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15 results for “Fractal Dimension”
data for "Could we achieve the on-line Measurements of the Optical Fractal Dimensions of Black Carbon?"
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Characterization of Pore Structure with Box Counting Fractal Dimension Based on Digital Rock
<p>This is a supplementary data set for a manuscript submitted to Journal of Geophysical Research: Solid Earth. This data set includes CT samples, process-based model, fractal dimensions calculated by the box counting algorithm, and Matlab codes to implement these modeling and fractal calculations.</p>
Dataset from the paper entitled "Linking Lattice Strain and Fractal Dimensions to Non-Monotonic Volume Changes in Irradiated Nuclear Graphite"
<p>Dataset from the paper entitled "Linking Lattice Strain and Fractal Dimensions to Non-Monotonic Volume Changes in Irradiated Nuclear Graphite". The dataset includes the small angle X-ray scattering measurements, the wide-angle X-ray scattering measurements, and the fitting parameters. Please see the included Readme file for more detail on the organization. </p>
Fractal Dimension Complexity of Gravitation Fractals in Central Place Theory
<p>The datasets used in our paper.</p> <p> </p> <p> </p>
Data from: Can fractal dimensions objectivize gastropod shell morphometrics? A case study from Lake Lugu (SW China)
<p>Morphometrics are fundamental for statistical analyses of fossils, particularly because soft parts or DNA are rarely preserved and thus hard parts such as shells are commonly the only source of information. Geometric morphometrics i.e. landmark analysis has been successfully established but exhibits a couple of shortcomings. On the one hand landmarking is rather subjective and on the other hand the application at the level of micro-sculpture is difficult.</p> <p>With the aid of high-resolution 3D scanning technology and analyses of fractal dimensions, we test whether shortcomings of linear and geometric morphometrics can be overcome. As a model group, we selected a clade of modern viviparid gastropods from Lake Lugu, the shells of which show a high degree of sculptural variation. Linear and landmark analyses were applied to the same shells, in order to root the fractal dimensions. The genetic diversity of the gastropod clade was basically assessed.</p> <p>The genetic results suggest that the gastropod clade represents a single species. The results of all morphometric methods applied are in line with the genetic results, which is that no clustering of morpho-types occurs. Apart from this overall agreement, landmark and fractal dimension analyses do not correspond with each other but represent data sets with different information. Generally, the fractal dimension values quantify the roughness of the shell surface, the resolution of the 3D-scans determining the level. In our approach, we captured the micro-sculpture but not the first-order sculptural elements, which explains that fractal dimension and landmark data are not in phase.</p> <p>We can show that analyzing fractal dimensions of gastropod shells opens a window to more detailed information that can be considered in evolutionary and ecological contexts. We propose that using 3D-scans with a low resolution may successfully substitute landmark analyses because it overcomes the subjective landmarking. Analyses of 3D-scans with higher resolution than used in this study will provide surface roughness information at the mineralogical level. We suggest that fractal dimension analyses of a combination of differently resolved 3D-models will significantly improve the quality of shell morphometrics.</p>
Data from: Can fractal dimensions objectivize gastropod shell morphometrics? A case study from Lake Lugu (SW China)
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Digital Cores and Fractal Dimensions
<p>This is a supplementary data sets for a manuscript submitted to JGR: Solid Earth entitled "A Fractal Reference Model Based on 3D Process-Based Digital Core for Evaluating the Complexity of Rock Pore Structure". This data sets present the digital core construction and fractal dimension calculation in detail, including process-based modeling program, CT digital core data, fractal dimension calculation program and analysis statistics worksheet.</p>
Figure 4 from: Musarella CM, Cano-Ortiz A, Pinar Fuentes JC, Navas-Urena J, Pinto Gomes CJ, Quinto-Canas R, Cano E, Spampinato G (2018) Similarity analysis between species of the genus Quercus L. (Fagaceae) in southern Italy based on the fractal dimension. PhytoKeys 113: 79-95. https://doi.org/10.3897/phytokeys.113.30330
Figure 4 Value of the medians for each homogeneous group. Fractal dimensions (mean values) of the studied species where Quercusilexsubsp.ilex and Quercussuber have an FD < 1.6 and the marcescent Quercus has a FD > 1.6.
Figure 2 from: Musarella CM, Cano-Ortiz A, Pinar Fuentes JC, Navas-Urena J, Pinto Gomes CJ, Quinto-Canas R, Cano E, Spampinato G (2018) Similarity analysis between species of the genus Quercus L. (Fagaceae) in southern Italy based on the fractal dimension. PhytoKeys 113: 79-95. https://doi.org/10.3897/phytokeys.113.30330
Figure 2 a RGB colour image b 8-bit greyscale image and c binary selection of an image of a Quercuscrenata leaf.
Data from: Improving the signal subtle feature extraction performance based on dual improved fractal box dimension eigenvectors
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Figure 5 from: Musarella CM, Cano-Ortiz A, Pinar Fuentes JC, Navas-Urena J, Pinto Gomes CJ, Quinto-Canas R, Cano E, Spampinato G (2018) Similarity analysis between species of the genus Quercus L. (Fagaceae) in southern Italy based on the fractal dimension. PhytoKeys 113: 79-95. https://doi.org/10.3897/phytokeys.113.30330
Figure 5 Multiple comparison analysis.
Figure 1 from: Musarella CM, Cano-Ortiz A, Pinar Fuentes JC, Navas-Urena J, Pinto Gomes CJ, Quinto-Canas R, Cano E, Spampinato G (2018) Similarity analysis between species of the genus Quercus L. (Fagaceae) in southern Italy based on the fractal dimension. PhytoKeys 113: 79-95. https://doi.org/10.3897/phytokeys.113.30330
Figure 1 The Koch curve.
Figure 3 from: Musarella CM, Cano-Ortiz A, Pinar Fuentes JC, Navas-Urena J, Pinto Gomes CJ, Quinto-Canas R, Cano E, Spampinato G (2018) Similarity analysis between species of the genus Quercus L. (Fagaceae) in southern Italy based on the fractal dimension. PhytoKeys 113: 79-95. https://doi.org/10.3897/phytokeys.113.30330
Figure 3 Regression line for the points (log(1/h), log(N(h)).
Evaluation of Architectural Changes in Mandibular Bone Pattern After Functional Treatment by Fractal Dimension Analysis
ClinicalTrials.gov study NCT04730115. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluating Radiomorphometric Indices and Fractal Dimension of the Pediatric Oncology Patients on Panoramic Images
ClinicalTrials.gov study NCT04213482. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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