Datasets

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subject: Matlab type: dataset

Total is 91 Results
32-digit values of the first 100 recurrence coefficients for the upper subrange Binet weight function on [c,Inf], c=1

10.4231/R7CZ35CV

Walter Gautschi ORCID logo

10/24/2017

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

Binet-like weight functions 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 symmetric subrange Binet weight function on [-c,c], c=1

10.4231/R7862DNF

Walter Gautschi ORCID logo

10/24/2017

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

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 ORCID logo , Yizhen Zhang , Zhongming Liu ORCID logo

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 ORCID logo

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 ORCID logo

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

Data of global wetland methane emissions from artificial neural network modeling v1.0

10.4231/3YX4-EY30

Licheng Liu ORCID logo , Qianlai Zhuang ORCID logo

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

INERFC: Evaluation of the Repeated Integrals of the Coerror Function by Half-Range Gauss-Hermite Quadrature

10.4231/R7SB43PZ

Walter Gautschi ORCID logo

04/23/2014

INERFC: Evaluation of the Repeated Integrals of the Coerror Function by Half-Range Gauss-Hermite Quadrature

Coerror Function Computer Science Mathematics Mathematics Education Matlab Quadrature and cubature formulas Walter Gautschi Archives

Automatic 4D flow MRI Segmentation Using the Standardized Difference of Means Velocity

10.4231/F75X-1N34

Bruce Craig ORCID logo , Jiacheng Zhang ORCID logo , Michael Markl , Neal Patel , Pavlos Vlachos ORCID logo , Sameer Ansari , Sean Michael Rothenberger ORCID logo , Susanne Schnell , Vitaliy Rayz

02/02/2023

We provide 4D flow MRI velocity measurements in two in vitro flow phantoms of a cerebral aneurysm. One phantom is unscaled (1-to-1), and the other is scaled by a factor of two in all dimensions (2-to-1).

angiography Biomedical Engineering hemodynamics Magnetic Resonance Velocimetry Matlab Phase Contrast Magnetic Resonance Imaging

Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models

10.4231/80RV-X686

Qianlai Zhuang ORCID logo , Seungbum Kim , Xuan Xi , Zhen Zhang

02/27/2023

This dataset contains the main codes and data for the methane emissions quantification from land and aquatic ecosystems in Western Siberia based on biogeochemical methane models.

ALBM EAPS Matlab Methane Emission TEM-MDM

mHealth hyperspectral learning for hemodynamics

10.4231/VAFP-DW68

Young L Kim ORCID logo

03/27/2023

A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning is capable of recovering full spectroscopic resolution

Biomedical Engineering hemodynamics Matlab mHealth spectral learning

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