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1,501 to 1,510 of 2,228 Results
Oct 12, 2021 - Chi-infect5_3species.R
R Syntax - 2.6 KB - MD5: 205f1cf8a145fd650256bbe1dd1f2078
Chi-infect5_3species.R
Oct 12, 2021
Oredalen Tone Jøran, 2021, "NOR_prevalence_spring.txt", https://doi.org/10.23642/USN.16782496, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Infection from T. bryosalmonae in three salmonid species sampled in five deep Norwegian lakes in 2018/2019. Data file for Lake Norsjø input to chi -square test of differences in prevalence during spring in the R.script: Chi-infect5_3species
Plain Text - 68 B - MD5: ba3ecbf1dac772680b52437e72c8b708
NOR_prevalence_spring.txt
Aug 17, 2021
Henriksen Mathias; Bjerketvedt Dag, 2021, "mech2Foam - Generating transport, combustion, and thermodynamic properties for the CFD solver XiFoam", https://doi.org/10.23642/USN.13721134, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: mech2Foam is a Python code for generating gas mixture specific input parameters needed for XiFoam simulations. For the thermopysical properties, the code generates NASA polynomial coefficients (Cp, H, S) and sutherland coefficients for dynamic gas viscosity. The laminar burning velocity are modeled by the Gülder equa...
Python Source Code - 3.8 KB - MD5: b5108477bfa931064d42b6ef3c4305ee
auxiliaryFunctions.py
Python Source Code - 5.8 KB - MD5: 681045be09976ec33b6fb29424596377
calculateGulderCoefficients.py
Python Source Code - 9.3 KB - MD5: 189f62f745cd459fcc76e7cd971978d4
calculateThermoProperties.py
Python Source Code - 13.9 KB - MD5: 3c6fdce285f04df52acb035e699a6a12
mech2Foam.py
Adobe PDF - 365.5 KB - MD5: dba40449b167c75e115de9fba18a3825
mech2Foam support document.pdf
Plain Text - 1.3 KB - MD5: f0fe9adac07eed1283ef6c7c597663c4
ReadMe.txt
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