. Seasonal trends in frequencies of 3:3:1 (black) and variant (grey) spine patterns for the first-generation ancestrulae over the course of the 7-week sampling period from 14 July to 25 August. The ratio of variants to 3:3:1 and % variants are included.
Figure 1 in Systematics, variation, and developmental instability: analysis of spine patterns in ancestrulae of a common bryozoan
Figure 1. (A) SEM of an ancestrula of Bugula stolonifera: this ancestrula has a spine pattern of 4:3:1 (see Figure 2); (B) diagram of the position of left and right distal margins and position of the proximal spine.
Figure 2 in Systematics, variation, and developmental instability: analysis of spine patterns in ancestrulae of a common bryozoan
Figure 2. Some common spine pattern formulae and views of the frontal membrane of ancestralae of Bugula stolonifera. All spine patterns are recorded from the viewpoint of the ancestrula right:left:proximal. (A) Diagram of an ancestrula with the typical 3:3:1 spine pattern cited in the text; (B) 3:3:0 variant spine pattern resulting from a loss of the proximal spine: this spine pattern was the most abundant variant spine pattern accounting for 54% of the variant spine patterns; (C) 3:2:1 variant spine pattern resulting from a loss on the left distal margin; (D) 4:3:1 variant spine pattern resulting from a spine gain on the right distal margin.
Fig. 25. Canonical variate analysis summarizing craniodental differences between G. g in The Cross River Gorillas: A Distinct Subspecies, Gorilla gorilla diehli Matschie 1904
Fig. 25. Canonical variate analysis summarizing craniodental differences between G. g. diehli males (n = 20), G. g. diehli females (n = 13), G. g. gorilla males (n = 35) and G. g. gorilla females (n = 17) based on 11 measurements: (1)incisor row diameter, (2) bimastoid diameter, (3) bizygomatic diameter, (4) biglenoid diameter, (5) interparietal diameter, (6) M1 mesiodistal length, (7) biorbital diameter, (8) skull vault length, (9) cheek tooth row length, (10) P3 mesiodistal length, and (11) maximum palate width listed in decreasing order of discriminating ability. According to a stepwise discrimination analysis these measurements best summarize the measured differences between groups. Mahalanobis generalized squared distances (D2) are 15.52 between the two male means; 6.85 between the two female means; 29.61 between the male and female means for G.g. diehli, 39.09 between male and female means of G. g. gorilla, 47.94 between G. g. diehli females and G. g. gorilla males, and 39.44 between G. g. gorilla females and G. g. diehli males.
Text-fig. 7. Plot of discriminant scores (R1/R2) of individual M1 of Apodemus spp. from particular Pleistocene biozones superimposed onto a plot of variation ranges for the respective variables for the Recent Apodemus sample (based on the discrimination analysis of total set of characters, both metric and non-metric). in Genus Apodemus In The Pleistocene Of Central Europe: When Did The Extant Taxa Appear?
Text-fig. 7. Plot of discriminant scores (R1/R2) of individual M1 of Apodemus spp. from particular Pleistocene biozones superimposed onto a plot of variation ranges for the respective variables for the Recent Apodemus sample (based on the discrimination analysis of total set of characters, both metric and non-metric).
Text-fig. 6. Plot of discriminant scores (R1/R2) of individual m1 and M1 teeth of Apodemus spp. from particular Pleistocene biozones superimposed onto a plot of variation ranges for the respective variables for the Recent Apodemus sample (based on the discrimination analysis of metric variables of M1 and m1). in Genus Apodemus In The Pleistocene Of Central Europe: When Did The Extant Taxa Appear?
Text-fig. 6. Plot of discriminant scores (R1/R2) of individual m1 and M1 teeth of Apodemus spp. from particular Pleistocene biozones superimposed onto a plot of variation ranges for the respective variables for the Recent Apodemus sample (based on the discrimination analysis of metric variables of M1 and m1).
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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.