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.
4,753
datasets available to search
ShareScore release 0.9.0
Dataset results
4,753 results for “SHAPE”
FIGURE 4 in The intriguing shapes of the ammonoid whorl
FIGURE 4. Paleolatitude of the original locality for each ammonoid specimen through time. Note the widespread distribution of the clade.
FIGURE 7 in The intriguing shapes of the ammonoid whorl
FIGURE 7. Morphospace for the WPS based on the first three principal components showing the density curves. A) Scatter plot for PC1 and PC2. B) Density heat map for PC1 and PC2. C) Scatter plot for PC1 and PC3. D) Density heat map for PC1 and PC3.
Figure 1 in Spatial structuring of the main demersal fish around Réunion Island (Western Indian Ocean) based on the external shape of their otoliths
Figure 1. – Map of sampling locations around La Réunion coast from 2018 to 2020. A: High bottom, old formation, influenced by the river of the pebbles, the pond of Saint-Paul and the Ravine Saint-Gilles, located between zones of basaltic and coral sands. B: Dry zone with hard substratum/sablo-corallian with episodic heavy rain events. C: Recent facies on volcanic substratum, strongly watered by underground infil- trations (Grande Anse to Piton Sainte- Rose). D: Zone on alluvium and pebbles, strongly watered by permanent superficial streams. E: Sandy bay, load- ed with organic matter, clean hydrodynamic characteristics, transition zone.
Fig. 1 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 1. Configuration of landmarks (red dot within yellow circles) as applied to all color pattern variation (CPV) grades of Cichla temensis. (1) the anterior point of the skull; (2) the anterior edge of the base of the first dorsal spine; (3) the center of the base of the 10 th dorsal spine; (4) the base of the first long ray of the second dorsal fin; (5) the base of the 9 th ray of the second dorsal fin; (6) the posterior point of termination of the second dorsal fin; (7) the posterior base of the anal fin; (8) the base of the 7th anal fin ray; (9) the anterior insertion of the anal fin; (10) the cloaca; (11) the ventral termination of the scale row emanating from the insertion of the 10th dorsal spine; (12) the ventral termination of the scale row emanating from the anterior point of the insertion of the pelvic fin.
Fig. 2 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 2. Thin-plate-spline deformation grids depicting (a) overall body shape differences between extremes of CPV grades (magnified 3x); (b) the increase in area at the bases of the second dorsal and anal fins between extremes of CPV grades (magnified 3x).
Fig. 4 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 4. Height to length ratio of color pattern variants of Cichla temensis. The average height/SL ratio increased with CPV grade from a low of 0.2694 for CPV Grade 1 (paca), 0.2725 for CPV Grade 2, 0.2771 for CPV Grade 3 and 0.2822 for CPV Grade 4 (açu).
Fig. 7 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 7. Geometric Morphometric Analysis applied to Odontesthes bonariensis individuals. Left: plot of DF1 vs. Standard length (SL), showing quadratic fit with 95% confidence interval (N= 100) and means and 95% confidence intervals by sampling sites (locality labels as in Fig. 1) ULLM (gray square), CARZ (white circle), D (black square), URRE (white triangle), PELE (gray triangle). Right: Deformation grids correspond to a relative warps analysis (see Table 3) involving only CARZ and D. Arrows indicate displacement of landmarks relative to consensus. Shaded area remarks relative position of landmarks 5 (anterior insertion of the first dorsal fin) and 12 (distal tip of the pelvic fin onto fish body).
Fig. 2 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 2. Landmarks used in geometrics morphometrics analysis: 1, anterior tip of the premaxilla; 2, eye center; 3, posterior process of symplectic bone; 4, dorsal insertion of the pectoral fin; 5, anterior insertion of the first dorsal fin; 6, anterior insertion of the second dorsal fin; 7, dorsal insertion of the caudal fin; 8, posterior end of the lateral line; 9, ventral end of the caudal fin; 10, anterior insertion of the anal fin; 11, anus; 12, distal tip of the pelvic fin onto fish body; 13, anterior insertion of the pelvic fin; 14, vertical tie of landmark 12 onto the lateral line; 15, vertical tie of landmark 10 onto the lateral line. Black line scale: 2 cm.
Fig. 3. Maximum likelihood phylogeny for 72 unique haplotypes obtained from O. hatcheri, O in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 3. Maximum likelihood phylogeny for 72 unique haplotypes obtained from O. hatcheri, O. bonariensis, and O. smitti. Haplotype labels indicate their sampling locality (as explained in Fig. 1 and Table 1) and the number of individuals (in parentheses). Several common haplotypes were recovered from several individuals from the same or different localities (most significantly haplotype 5). Monophyly of haplotypes from each species is supported by 100% bootstrap values, and two groups of O. hatcheri haplotypes (from EPU and CDP, indicated by heavier lines) also received strong bootstrap support. All other nodes were weakly supported by bootstrap analyses. *: presumptive hybrids individuals identified on meristic and morphological characters (Table 2).
Fig. 7 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration
Fig. 7. Correlations between the geographical distances and the Euclidean distances between the mean values of the forewing shapes (strong positive correlation, P <0.001, r = 0.58) and the hind wing shapes (strong positive correlation, P <0.001, r = 0.78).
◂Fig. 1 Live photos and dissection of parasitized Aphrodita longipalpa and Veneriserva pygoclava. A Ventral view of A. longipalpa. B Dorsal view of A. longipalpa with removed feltage chaetae, revealing the parasite visible through the body wall. C Ventrally dissected A. longipalpa, exposing the sizable female parasite. Veneriserva pygoclava individuals within the host are indicated by arrowheads. D Juvenile female V. pygoclava, with developing oocytes visible through the body wall along the mid-dorsal orange line. E Female V. pygoclava showing the mid-dorsal orange pigmentation and the white mark at the base of the prostomium. F Male V. pygoclava. G A large female and smaller male V. pygoclava, extracted from the same host. The pygidium is club-shaped in both males and females and juveniles. H Juvenile V. pygoclava shown from multiple angles, characterized by a complete white coloration; black jaws are magnified in panel in Hardly Venus's servant-morphological adaptations of Veneriserva to an endoparasitic lifestyle and its phylogenetic position within Dorvilleidae (Annelida)
◂Fig. 1 Live photos and dissection of parasitized Aphrodita longipalpa and Veneriserva pygoclava. A Ventral view of A. longipalpa. B Dorsal view of A. longipalpa with removed feltage chaetae, revealing the parasite visible through the body wall. C Ventrally dissected A. longipalpa, exposing the sizable female parasite. Veneriserva pygoclava individuals within the host are indicated by arrowheads. D Juvenile female V. pygoclava, with developing oocytes visible through the body wall along the mid-dorsal orange line. E Female V. pygoclava showing the mid-dorsal orange pigmentation and the white mark at the base of the prostomium. F Male V. pygoclava. G A large female and smaller male V. pygoclava, extracted from the same host. The pygidium is club-shaped in both males and females and juveniles. H Juvenile V. pygoclava shown from multiple angles, characterized by a complete white coloration; black jaws are magnified in panel
Fig. 2. Pleuronema grolierei after protargol impregnation. A, C. Ventral views showing a typical body shape and infraciliature. B. Dorsal view showing somatic kineties. D. Nuclear apparatus, arrow denotes a in Taxonomy of four scuticociliates (Protozoa: Ciliophora) from coastal waters of South Korea
Fig. 2. Pleuronema grolierei after protargol impregnation. A, C. Ventral views showing a typical body shape and infraciliature. B. Dorsal view showing somatic kineties. D. Nuclear apparatus, arrow denotes a micronucleus. CC, caudal cilia; Ma, macronucleus; M1, 3, membranelles 1, 3; M2a, anterior part of membranelle 2; M2b, posterior part of membranelle 2; PM, paroral membrane; PK; preoral kineties; PoK, postoral kinety; SK, somatic kineties. Scale bar = 30 μm.
Fig. 4 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. 4 Box plots and deformation grids showing size variations and shape deformations in Colophon beetles: female Colophon, male C. haughtoni and male C. kawaii. Size was measured as natural log transformed centroid size (LnCS). Deformation grids show the shape changes related to size from the smallest to the largest individuals. Values in parentheses are the magnification applied to improve visualisation of shape deformations
Autonomously Shaping Natural Climbing Plants: A Bio-hybrid Approach
<p>Plant shaping experiments data.</p>
Synthetic Data for Neutrophil Analysis: Sets one large neutrophil shape and Poisson noise
<p><strong>Synthetic Datasets with one large irregular shape and Poisson noise.</strong></p> <p><strong>Part of the PhagoSight neutrophil tracking and analysis package (Henry, et al., PLOS ONE, 2013):</strong></p> <p> </p> <p>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0072636</p> <p>http://www.phagosight.org</p> <p>https://github.com/phagosight/phagosight</p> <p> </p> <p>A series of synthetic data sets that reproduce different behaviour characteristics of migrating neutrophils were generated in MATLAB. The data sets consisted of one artificial neutrophil that travelled along a path that presented different conditions of tortuosity, times to activation during 98 time frames.</p> <p>Numerous data sets of neutrophils in zebrafish were carefully observed before setting the characteristics. One trajectory was manually determined by setting the row, column positions of the centroid at every time point for 98 time frames. The trajectory was designed so that it would represent different neutrophil behaviours: some moments were very oriented and had movements with uniform distance between time frames, whilst others were less uniform and would move at different velocities, some were tortuous whilst others were straight.</p> <p>Each time frame consisted of 11 slices of z-stack each with 275 x 275 pixels, where the neutrophil was formed by Gaussian distributions of higher intensities than the background and <strong>Poisson noise </strong>(check the corresponding sets with <strong>smaller </strong>regular shapes with Gaussian noise and irregular shapes with Poisson noise).</p> <p> </p> <p>Files corresponding to the sets with irregular shapes and Poisson noise (noise increases from 1 to 5):</p> <ul> <li><strong> Ground Truth syntheticData_L_mat_La </strong></li> <li><strong> First data set syntheticData_L1_mat_Re</strong></li> <li><strong> Second data set syntheticData_L2_mat_Re</strong></li> <li><strong> Third data set syntheticData_L3_mat_Re</strong></li> <li><strong> Fourth data set syntheticData_L4_mat_Re</strong></li> <li><strong> Fifth data set syntheticData_L5_mat_Re</strong></li> </ul> <p> </p> <p>Corresponding GIF files are also included as illustrations of the cells in motion.</p> <p> </p> <p>Main Reference:</p> <p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0072636"><strong><em>PhagoSight</em>: An Open-Source MATLAB® Package for the Analysis of Fluorescent Neutrophil and Macrophage Migration in a Zebrafish Model</strong> </a><br> Henry KM, Pase L, Ramos-Lopez CF, Lieschke GJ, Renshaw SA, Reyes-Aldasoro CC. (2013) <em>PhagoSight</em>: An Open-Source MATLAB® Package for the Analysis of Fluorescent Neutrophil and Macrophage Migration in a Zebrafish Model. PLOS ONE 8(8): e72636. <a href="https://doi.org/10.1371/journal.pone.0072636">https://doi.org/10.1371/journal.pone.0072636</a></p>
Supplementary material 1 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
Supplementary material 2 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
Figure 2 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
Figure 2 The final path model showing the causal relationships between the landscape variables and both the taxonomic and functional diversity of fish communities in the coastal lakes of the Tramandaí River Basin in Southern Brazil. Dotted line = not significant (p > 0.05). The curved double-headed arrows in grey depict correlated errors among variables.
Figure 1 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
Figure 1 Hypothetical framework used to build the path model, with plausible causal connections between the landscape variables and both the taxonomic and functional diversity of the fish communities of the coastal lakes of the Tramandaí River Basin in Southern Brazil
Supplementary material 3 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
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.