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569 results for “morphological comparison”
Figure 4 from: Wang P, Che J, Liu Q, Li K, Jin JQ, Jiang K, Shi L, Guo P (2020) A revised taxonomy of Asian snail-eating snakes Pareas (Squamata, Pareidae): evidence from morphological comparison and molecular phylogeny. ZooKeys 939: 45-64. https://doi.org/10.3897/zookeys.939.49309
Figure 4 Holotype of Pareas menglaensis sp. nov. (YBU 14124). General view(A); dorsal (B), ventral (C), lateral (D) and frontal (E) views of the head; dorsal (F) and ventral (G) views of the median body.
Figure 5 from: Wang P, Che J, Liu Q, Li K, Jin JQ, Jiang K, Shi L, Guo P (2020) A revised taxonomy of Asian snail-eating snakes Pareas (Squamata, Pareidae): evidence from morphological comparison and molecular phylogeny. ZooKeys 939: 45-64. https://doi.org/10.3897/zookeys.939.49309
Figure 5 Holotype of Pareas mengziensis sp. nov. (YBU 14252). Dorsal (A) and ventral (B) of general views; dorsal (C), ventral (D), and lateral (E) views of the head.
Data from: On the comparison of the strength of morphological integration across morphometric datasets
Evolutionary morphologists frequently wish to understand the extent to which organisms are integrated, and whether the strength of morphological integration among subsets of phenotypic variables differ among taxa or other groups. However, comparisons of the strength of integration across datasets are difficult, in part because the summary measures that characterize these patterns (RV and rPLS) are dependent both on sample size and on the number of variables. As a solution to this issue we propose a standardized test statistic (a z-score) for measuring the degree of morphological integration between sets of variables. The approach is based on a partial least squares analysis of trait covariation, and its permutation-based sampling distribution. Under the null hypothesis of a random association of variables, the method displays a constant expected value and confidence intervals for datasets of differing sample sizes and variable number, thereby providing a consistent measure of integration suitable for comparisons across datasets. A two-sample test is also proposed to statistically determine whether levels of integration differ between datasets, and an empirical example examining cranial shape integration in Mediterranean wall lizards illustrates its use. Some extensions of the procedure are also discussed.
FIGURE 1 in Revision of the Panurgus dargius Warncke, 1972 interpretation (Hymenoptera: Andrenidae), comparison with the morphologically close species
FIGURE 1. Bud shaped supraclypeal area observed in females of Panurgus maroccanus. Scale = 0.17mm.
FIGURE 7 in Description of a new Fridericia species (Oligochaeta: Enchytraeidae) and its molecular comparison with two morphologically similar species by PCRRFLP
FIGURE 7. The gel image TaqI of restriction digestion.
FIGURE 2 in Description of a new Fridericia species (Oligochaeta: Enchytraeidae) and its molecular comparison with two morphologically similar species by PCRRFLP
FIGURE 2. Fridericia crassiductata sp.n. A = oesophageal appendage, B = spermatheca.
FIGURE 9. The gel image Hin6I in Description of a new Fridericia species (Oligochaeta: Enchytraeidae) and its molecular comparison with two morphologically similar species by PCRRFLP
FIGURE 9. The gel image Hin6I of restriction digestion.
FIGURE 8 in Description of a new Fridericia species (Oligochaeta: Enchytraeidae) and its molecular comparison with two morphologically similar species by PCRRFLP
FIGURE 8. The gel image AluI of restriction digestion.
FIGURE 10. The gel image Csp6I in Description of a new Fridericia species (Oligochaeta: Enchytraeidae) and its molecular comparison with two morphologically similar species by PCRRFLP
FIGURE 10. The gel image Csp6I of restriction digestion.
FIGURE 1 in Morphological and morphometric comparisons of the first zoea of four species of purse crabs (Decapoda: Brachyura: Leucosiidae) from the Brazilian South Atlantic
FIGURE 1. Morphometric measurements adopted for each larva analyzed.
FIGURES 13–21. Male antennomere IV. 13–15 in Identification of three morphologically indistinguishable Epicauta species (Coleoptera, Meloidae, Epicautini) through DNA barcodes and morphological comparisons
FIGURES 13–21. Male antennomere IV. 13–15, Epicauta sibirica; 16–18, E. dubia; 19–21, E. chinensis.
FIGURES 22–29. Male elytra. 22–25 in Identification of three morphologically indistinguishable Epicauta species (Coleoptera, Meloidae, Epicautini) through DNA barcodes and morphological comparisons
FIGURES 22–29. Male elytra. 22–25, Epicauta dubia; 26–29, E. chinensis.
Fig. 1 in Larval Morphology ofYolaGozis, 1886 (Coleoptera: Dytiscidae: Bidessini) and Comparison with other Genera of the Tribe Bidessini
Fig. 1. Yola wraniki, instar III. Habitus, dorsal aspect. Scale bar = 0.60 mm.
Fig. 1 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Fig. 1. Dorsal habitus of Yaminia gmelini new species.
Fig. 1 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Fig. 1. Camerunadora bifasciata, new genus and species, dorsal habitus.
Figs. 3–4 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Figs. 3–4. Achia uniformis: habitus, male, Bolivia. 1) lateral view; 2) dorsal view.
Figs. 1–2 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Figs. 1–2. Achia urvilleae: habitus, male, Nova Teutônia, Brazil. 1) lateral view; 2) dorsal view.
Fig. 10 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Fig. 10. Distribution of Eschatomoxys in the USA.
Fig. 8 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Fig. 8. Genitalia of E. pholeter: A) aedeagus, B) ovipositor.
Fig. 9 in Figs. 30– 33. Attavicinus monstrosus. 30 in Comparison of Mouthpart Morphology of Three Species of Mexican Oniticellini (Coleoptera: Scarabaeidae: Scarabaeinae) in Relation to Their Trophic Habits
Fig. 9. Eschatomoxys pholeter feeding on dead free-tailed bat.
ScienceDex guides
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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)
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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.