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21 results for “splines”
Matrices for well-conditioned biorthogonal spline wavelet bases on the interval
<p>Refinement matrices for the wavelet bases described in Chapter 2 of the thesis "Adaptive tensor product wavelet methods for solving PDEs" (T.J. Dijkema, 2009).</p> <p>Each directory of this data set contains the following matrices (in Matrix Market format):</p> <ul> <li><strong>m</strong>-<em>j</em>: two-scale matrix on level <em>j</em> (thesis p.12)</li> <li><strong>mass</strong>-<em>j</em>: mass matrix on level <em>j</em></li> <li><strong>r</strong>-<em>j</em>, <strong>tr</strong>-<em>j</em>, <strong>trinit</strong>-<em>j</em>: transformation matrix R_<em>j</em>, \tilde{R}_<em>j</em>, \tilde{R}_<em>j</em>^{init} (thesis p.24-25)</li> </ul> <p>The directory names are {d}-{td}-{ml}-{mr}-{tml}-{tmr} where:</p> <ul> <li><strong>d</strong>: Jackson estimate on primal side</li> <li><strong>td</strong>: Jackson estimate on dual side</li> <li><strong>ml</strong> / <strong>mr</strong>: number of vanishing moments on left/right boundary, primal side</li> <li><strong>tml</strong> / <strong>tmr</strong>: number of vanishing moments on left/right boundary, dual side</li> </ul>
Sample FITS file with non-linear wavelength solution using a cubic spline model
<p>This file was wavelength calibrated using IRAF and written to a FITS file using a non-linear wavelength solution using a cubic spline model.</p> <p>This data is in its original shape.</p>
Sample FITS file with non-linear wavelength solution using a linear spline model
<p>This file was wavelength calibrated using IRAF and written to a FITS file using a non-linear wavelength solution using a linear spline model.</p> <p>This data is in its original shape.</p>
The role of fire in the carbon dynamics of the boreal forest I. - Response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach (2003-2100).
The boreal forest contains large reserves of carbon, and across this region wildfire is a common occurrence. To improve the understanding of how wildfire influences the carbon dynamics of this region, methods were developed to incorporate the spatial and temporal effects of fire into the Terrestrial ecosystem Model (TEM). The historical role of fire on carbon dynamics of the boreal region was evaluated within the context of ecosystem responses to changing atmospheric CO2 and climate. These results show that the role of historical fire on boreal carbon dynamics resulted in a net carbon sink; however, fire plays a major role in the interannual and decadal scale variation of source/sink relationships. To estimate the effects of future fire on boreal carbondynamics, spatially and temporally explicit empirical relationships between climate andfire were quantified. Fuel moisture, monthly severity rating, and air temperature explained a significant proportion of observed variability in annual area burned. These relationships were used to estimate annual area burned for future scenarios of climate change and were coupled to TEM to evaluate the role of future fire on the carbon dynamics of the North American boreal region for the 21st Century. Simulations with TEM indicate that boreal North America is a carbon sink in response to CO2 fertilization, climate variability, and fire, but an increase in fire leads to a decrease in the sink strength. While this study highlights the importance of fire on carbon dynamics in the boreal region, there are uncertainties in the effects of fire in TEM simulations. These uncertainties are associated with sparse fire data for northern Eurasia, uncertainty in estimating carbon consumption, and difficulty in verifying assumptions about the representation of fires that occurred prior to the start of the historical fire record. Future studies should incorporate the role of dynamic vegetation to more accurately represent post-fire successional pr
Fig. 4. A multinomial regression fit using natural splines with 3 in Fig. 1 in Positive association between PTN polymorphisms and schizophrenia in Northeast Chinese Han population.
Fig. 4. A multinomial regression fit using natural splines with 3 degrees of freedom. 95% confidence bands are constructed by bootstrapping. Records from years with asterisks (*) are excluded from the model. The dotted white lines correspond to a model with no dependence on year.
Glitch subtraction with adaptive spline -- Part 1
<p>This dataset contains the data used in the paper (<a href="https://arxiv.org/abs/2301.02398">arXiv:2301.02398</a>) on the estimation and subtraction of glitches in gravitational wave data using an adaptive spline fitting method called <a href="https://github.com/mohanty-sd/SHAPES.git">SHAPES </a>.</p> <p>Each .zip file corresponds to one of the glitches considered in the paper.<strong> </strong>The name of the class to which the glitch belongs (e.g., "Blip") is included in the name of the corresponding .zip file (e.g.,<strong> BLIP</strong>_SHAPESRun_20221229T125928.zip). When uncompressed, each .zip file expands to a folder containing the following.</p> <ul> <li>An HDF5 file containing the<strong> Whitened</strong> gravitational wave (GW) strain data in which the glitch appeared. The data has been whitened using a proprietary code. The original (unwhitened) strain data file is available from gwosc.org. The name of the original data file is the part preceding the token '__dtrndWhtnBndpss' in the name of the file.</li> <li>A JSON file containing information pertinent to the glitch that was analyzed (e.g., start and stop indices in the whitened data time series).</li> <li>A set of .mat files containing segmented estimates of the glitch as described in the paper. </li> </ul> <p>A MATLAB script, plotglitch.m, has been provided that plots, for a given glitch folder name, the data segment that was analyzed in the paper. Another script, plotshapesestimate.m, plots the estimated glitch. These scripts require the <a href="http://www.mathworks.com/matlabcentral/fileexchange/33381-jsonlab-a-toolbox-to-encode-decode-json-files">JSONLab</a> package.</p>
Data, code and supplementary plots for "A hierarchical spline model for correcting and hindcasting temperature data"
<p>Data, code and supplementary plots for the paper "A hierarchical spline model for correcting and hindcasting temperature data". Please see README.txt for detailed description of the files and relevant instructions.</p>
DLOFTBs - Deformable Linear Objects Tracking with B-splines - dataset
<p>A dataset associated with the paper "DLOFTBs - Fast Tracking of Deformable Linear Objects with B-splines".</p> <p>Contains 2D images and ROS bags with 3D videos of deformable linear objects manipulated by humans and robots.</p>
Input data of the mixed meshes used in: J. Grošelj, M. Kapl, M. Knez, T. Takacs, V. Vitrih, C1-smooth isogeometric spline functions of general degree over planar mixed meshes: The case of two quadratic mesh elements, Applied Mathematics and Computation 460 (2024) 128278; DOI: 10.1016/j.amc.2023.128278
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Dataset and Code for "Bayesian spline method for assessing extreme loads on wind turbines"
<p>Here are two files. One file contains the datasets and the other contains the computer code used to generate the results in the paper, Lee, Byon, Ntaimo, and Ding, 2013, “Bayesian spline method for assessing extreme loads on wind turbines,” <em> Annals of Applied Statistics</em>, Vol. 7, pp. 2034-2061.</p>
Data set for "Reconciling High-resolution Strain Rate of Continental China from GNSS Data with the Spherical Spline Interpolation"
<p>Data set for "Reconciling High-resolution Strain Rate of Continental China from GNSS Data with the Spherical Spline Interpolation". And This database contains GNSS velocity and strain rate field data for mainland China obtained by the spherical spline method. Also, we include the sub-graph data for each graph of the manuscript "Reconciling High-resolution Strain Rate of Continental China from GNSS Data with the Spherical Spline Interpolation". We have detailed the meaning and format of each data in the "readme.txt", and a separate "readme.txt" is included in each zip.</p>
DLOFTBs - Deformable Linear Objects Tracking with B-splines - videos
<p>Videos of the experiments described in the paper "DLOFTBs – Fast Tracking of Deformable Linear Objects with B-splines".</p> <p>Includes 2 videos:</p> <ul> <li>3d_real.mp4 - 3D tracking of real-life DLO</li> <li>3d_art.mp4 - 3D tracking of artificially generated DLO</li> </ul>
The data of the mesh used in: Pan M, Zou R, Jüttler B. Algorithms and Data Structures for Cs-smooth RMB-splines of Degree 2s+ 1. Computer Aided Geometric Design, 2024: 102389.
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Figure 3. Thin-plate spline using 16 in Tegmina-size variation in a Neotropical cricket with implications on spectral song properties
Figure 3. Thin-plate spline using 16 landmarks to depict left wing shape variation in Lerneca inalata beripocone along each PC axis. Red landmarks explain most of the tegmen shape variation.
Data set of ""Reconciling high-resolution strain rate of continental China from GNSS data with the spherical spline interpolation""
<p>Date data of ”Reconciling high-resolution strain rate of continental China from GNSS data with the spherical spline interpolation“</p> <p>"readme.txt" is the description of those zips. And Each zip also contains a "readme.txt", which is a description of the respective zip.</p>
Numerical data for Figures in Radio Science paper entitled "Flatness Error Compensation of Large Near-Field Scanning Frame Based on Cubic Spline Interpolation"
<p>Data format is EXCEL</p>
"SOME ISSUES OF IMPLEMENTATION OF PARALLEL ALGORITHMS BASED ON CUBIC BASED SPLINES ON MULTI-CORE PROCESSORS."
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Article Multivariate Adaptive Regression Splines enhances Genomic Prediction of non-additive traits
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A comprehensive model for separating systematic bias and noise in metabolomic timecourse data -- A nonlinear B-spline mixed effect approach
<p>Code for the analysis and validation of the systematic error correction model presented.</p>
Figure 10. Landmarks and the thin plate spline resulting from a in Morphometrics: History, development methods and prospects
Figure 10. Landmarks and the thin plate spline resulting from a comparison of D'Arcy Thompson's (1917) drawings of Argyroplecus (left) and Sternoptyx (right) after GLS Procrustes alignment of their landmark configurations. In this calculation Argyroplecus was designated as the reference configuration and Sternoptyx the target configuration. It is instructive to compare the calculated thin plate spline representation of this deformation with Thompson's conceptual transformation grid for these same images (see Fig. 4). The total bending energy (= anisotropic deformation) is calculated as the sum of bending energies specified by the reference-to-target deformation at each landmark location and represents a useful means of quantifying shape variation within the sample. For this comparison the total bending energy is 1.25.
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Allen Brain Atlas
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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.