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609 results for “Morphometric analysis”
Fig. 3 in Taxonomic implications of morphometric analysis of earless seal limb bones
Fig. 3. Results of PCA for the humerus measurement data, including extant and fossil earless seal taxa. A. PC1 vs. PC2. B. PC3 vs. PC4.
Fig. 1 in Taxonomic implications of morphometric analysis of earless seal limb bones
Fig. 1. Measurements of the earless seal humerus (A) and femur (B) used in morphometric analysis exemplified by Erignathus barbatus (USNM 16116). In anterior (A1, B2), posterior (A2, B1), medial (A3), and proximal (A4) views. Abbreviations: DCF, distance between condyles; DDDC, diameter of diaphysis at deltopectoral crest; DN, diameter of the neck of the femur; GAP, distance between head of humerus and deltopectoral crest; HHF, height of the head of the femur; HHH, height of head of humerus; HPS, height of the patellar surface; HTL, height of capitulum; HTS, height of trochlea; ITW, intertrochlear width of the femur; LDC, length of deltopectoral crest; LGTF, length of the greater trochanter; LLF, length of the lateral side of the femur; LLCF, length of the lateral condyle; LMCF, length of the medial condyle; MLF, length of the femur on the medial side; PIT, depth of coronoid fossa; SUP, length of supinator ridge; TLH, total length of humerus; WCF, width across condyles; WDC, width of deltopectoral crest; WDEF, maximum width of distal diaphysis; WDEH, maximum width of distal epiphysis; WDF, minimum width of diaphysis; WDH, minimum width of diaphysis; WHH, width of humeral head; WLCF, width of lateral condyle; WMCF, width of medial condyle; WPDH, width of proximal epiphysis, humeral head to lesser tubercle; WPEF, maximum width of proximal diaphysis; WTA, width of trochlea in anterior view; WTD, width of trochlea and capitulum in posterior view.
Fig. 2 in Taxonomic implications of morphometric analysis of earless seal limb bones
Fig. 2. Results of PCA for the combined dataset of both humeral and femoral measurement data, for extant earless seal taxa. A. PC1 vs. PC2. B. PC3 vs. PC4.
Fig. 7 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 7. RW1/RW2 plot showing the neat separation of Krithe compressa from Krithe iniqua specimens. Deformation grids along RW1 (set at values of –0.2 and 0.2) are reported. A. Plot of RW1 against RW2 scores. B, C. Shell deformation at extreme values along RW1.
Fig. 4 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 4. Main morphological features of studied ostracods species. A. Krithe iniqua Abate, Barra, Aiello, and Bonaduce, 1993, right valve, transparence drawing from external view, sample 59, B.O.C. 2518, upper Pliocene, KI−29, sample 59. B. Krithe compressa (Seguenza, 1880), right valve, transparence drawing from external view, KC−29, sample 58, B.O.C. 2547, upper Pliocene.
Fig. 2 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 2. Krithe iniqua Abate, Barra, Aiello, and Bonaduce, 1993, right valves; transparence drawings from external view; sample 59; upper Pliocene. A. KI−01, B.O.C. 2490. B. KI−02, B.O.C. 2491. C. KI−03, B.O.C. 2492. D. KI−04, B.O.C. 2493. E. KI−05, B.O.C. 2494. F. KI−06, B.O.C. 2495. G. KI−07, B.O.C. 2496. H. KI−08, B.O.C. 2497. I. KI−09, B.O.C. 2498. J. KI−10, B.O.C. 2499. K. KI−11, B.O.C. 2500. I. KI−12, B.O.C. 2501. L. KI−13, B.O.C. 2502. M. KI−14, B.O.C. 2503. N. KI−15, B.O.C. 2504. O. KI−16, B.O.C. 2505. P. KI−17, B.O.C. 2506. Q. KI−18, B.O.C. 2507. R. KI−19, B.O.C. 2508. S. KI−20, B.O.C. 2509. T. KI−21, B.O.C. 2510. U. KI−22, B.O.C. 2511. V. KI−23, B.O.C. 2512. W. KI−24, B.O.C. 2513. Y. KI−25, B.O.C. 2514. Z. KI−26, B.O.C. 2515. AA. KI−27, B.O.C. 2516. BB. KI−28, B.O.C. 2517.
Fig. 9 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 9. Continuous shape variation in Krithe compressa valves drawn along RW 2. Deformation grids relate to specimen of the three different samples belonging to Krithe compressa from the highest (A) to the lowest (C) RW 2 scores (see Fig. 7). Deformation grid in B refers to undeformed shape. From the above, a valve from sample 58 (specimen KC 25), a specimen from sample 51 (KC 16), and a specimen from sample 50 (KC 1).
Fig. 5 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 5. The logarithm of number of pairs C of points with mutual distance smaller than R (̊m), as a function of log(R). Vertical dashed lines are the limits inside which the linear slope of log(C) on log(R) provides the best fitting to the data.
Fig. 1. A in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 1. A. Ideal uniform network of 225 points spaced 2 mm apart over an area of 30 × 30 mm2. B. The log of number of pairs C of the stations, with mutual distance smaller than R, as a function of log(R) (mm); the vertical dashed lines represent the lower (4 mm) and upper (16 mm) limits of R, inside which the linear slope provides the best fitting to the investigated co−ordinates.
Fig. 8 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 8. This plot is the same as in Fig. 7, except for marks have been appended according to sample of provenance instead of species.
Fig. 3 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 3. Krithe compressa (Seguenza, 1880), right valves; transparence drawings from external view; sample 50 (A–G), sample 51 (H–R), sample 58 (S–BB); upper Pliocene. A. KC−01, B.O.C. 2519. B. KC−02, B.O.C. 2520. C. KC−03, B.O.C. 2521. D. KC−04, B.O.C. 2522.E. KC−05, B.O.C. 2523. F. KC−06, B.O.C. 2524. G. KC−07, B.O.C. 2525. H. KC−08, B.O.C. 2526. I. KC−09, B.O.C. 2527. J. KC−10, B.O.C. 2528. K. KC−11, B.O.C. 2529. L. KC−12, B.O.C. 2530. M. KC−13, B.O.C. 2531. N. KC−14, B.O.C. 2532. O. KC−15, B.O.C. 2533. P. KC−16, B.O.C. 2534. Q. KC−17, B.O.C. 2535. R. KC−18, B.O.C. 2536. S. KC−19, B.O.C. 2537. T. KC−20, B.O.C. 2538. U. KC−21, B.O.C. 2539. V. KC−22, B.O.C. 2540. W. KC−23, B.O.C. 2541. X. KC−24, B.O.C. 2542. Y. KC−25, B.O.C. 2543. Z. KC−26, B.O.C. 2544. AA. KC−27, B.O.C. 2545. BB. KC−28, B.O.C. 2546.
Fig. 6 in Morphometric Analysis Of Trianchoratus Price & Berry, 1966 (Monogenea: Heteronchocleidinae) From Channa Spp. (Osteichthyes: Channidae) Of Peninsular Malaysia
Fig. 6. PCA plot of Trianchoratus malayensis, with geographical origin of data indicated. The horizontal and vertical barplots indicate one-dimensional summary of the PC axes.
Fig. 3 in Morphometric Analysis Of Trianchoratus Price & Berry, 1966 (Monogenea: Heteronchocleidinae) From Channa Spp. (Osteichthyes: Channidae) Of Peninsular Malaysia
Fig. 3. Biplot of the first two principal components for the four species of Trianchoratus, with mean coordinates of the species indicated. Only vectors (IL1, OL1, IR1, OR1 and pt1) from one ventral anchor are shown.
Fig. 1. A in Morphometric Analysis Of Trianchoratus Price & Berry, 1966 (Monogenea: Heteronchocleidinae) From Channa Spp. (Osteichthyes: Channidae) Of Peninsular Malaysia
Fig. 1. A well-developed anchor of Trianchoratus species showing the basic measurements taken for morphometric analysis.
Fig. 4 in Morphometric Analysis Of Trianchoratus Price & Berry, 1966 (Monogenea: Heteronchocleidinae) From Channa Spp. (Osteichthyes: Channidae) Of Peninsular Malaysia
Fig. 4. Chernoff faces: graphical summary of the mean of each of the 15 variables in the four Trianchoratus species represented as different facial features.
Fig. 5 in Morphometric Analysis Of Trianchoratus Price & Berry, 1966 (Monogenea: Heteronchocleidinae) From Channa Spp. (Osteichthyes: Channidae) Of Peninsular Malaysia
Fig. 5. Fisher's linear discriminant analysis plots of the first three LD functions, which account for 65%, 21% and 14% of the total variation, respectively. Indicators: Trianchoratus malayensis (-); T. pahangensis (+); T. ophicephali (o); T. longianchoratus (l).
Fig. 8 in Morphometric Analysis Of Trianchoratus Price & Berry, 1966 (Monogenea: Heteronchocleidinae) From Channa Spp. (Osteichthyes: Channidae) Of Peninsular Malaysia
Fig. 8. PCA plot of Trianchoratus ophicephali with geographical origin of data indicated. The horizontal and vertical barplots indicate one-dimensional summary of the PC axes.
Figure 2 in Geometric morphometric analysis of Eysarcoris guttiger, E. annamita and E. ventralis (Hemiptera: Pentatomidae)
Figure 2. Boxplot of the centroid sizes of the four Eysarcoris species. A. Fore wing. B. Hind wing. C. Pygophore.
Figure 3 in Further geometric morphometric analysis on the genus Eysarcoris (Hemiptera: Pentatomidae) from China
Figure 3. Canonical variate analysis (CVA) based on the shape variables of different characters showing 90% confidence ellipses of population means. A. Forewing, B. Hindwing. C. Pygophore. D. Head. E. Pronotum. F. Scutellum.
Figure 2 in Further geometric morphometric analysis on the genus Eysarcoris (Hemiptera: Pentatomidae) from China
Figure 2. Comparisons of CS variables among species of Eysarcoris. A. Forewing, B. Hindwing. C. Pygophore. D. Head. E. Pronotum. F. Scutellum.
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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.