Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
18,621
datasets available to search
ShareScore release 0.9.0
Dataset results
18,621 results for “development;”
Fig. 11 in Larval external morphology and development in Feihyla kajau (Dring, 1983) (Amphibia: Anura: Rhacophoridae)
Fig. 11. Morphological changes of Feihyla kajau tadpole at Stage 41 in dorsal (top) and ventral (bottom) views.
Fig. 13 in Larval external morphology and development in Feihyla kajau (Dring, 1983) (Amphibia: Anura: Rhacophoridae)
Fig. 13. Relationship between snout-vent length and tail length between Stages 26 and 42 in Feihyla kajau.
Fig. 3 in Larval external morphology and development in Feihyla kajau (Dring, 1983) (Amphibia: Anura: Rhacophoridae)
Fig. 3. Schematic representation of mouthparts of Feihyla kajau tadpole (after ZMH A13779; Stage 35)
Fig. 4 in Molecular Evidence For Direct Development In The Rhacophorid Frog, Philautus Acutus (Rhacophoridae, Anura) From Borneo
Fig. 4. Consensus dendrogram of neighbour joining bootstrapping analysis illustrating distances of 12S and 16S rDNA sequences. The four Philautus acutus specimens are conspecific.
Fig. 2 in Molecular Evidence For Direct Development In The Rhacophorid Frog, Philautus Acutus (Rhacophoridae, Anura) From Borneo
Fig. 2. Colouration in life of Philautus acutus, from Gunung Mulu,Sarawak, Malaysia (Borneo). Daytime colouration of specimen somewhat stressed during photography.
Fig. 3 in Molecular Evidence For Direct Development In The Rhacophorid Frog, Philautus Acutus (Rhacophoridae, Anura) From Borneo
Fig. 3. Eggs with froglets assigned to Philautus acutus, from Gunung Mulu, Sarawak, Malaysia (Borneo): a, close-up of two eggs, containing froglets; b, close-up of a single egg. Note the bright iris colouration of the froglet and the opaque yellow outer jelly capsule of the eggs; c, dorsal view of froglet in the vitelline layer, after compact outer jelly capsule was removed. Note X-shaped pattern on dorsum and reduced tail with blood vessels. d, ventral view of froglet in vitelline layer, with compact outer jelly capsule removed. Note gut filled with yolk visible through skin and scattered iridophores.
Figure 17 in Morphometrics: History, development methods and prospects
Figure 17. Major structure of shape variation for the fish sample as assessed the image pixel data (Fig. 5C). See text for discussion.
Figure 16 in Morphometrics: History, development methods and prospects
Figure 16. Gross dorsal fin shape differences between two species included in the example fish dataset. See text for discussion.
Figure 13 in Morphometrics: History, development methods and prospects
Figure 13. Cross sections through the Procrustes shape space illustrating various spatial relations between the reference (red) and target (green) configurations. All Procrustes-aligned landmark configurations exists as point locations on the surfaces of hyperdimensional manifolds the radius of which is determined by the configurations' size. Left. Between any two configurations the Procrustes Distance (D) is the length of the shortest arc between the configurations points on the shape manifold's surface. The Partial Procrustes Distance (Dp) is the linear distance between these points. For point comparisons for which the arc angle (Ɵ) is small Dp will provide a good estimate of D. Interestingly, the closer match between the target and reference configurations points can be found by relaxing the constraint of size similarity. The Full Procrustes Distance (Df) is the minimal distance between the reference and the target configurations when the size of the target is allowed to vary, but not its shape. Right. The distribution of a shape or series of shapes with respect to a reference shape may be portrayed in the linear spaces that have become traditional in pre-geometric morphometrics by orthogonally projecting their positions on the Procrustes shape manifold to a linear plane. This operation can be accomplished via covariance-based PCA of the complete set of partial warp scores (= relative warps analysis) or direct covariancebased PCA of the Procrustes shape coordinates expressed as deviations from the reference shape. Under this convention the projection plane will be tangent to the shape manifold at the point of the reference shape and exhibit a reduced dimensionality from that of the shape manifold's surface. If the total range of shape variation present within the sample is small the apparent Procrustes distances (Dp) between point locations in this tangent space will be good estimates of both the Partial Procrustes Distance (Dp) and (by extension) the Procrustes Distance (D). Redrawn from an original diagram by F. J. Rohlf.
Figure 11 in Morphometrics: History, development methods and prospects
Figure 11. Thin plate spline representations of the isotropic (= uniform) and anisotropic (= non-uniform) components of shape variation implicit in the comparison between D'Arcy Thompson's (1917) drawings of Argyroplecus and Sternoptyx after GLS Procrustes alignment the landmark configurations. For this comparison the non-uniform component was calculated using the complement procedure described by Rohlf and Bookstein (2003). By convention there is no bending energy associated with the uniform component of shape deformation. D'Arcy Thompson identified the dominant uniform dorsal-ventral shear component of this shape transition correctly, but did not identify (or discuss) the non-uniform component, which he may have regarded as unstructured or random variation.
Figure 15 in Morphometrics: History, development methods and prospects
Figure 15. Major structure of shape variation for the fish sample as assessed the boundary outline semilandmark data (Fig. 5C). See text for discussion.
Figure 8 in Morphometrics: History, development methods and prospects
Figure 8. Principal components ordinations of the Procrustes-aligned triangle configurations shown in Figure 6.
Figure 8 in Morphometrics: History, development methods and prospects
Figure 8 shows results of a covariance-based PCA of these Procrustes aligned shape-coordinate data both in terms of the first two (left) and a complete set of three (right) principal components.1 Each point in this space represents a unique configuration of the six coordinate values that, together, comprise any triangle. But unlike the width/height space (or a PCAdetermined representation thereof, see Fig. 6), all but three triangles in each group exhibit unique coordinate locations in the
Figure 19 in Morphometrics: History, development methods and prospects
Figure 19. Results of an adaptive semilandmark interpolation analysis in which the Argyroplecus and Sternoptyx outlines, originally sampled with 250 semilandmark points, were interpolated using 13 landmark points located on the outline (blue = boundary outline termination landmarks, red = landmarks). Use of these landmark points breaks the outline into 12 segments which can then be interpolated separately using n equally spaced semilandmark points (green) where n equals the number of semilandmark points required to ensure a geometric fidelity fit of 95% of the length of the original (digitized) curve. This procedure ensures all aspects of the boundary outline are matched exactly at, and in the vicinity of the landmark points and ensures that all segments of the outline are represented to a consistent geometric representational standard. In order to meet these criteria over the entire outline for both forms 83 points were necessary. The eye, gill opercula dorsal terminus and the pectoral fin were excluded from this analysis, but could easily be added using identical criteria to constrain their representation, as could additional landmark points.
Figure 14 in Morphometrics: History, development methods and prospects
Figure 14. Major structure of shape variation for the fish sample as assessed the landmark data (Fig. 5B). See text for discussion.
Figure 7 in Morphometrics: History, development methods and prospects
Figure 7 shows the result of a Procrustes alignment of vertex coordinates for the groups of triangles shown in Figure 6. This alignment expresses the least squares deviation of each triangle from the mean triangle which, for this dataset, happens
Figure 12 in Morphometrics: History, development methods and prospects
Figure 12. Thin plate spline interpolations of selected principle warps for Argyroplecus illustrating the increasing spatial generality, and decreasing bending energy, associated with these orthogonal components of non-uniform deformation. See text for discussion.
Figure 5 in Morphometrics: History, development methods and prospects
Figure 5. Alternative datasets that can represent the geometric aspects of an object or specimen's form. Landmarks shown in red. Boundary-outline curve termination landmarks shown in blue. Boundary outline semilandmarks shown in green. Note differences in the completeness, degree of abstraction, focus of representation, and sizes of these alternatives. Original image is a greyscale rendering of the porkfish (Anisotremus virginicus) published originally as a color figure in Shaw and Nodder (1799).
Figure 4. A in Morphometrics: History, development methods and prospects
Figure 4. A selection of standard linear distance measurements used to quantify form variation in fish. Note the level of redundancy and uneven coverage of the form inherent in these measurements as well as the fact that the endpoints (= landmarks) that define these distances are not always located at topologically corresponding locations on biologically homologous structures. Fish image courtesy of The Natural History Museum (London, image no. BMNH 413511).
Figure 18 in Morphometrics: History, development methods and prospects
Figure 18. Equally-spaced boundary outline semilandmark coordinate representations of Thompson's Argyoplecus and Sternoptyx images using 50-point and 150-point sampling schemes. White icons represent every 10th semilandmark in the 50-point outline sequence and every 25th semilandmark in the 150-point outline sequence. Note how the detail of the outlines present in the original drawings has been smoothed in both schemes. Nevertheless, the representational quality is much greater in both schemes than for the landmark sample scheme shown in Fig. 5B. Note also that the level of mismatch between comparable points in both semilandmark sequences, with respect to biologically homologous structures, is remarkably good, though there is an obvious mismatch of points between these two outlines in the dorsal fin of the 150-point sampling scheme.
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.