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Data for Patterns of ontogenetic evolution across extant marsupials reflect different allometric pathways to ecomorphological diversity
<p>Data associated with: Wilson LAB, López-Aguirre C, Archer M, Hand SJ, Flores D, Abdala F, Giannini NP. 2023. Patterns of ontogenetic evolution across extant marsupials reflect different allometric pathways to ecomorphological diversity. Nature Communications</p>
Patterns of convergence and bound constraint violation in Differential Evolution on SBOX-COST benchmarking suite
<p>The data sets contain information collected during runs of :</p> <ul> <li>DE/rand/1/bin (D=20, N=50, F=0.5, CR=0.5);</li> <li>L-SHADE(D=20, N_init = 18*D)</li> </ul> <p>on all 24 test functions from instances 1-5 and 101-110 from the SBOX-COST and BBOB test suites.</p> <ul> <li>For the <strong>analysis with fixed budget</strong>, the number of independent runs was 30 and the stopping condition NFE (number of function evaluations) was 5000*D.</li> <li>For the <strong>convergence analysis</strong>, 5 independent runs were used for instances 1-5 of the 24 test functions and there was a combined stopping condition consisting of NFE=10000*D, population size larger than 10, variance of the population greater than 10^(-15) and the difference between the global best optimum and known best greater than 10^(-8).</li> </ul> <p> </p> <p> </p>
Figure 5 in Evolution of axial patterning in elongate fishes
Figure 5. Number of abdominal and caudal vertebrae from our literature-based data set. Species were grouped into orders. Regression results are in Table 1, and a list of the species plotted is available in Supplementary Material: Table S1. The dotted line has a slope of one, indicating equal changes in abdominal and caudal vertebrae.
Figure 7 in Evolution of axial patterning in elongate fishes
Figure 7. Vertebral aspect ratio (AR) in the abdominal and caudal regions (AR = centrum length/centrum width). Solid lines are reduced major axis (RMA) regressions based on the raw data (the data points shown), and dashed lines are RMA regressions based on independent contrasts of abdominal and caudal aspect ratio. Regression statistics are given in Tables 4, 5.
Figure 3 in Evolution of axial patterning in elongate fishes
Figure 3. Intrarelationships of the seven groups included in our museum-based study. In the line drawings, the grey portion of each silhouette highlights the tail region of the body. A, Polypteriformes (Nelson, 1994); B, Osteoglossomorpha (Hilton, 2003); C, Elopomorpha (Belouze, 2002); D, Ostariophysi (Fink & Fink, 1981; Nelson, 1994); E, Paracanthopterygii (Patterson & Rosen, 1989; Endo, 2002); F, Beloniformes (Lovejoy, 2000); G, Scombroidei (Johnson & Baldwin, 1994).
Figure 2 in Evolution of axial patterning in elongate fishes
Figure 2. Models of axial patterning in fishes. A, vertebral number; B, vertebral aspect ratio (centrum length/centrum width). For an explanation of the models, see text.
Figure 1. Vertebrae from the Atlantic tarpon, Megalops atlanticus. A in Evolution of axial patterning in elongate fishes
Figure 1. Vertebrae from the Atlantic tarpon, Megalops atlanticus. A, anterior and lateral views of an abdominal vertebra with ribs; B, anterior and lateral views of a caudal vertebra with fused haemal arch.
Figure 4 in Evolution of axial patterning in elongate fishes
Figure 4. Contribution of increases in vertebral number and aspect ratio to overall body elongation. Elongation ratio (ER) is the standard length divided by the next largest body axis, either width or depth. The raw values plotted here were converted to independent contrast scores and a reduced major axis (RMA) regression, with the intercept forced through zero, was performed. A, total vertebral number vs. ER. Results from RMA regression on independent contrasts: y = 9.3x, R = 0.32, P = 0.02. B, vertebral aspect ratio (AR = centrum length/centrum width) vs. ER. Points represent the mean of abdominal and caudal ARs for each species. Results from RMA regression on independent contrasts: R = 0.18, P = 0.72. C, axial elongation index (AEI) vs. ER. AEI = (abdominal vertebral number)(abdominal AR) + (caudal vertebral number)(caudal AR). Results from RMA regression on independent contrasts: y = 10.0x, R = 0.46, P <0.001., Beloniformes;, Elopomorpha;, Ostariophysi;, Osteoglossomorpha;, Paracanthoptery-
Figure 9 in Evolution of axial patterning in elongate fishes
Figure 9. Squared-change parsimony traced phylogenies for abdominal aspect ratio and caudal aspect ratio. For each species, the mean of abdominal and caudal aspect ratio was calculated for this analysis. The interrelationships of the seven clades examined are based on Lauder & Liem (1983), and references for the intrarelationships are given in the legend to Fig. 3. Both traces are based on a squared-change parsimony algorithm in MacClade, version 4.06 (Maddison, 1991). Lighter coloured branches (white, yellow) are lower values of aspect ratio and darker branches (purple, black) are higher values of aspect ratio.
Figure 6 in Evolution of axial patterning in elongate fishes
Figure 6. Number of vertebrae in each of the two regions of the vertebral column, abdominal and caudal, for six clades in the museum-based study. Solid circles () represent the species means for number of abdominal vertebrae, and solid squares () represent the species means for number of caudal vertebrae. Solid regression lines are for abdominal vertebral number and dashed regression lines are for caudal vertebral number. The thick regression lines were calculated from the raw data points shown, and the thin regression lines are based on independent contrasts. Regression statistics are given in Tables 2, 3.
Figure 8 in Evolution of axial patterning in elongate fishes
Figure 8. Squared-change parsimony traced phylogenies for number of abdominal vertebrae and number of caudal vertebrae. The interrelationships of the seven clades examined are based on Lauder & Liem (1983), and references for the intrarelationships are given in the legend to Fig. 3. Both traces are based on a squared-change parsimony algorithm in MacClade, version 4.06 (Maddison, 1991). Lighter coloured branches (white, yellow) are lower vertebral numbers and darker branches (purple, black) are higher vertebral numbers. Electrophorus electricus was pseudocoloured in the number of caudal vertebrae to allow for greater resolution of the caudal vertebrae trace (see Material and methods). Two nodes are labelled A and B to allow their identification in the text.
Evolution of Post-Stroke Shoulder Pain With a Capsular Pattern With Physiotherapy Alone Versus Coupled With Mild Arthrographic Distension With Cortisone
ClinicalTrials.gov study NCT05845125. IPD Sharing: NO. Countries: 1. Publications: 17.
Data from: Integrating phylogenomic and population genomic patterns in avian lice provides a more complete picture of parasite evolution
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Data from: Inferring individual-level processes from population-level patterns in cultural evolution
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Data and script for: The patterns and modes of the evolution of disparity in Mesozoic Birds
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Data from: Sex-specific patterns of morphological diversification: evolution of reaction norms and static allometries in neriid flies
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Data from: Transcriptome-wide patterns of divergence during allopatric evolution
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Data from: Predators and patterns of within-host growth can mediate both among-host competition and the evolution of transmission potential of parasites
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Data from: Surf and Turf Vision: Patterns and predictors of visual acuity in compound eye evolution
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Joermungandr bolti, an exceptionally preserved microsaur from Mazon Creek, Illinois, reveals patterns of integumentary evolution in Recumbirostra
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.