Subject
- Computer Science 64
- Mathematics 64
- Biomedical Engineering 8
- Agriculture 3
- Mechanical Engineering 3
- Earth and Atmospheric Sciences 2
- Aeronautics and Astronautics Engineering 1
- Nuclear Engineering 1
- Physics 1
Creator
- Walter Gautschi, 0000-0001-9184-8899 64
- Pavlos Vlachos, 0000-0002-8040-9257 7
- Michael Markl 5
- Susanne Schnell 5
- Vitaliy Rayz 5
- Benjamin Dickerhoff 4
- David Saloner 4
- Melissa Brindise 4
- Qianlai Zhuang, 0000-0002-4536-9851 4
- Sean Rothenberger, 0000-0003-1341-6147 4
Type
- Dataset 91
Date
Total is 91 Results
In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - CFD
10.4231/5RW6-4Z50
Benjamin Dickerhoff
,
David Saloner
,
Melissa Brindise
,
Michael Markl
,
Pavlos Vlachos
,
Sean Rothenberger
,
Susanne Schnell
,
Vitaliy Rayz
11/01/2019
In silico CFD dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box
In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - STB
10.4231/FNF9-E631
Benjamin Dickerhoff
,
David Saloner
,
Melissa Brindise
,
Michael Markl
,
Pavlos Vlachos
,
Sean Rothenberger
,
Susanne Schnell
,
Vitaliy Rayz
11/01/2019
In vitro STB dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box
Data of global wetland methane emissions from artificial neural network modeling v1.0
10.4231/3YX4-EY30
01/21/2020
Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...
Artificial Neural Network (ANN) Atmospheric Chemistry Modeling Biogeochemistry Earth and Atmospheric Sciences Interactive Data Language (IDL) Machine Learning Matlab Methane Dynamics Model (MDM) Methane Emission
32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=x/(e^x-1) computed by the SOPQ routine sr_boseeinstein(100,1,32)
10.4231/R7H12ZX3
04/22/2014
32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=x/(e^x-1) computed by the SOPQ routine sr_boseeinstein(100,1,32)
Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Quadrature and cubature formulas Walter Gautschi Archives
32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 computed by the SOPQ routine sr_boseeinstein(100,2,32)
10.4231/R77H1GGF
04/22/2014
32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 computed by the SOPQ routine sr_boseeinstein(100,2,32)
Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives
32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 computed by the SOPQ routine sr_boseeinstein(100,3,32)
10.4231/R73R0QRQ
04/22/2014
32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 computed by the routine sr_boseeinstein(100,3,32)
Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives
32-digit values of the first 100 recurrence coefficients using the Bose-Einstein weight function: w(x)=[x/(e^x-1)]^4 computed by the SOPQ routine sr_boseeinstein(100,4,32)
10.4231/R7000013
04/22/2014
32-digit values of the first 100 recurrence coefficients for orthogonal polynomials using the Bose-Einstein weight function: w(x)=[x/(e^x-1)]^4 computed by the SOPQ routine sr_boseeinstein(100,4,32)
Bose-Einstein distribution Computer Science Equation Table Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives
32-digit values of the first 100 recurrence coefficients relative to the Fermi-Dirac weight function w(x)=1/(e^x+1) computed by the SOPQ routine sr_fermidirac(100,1,32)
10.4231/R7C82765
04/24/2014
32-digit values of the first 100 recurrence coefficients relative to the Fermi-Dirac weight function w(x)=1/(e^x+1) computed by the SOPQ routine sr_fermidirac(100,1,32)
Computer Science Equation Table Fermi Dirac weight Function Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives
32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^{10}) computed on R by the SOPQ routine sr_freud(100,0,10,32)
10.4231/R7F769GC
04/22/2014
32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^10}) computed on R by the SOPQ routine sr_freud(100,0,10,32)
Computer Science Equation Table Freud polynomials Freud weight function Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives
32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^4) computed on R by the SOPQ routine sr_freud(100,0,4,32)
10.4231/R7PN93HS
04/22/2014
32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^4) computed on R by the SOPQ routine sr_freud(100,0,4,32)
Computer Science Equation Table Freud polynomials Freud weight function Gaussian quadrature Mathematics Matlab OPQ routine Orthogonal polynomials Walter Gautschi Archives
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