PURR Registry

Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.

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

Licheng Liu , Qianlai Zhuang

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

Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

10.4231/R7N58JJ3

Haiguang Wen , Jiayue Cao , Junxing Shi , Kun-Han Lu , Yizhen Zhang , Zhongming Liu

11/17/2017

This document includes the main source code (Matlab or Python) related to our study.

Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code

32-digit values of the first 100 recurrence coefficients for the lower symmetric subrange Binet weight function on [-c,c], c=1

10.4231/R7KP80BB

Walter Gautschi

01/10/2018

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-|x|)) on [-c,c], c=1

Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

32-digit values of the first 100 recurrence coefficients for the lower subrange Binet weight function on [0,c], c=1

10.4231/R7QF8R2P

Walter Gautschi

01/10/2018

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [0,c], c=1

Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

n-TARP Binary Clustering Code

10.4231/R74B2ZJV

Mireille Boutin , Yellamraju Tarun

05/07/2018

Binary clustering algorithm based on random projections

Clustering Electrical and Computer Engineering Matlab Random Projection

A Rainfall-based, Sequential Depression-filling Algorithm and Applications on a Watershed in Northeastern Indiana, USA

10.4231/S2B6-J628

Dennis Buckmaster , Samuel Adam Noel

10/30/2020

Contents include script files for a sequential depression-filling algorithm developed in Matlab as well as elevation datasets used in a manuscript publication.

Agricultural and Biological Engineering Elevation Matlab Watershed

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

Walter Gautschi

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

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