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4,753 results for “SHAPE”
FIGURE 1 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)
FIGURE 1 | Points representing geographic location for the lots of Vieja maculicauda used in the current study. Straight black lines represent the approximate location of geological block divisions. Purple shading represents a modified version of IUCN redlist data for the distribution of this species (Lyons, 2019).
FIGURE 4 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)
FIGURE 4 | Canonical variate analysis and shape changes along both axes. Shape change has been magnified by two for increased visualization.
FIGURE 3 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)
FIGURE 3 | Principal component analysis of size-corrected shape and deformation grids along each axis.
FIGURE 2 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)
FIGURE 2 | Landmarks (in blue) and semilandmarks (in red) as placed on each specimen. Landmark positions are described on Tab. S1.
FIGURE 1 in Discriminating Scleromystax barbatus (Siluriformes: Callichthyidae) populations from Atlantic Rainforest streams employing otolith shape
FIGURE 1 | Locations where Scleromystax barbatus populations were sampled in clear-water streams of the coastal Atlantic Rainforest biome. Red symbols represent the southern locations (VR, GR, DM, CU, and PE) and blue symbols indicate the southeastern locations (AR, PM, and AE).
FIGURE 4 in Discriminating Scleromystax barbatus (Siluriformes: Callichthyidae) populations from Atlantic Rainforest streams employing otolith shape
FIGURE 4 | Otolith shapes of males and females of Scleromystax barbatus from southern and southeastern regions in the Atlantic Rainforest biome employing a Canonical Analysis of Principal Coordinates (CAP) applied to Fourier (above) and Wavelet (below) coefficients. Bold letters represent the mean canonical coordinates surrounding the standard error for each population. Lines represent the groups: SeFe (Females from the southeastern region), SeMa (Males from the southeastern region), SFe (Females from the southern region), SMa (Males from the southeastern region).
FIGURE 3 in Discriminating Scleromystax barbatus (Siluriformes: Callichthyidae) populations from Atlantic Rainforest streams employing otolith shape
FIGURE 3 | Mean otolith shape based on the Fourier (above) and Wavelet (below) reconstructions for males and females of Scleromystax barbatus from southern and southeastern regions in the Atlantic Rainforest biome. Lines represent the groups: SeFe (Females from the southeastern region), SeMa (Males from the southeastern region), SFe (Females from the southern region), SMa (Males from the southeastern region).
FIGURE 2 in Discriminating Scleromystax barbatus (Siluriformes: Callichthyidae) populations from Atlantic Rainforest streams employing otolith shape
FIGURE 2 | Ventral view of the left lapillus otoliths of Scleromystax barbatus from streams in the southern (VR, GR, DM, CU, and PE) and southeastern (AR, PM, and AE) regions of the Atlantic Rainforest biome. A (Anterior), M (Medial).
Figure 6 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 6. Principal component analysis (PCA) graph (biplot) showing the consistency between the variation in the otoliths shape (OS) and the variation in fatty acid composition between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia.
Figure 4 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 4. Principal component analysis (PCA) graph (biplot) showing the barycenter () projection of the left (L) and right (R) otolith shape values between (a) and within (b) males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. TM: T. mediterraneus; SP: S. pilchardus; CA: C. auratus; MB: M. barbatus; GN: G. niger; TD: T. draco.
Figure 5 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 5. Hierarchical ascending classification (HAC) dendrogram generated based on the left and right otoliths shape values of dissimilarity between individuals of the six species collected from the five stations in the Gulf of Tunis, Tunisia. TM: T. mediterraneus; SP: S. pilchardus; CA: C. auratus; MB: M. barbatus; GN: G. niger; TD: T. draco.
Figure 3 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 3. (a) Discriminant function analysis (DFA) and (b) principal component analysis (PCA) graph (biplot) showing the barycenter projection and distribution of the fatty acid composition percentage values between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. T.m.: T. mediterraneus.
Figure 2 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 2. Real images of the left (L) and right (R) otoliths of (A) T. mediterraneus, (B) S. pilchardus, (C) C. auratus, (D) T. draco, (E) G. niger, and (F) M. barbatus individuals collected from the five stations in the Gulf of Tunis, Tunisia.
Figure 1 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 1. Study area and location of the sampling stations (■) from which individuals of the six species were collected from the Gulf of Tunis, Tunisia.
Digital Elevation Models from Planetary Flyby Images of Mercury and the Moon with Shape and Albedo from Shading
<p>Supplemantary material to Krüll, I., Wohlfarth, K., Tenthoff, M., Wöhler, C., Galluzzi, V., Wright, J., Benkhoff, J., and Zender, J.: Shape and Albedo from Shading with Planetary Flyby Images of Mercury and the Moon, Europlanet Science Congress 2024, Berlin, Germany, 8–13 Sep 2024, EPSC2024-247, https://doi.org/10.5194/epsc2024-247, 2024.</p> <p><strong>Abstract</strong></p> <p>Surface reconstruction of planetary bodies such as the Moon and Mercury is crucial for geomorphological analysis, reflectance normalization, thermal modeling, rover landing site planning, and outreach activities. Stereo algorithms and Shape-and-Albedo-from-Shading (SAfS) are well-established methods for planetary 3D reconstruction. SAfS refines the surface slopes of a stereo Digital Elevation Model (DEM) and typically yields 3D models at image resolution. This approach is well-validated for scientifically calibrated instruments that observe the planetary body under favorable conditions. This work applied the SAfS algorithm to more challenging planetary flyby images acquired with uncalibrated off-the-shelf cameras. We investigated three scenarios: a fly-by image of the Moon captured by a GoPro during the Artemis I mission, a fly-by image of Mercury which was obtained with a monitoring camera during BepiColombo’s third flyby, and a telescope image taken in Wetter, Germany. We qualitatively and quantitatively assessed the algorithm's performance. The results of the two flyby images indicate that, despite the challenging conditions, the SAfS algorithm could reconstruct the surface up to image resolution and increase the level of detail of the input DEM. The reconstructed DEM of the telescope image is the one with the lowest resolution. All in all, our flyby-derived DEMs are accurate. They provide excellent outreach products, as demonstrated by ESA's BepiColombo flyby movie: https://www.esa.int/Science_Exploration/Space_Science/BepiColombo/BepiColombo_s_third_Mercury_flyby_the_movie</p> <p><strong>Dataset<br></strong></p> <p>We applied the SAfS algorithm to different Regions of Interest (ROIs) in the flyby and telescope images. The ROIs are marked in Artemis_Flyby_ROIs.png, Bepicolombo_Flyby3_ROIs.png and Moon_Telescope_ROIs.png, respectively. For each ROI a DEM is provided centered on the latitude and longitude (0-360, positive east) in the filename. Furthermore a Red/ Blue Stereo anaglyph of the original image was created with the SAfS DEM (for this purpose the height has been exaggerated).</p> <p> </p>
Figure 2 in Using otolith shape analysis to distinguish barracudas Sphyraena sphyraena and Sphyraena viridensis from the Algerian coast
Figure 2. - Photographs of left (L) and right (R) sagittal otoliths of S. sphyraena (LT = 37 cm) and S. viridensis (LT = 53 cm), captured in the Gulf of Annaba.
Figure 3 in Using otolith shape analysis to distinguish barracudas Sphyraena sphyraena and Sphyraena viridensis from the Algerian coast
Figure 3. - Canonical discriminant analysis achieved with both otolith of the two species of Barracuda Sphyraena sphyraena (S. s) and Sphyraena viridensis (S. v) (x) S. s right, (o) S. s left, (+) S. v right and (Δ) S.v left.
Fig. 5 in Gladius shape variation in coleoid cephalopod Trachyteuthis from the Upper Jurassic Nusplingen and Solnhofen Plattenkalks
Fig. 5. Gladius of vampyropod coleoid Trachyteuthis nusplingensis sp. nov. A. Holotype (SMNS 63596), Upper Kimmeridgian (Hybonoticeras beckeri Zone), Nusplingen. A1, gladius seen in dorsal aspect; A2, close−up of A1 showing the granules at the anterior third of the gladius; A3, close−up of A1 showing the granules at the middle third of the gladius; A4, close−up of A1 showing the granules at the posterior third of the gladius. B. Specimen SMNS 63259, Upper Kimmeridgian (Hybonoticeras beckeri Zone), Nusplingen, gladius seen in dorsal aspect. C. Specimen SMNS 65345, Upper Kimmeridgian (Hybonoticeras beckeri Zone), Nusplingen, gladius seen in dorsal aspect.
Fig. 7 in Gladius shape variation in coleoid cephalopod Trachyteuthis from the Upper Jurassic Nusplingen and Solnhofen Plattenkalks
Fig. 7. Gladius and soft−parts of vampyropod coleoid Trachyteuthis cf. teudopsiformis sp. nov. A. Specimen SOS 1425a (specimen of Naef 1922: fig. 52), Lower Tithonian (Hybonoticeras hybonotum Zone), dorsal imprints; note on both sides of gladius the subcircular structures which Naef (1922) identified as fins. B. Close−up of A showing the gladius outline especially of the posterior part; note evidence of a granulated median keel in the anterior half. 20 mm
Fig. 4 in Gladius shape variation in coleoid cephalopod Trachyteuthis from the Upper Jurassic Nusplingen and Solnhofen Plattenkalks
Fig. 4. Gladius of vampyropod coleoid Trachyteuthis hastiformis (Rüppell, 1829). Specimen SOS 5762, Lower Tithonian (Hybonoticeras hybonotum Zone), Sappenfeld (Solnhofen area). A. Dorsal view. B. Close up of A showing the anterior mantle margin. Note that the gladius protrudes from the latter. C. Close−up of A showing position and shape of the paired fins. D. Close−up of A showing the granules at the anterior third of the gladius. E. Close−up of A showing the granules at the middle third of the gladius. F. Close−up of A showing the granules at the posterior third of the gladius.
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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)
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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.