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.
153
datasets available to search
ShareScore release 0.9.0
Dataset results
153 results for “morphometric character”
Cross section shape: circular elliptical unknown Siphuncle position: central marginal unknown Fig. 4 Morphometrics of orthoconic cephalopods from the Besano Formation. Measurements are compared with discrete characters of the shell. Orange circles represent definite and orange crosses likely orthoceratoids, while blue triangles represent definite and blue crosses likely coleoids. Black crosses are indeterminable. A Apical angle, calculated from length and diameters of the specimens. B Maximum diameter in Orthoceratoid and coleoid cephalopods from the Middle Triassic of Switzerland with an updated taxonomic framework for Triassic Orthoceratoidea
Cross section shape: circular elliptical unknown Siphuncle position: central marginal unknown Fig. 4 Morphometrics of orthoconic cephalopods from the Besano Formation. Measurements are compared with discrete characters of the shell. Orange circles represent definite and orange crosses likely orthoceratoids, while blue triangles represent definite and blue crosses likely coleoids. Black crosses are indeterminable. A Apical angle, calculated from length and diameters of the specimens. B Maximum diameter
Figure 6. PCA scatter plot for the 2 canonical variates generated from the 7 morphometric characters from 5 in Morphological and biometrical comparisons of the baculum in the genus Nannospalax Palmer, 1903 (Rodentia: Spalacidae) from Turkey with consideration of its taxonomic importance
Figure 6. PCA scatter plot for the 2 canonical variates generated from the 7 morphometric characters from 5 species.
Figures 4–9. Morphometric characters. 4 in Morphological variability and evaluation of taxonomic characters in the genus Erythemis Hagen, 1861 (Odonata: Libellulidae: Sympetrinae)
Figures 4–9. Morphometric characters. 4) S1-3 of E. carmelita male, 5-6) E. simplicicollis male; 7) E. peruviana female; 8) FW of E. vesiculosa male; 9) E. simplicicollis male. Abbreviations indicate the following characters, LFW, LHW: FW or HW length; Lnpt: Nodus-pterostigma length; Antr: Triangle width; Lar: Arculus-second antenodal length; Lba: wing base-arculus length; Lban: Wing base-nodus length; Anpt: Pterostigma width; Lopt: Pterostigma length; Ansbt: Subtriangle width; Acd: HW discoidal field posterior border width; Anb: HW base width; Lasa-ca: Supplementary anal vein-Cu-A crossvein, Lab: Abdomen length; Las: Cercus length; Ddas: reach of teeth on ventral region of cercus; Anas: Anterolateral width of cercus; S: Abdominal segment 3; LclS3: Lateral carina length; LcaS3: 3 Apical carina length; Lecv: Ventral carina length; Lecv-clS3: Basal area between ventral-lateral carinae on S3; Wm: Width medial region of the abdominal segment; S 8: Abdominal segment 8; S 9: Abdominal segment 9; Lal: Female lamina length from base of basal lobe to apex.
Figure 4. Phenetic tree with 25 in A web based tool to merge geometric morphometric data from multiple characters
Figure 4. Phenetic tree with 25 dung beetles based on Procrustes distances, which are computed from the merged geometric morphometric data from characters of the epipharynx, right mandible, pronotum, elytra, hind wing, and metendosternite in lateral and dorsal view (totally 649 landmarks). Abbreviations for the tribe names: AT—Ateuchini, CO—Coprini, DE—Deltochilini, GY— Gymnopleurini, ON—Oniticellini, OP—Onthophagini, OT—Onitini, SC—Scarabaeini, SI—Sisyphini.
Figure 2 in A web based tool to merge geometric morphometric data from multiple characters
Figure 2. Description of the landmarks, curves and merged data. a). Epipharynx (Onthophagus (Palaeonthophagus) gibbulus in dorsal view), 14 landmarks and five curves. b). Mandible (right mandible of Synapsis yunnanus in dorsal view), eight landmarks and four curves. c). Pronotum (Euonthophagus amyntas), two landmarks and one curve. d). Elytra (Euonthophagus amyntas), three landmarks and one curve. e). Hind wing (right hind wing of Copris lunaris), 19 landmarks, terminology following Kukalová- Peck and Lawrence (1993). f). Metendosternite (Digitonphagus gazelle in lateral view), nine landmarks and four curves. g). Metendosternite (Digitonphagus gazelle in dorsal view), 14 landmarks and five curves. h). Merged data of all seven characters. All curves were re-sampled in 30 semi-landmarks, except the curves mentioned in different numbers of semi-landmarks, such as all curves in Figs 1a–b, and curve 1 in Fig. 1f.
Figure 3 in A web based tool to merge geometric morphometric data from multiple characters
Figure 3. Morphological variation of 25 dung beetles species based on merged geometric morphometric data from the epipharynx, right mandible, pronotum, elytra, hind wing, and metendosternite in lateral and dorsal view (totally 649 landmarks). Relative warps computed from the landmark data set merged from seven body character complexes. Each tribe is indicated by a different color. The Minimal Spanning Tree is the shortest possible set of lines connecting all points.
Figure 18 in Objective identification of Lepidocyclina (Foraminifera) species from the Eocene of Cuba based on growth-invariant morphometric characters
Figure 18. Mean growth functions of row measurements.
Figure 16 in Objective identification of Lepidocyclina (Foraminifera) species from the Eocene of Cuba based on growth-invariant morphometric characters
Figure 16. Mean growth functions of chamberlet measurements.
Figure 9 in Objective identification of Lepidocyclina (Foraminifera) species from the Eocene of Cuba based on growth-invariant morphometric characters
Figure 9. Cluster analysis based on Ward's method. Sample locations indicated by colours.
Satyrium longicauda (Orchidaceae) species complex: Morphometric characters and DNA sequences
<p><strong>Morphology.xlsx</strong></p> <p>Morphological data obtained from 1802 individuals of the <em>Satyrium longicauda</em> (Orchidaceae) complex. Each entry has fifteen values representing both vegetative and reproductive characters. The full dataset or part of it has been used to perform univariate and multivariate analyses.<br> Each data point was obtained by measuring fresh material either with a ruler or a pair of calipers or by counting the number of different structures.</p> <p><strong>TS Alignment_130Samples.nex</strong></p> <p>Dataset that contains 130 ITS sequences including 14 gaps codified. This dataset has been used to perform phylogenetic analyses using both parsimony and Bayesian inference. All sequences are publically available on Genbank.</p>
Figure 1. A in A web based tool to merge geometric morphometric data from multiple characters
Figure 1. A workflow for the method.
Figure 4 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 4. Multiple correlation between the ratios. The ratios are ordered according to their contribution to the first component in a principal components analysis. Blue indicates positive correlation while red indicates a negative correlation. Colour intensity shows the correlation level: the darker the colour, the higher the correlation. Crosses indicate there is no correlation between variables.
Figure 3 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 3. Cluster analysis of the ratios. Values above the lines indicate bootstrap probability. Vertical scale indicates Euclidean distance. Variable abbreviations are listed in Table 2.
Figure 7 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 7. First canonical root (Can1) of the discriminant analysis applied to groups generated by the cluster analysis. Lines in the box structure indicates the contribution of each ratio to the canonical function and thus to the discrimination of the groups. For ratio abbreviations see Table 2.
Figure 2 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 2. Bean plots of the ratios where the KW test showed significant differences between sexes. (a) Length/Width of Carapace (Ca) and (b) Length/Width of Leg IV femur-patella (IVFP).
Figure 6 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 6. Cluster analysis of the individuals. Vertical scale indicates Euclidean distance. Boxes enclose the groups defined (a–f). Lower case letters are the types of c A. cordimanum e A. ecuadorense p A. parvum r A. rufeolum v1 and v2 syntypes of A. vastum. * denotes males.
Figure 5 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 5. Principal component analysis of the ratios. Percentages indicate the proportion of the variance explained by the first two components.
Figure 9 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 9. Scatterplot of Pedipalpal chela without pedicel length (CL) against Pedipalpal femur length (PFL). (a) Linear measurements (b) Length/width ratios. Symbols refer to groups of the cluster analysis in Figure 6.
Figure 8 in Assessment of morphometric characters to delimit species of Apolpium Chamberlin, 1930 (Pseudoscorpiones, Olpiidae)
Figure 8. Graphical projection of the NMDS. Groups defined in the cluster analysis (Figure 6) are indicated by colours and shapes. Ellipses indicate levels of significance to the 0.5 (inner ellipse) and 0.95 (outer ellipse) of each group. For ratio abbreviations see Table 2.
FIGURE 2 in VARSEDIG: an algorithm for morphometric characters selection and statistical validation in morphological taxonomy
FIGURE 2. Discriminant analysis performed on Moenkhausia dichroura and M. oligolepis using all morphometric variables. A longer arrow in the discriminant analysis means a higher contribution of the variable to discriminating the two species.
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.