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6,701 to 6,710 of 11,652 Results

mainEuvar.jl Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D» Unknown - 19.2 KB - MD5: be2e2f29bab8bf1650c7121a0919feca Contains the main «E3Dvar» function which calculates all article plots.
ppvar_kovar.jl Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D» Unknown - 33.0 KB - MD5: 42b802b925ef6b6c4a044e51535ab2f1 Finds measurement uncertainties of a ISR: in the ACF and plasmaparameters.
praktisk.jl Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D» Unknown - 3.2 KB - MD5: f2cc5c0873b0cec38b8b9776754e7f85 Contains some practic functions. From these, only vnorm2 (calculates vector norms) and diagstack (stacks matrices along the diagonal) are used.
radarl.jl Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D» Unknown - 6.1 KB - MD5: e351ca7fd75d98c5f3ced26101c4e149 Calculates signal and noise power of an ISR experiment
uvind2.txt Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D» Plain Text - 278 B - MD5: 902af0d95968a6d2316e4afd4c97bdfb Example of an neutral wind profile. Based on the Joule II data as shown in Sangalli (2009)
Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter Nov 29, 2022 Tveit, Alexander, 2022, "Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter", https://doi.org/10.18710/Z1QF8W, DataverseNO, V1 This dataset contains non-normalized transcriptional data, data for global mapping of 16S rRNA gene sequences belonging to the genus Methylobacter, using the Earth microbiome project data, and scripts for analyzing these and other supplementary data (physiological data) for the publication: "Thermal acclimation of methanotrophs from the genus Methy...
00_ReadMe.txt Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter Plain Text - 15.3 KB - MD5: 777521271b85f5edfdd951579de9a547 Readme file for Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter
01_Methylob_genus_map_n_analyses.R Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter R Syntax - 44.9 KB - MD5: 60d5be752568b866aa8b1d217298cbb9 Script for performing mapping analysis with EMP database
02_DESeq_script.R Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter R Syntax - 3.4 KB - MD5: 2890e22f8f64fc8b7772b8d351faa094 Script for R analysis of transcriptome data from Methylobacter tundripaludum SV96
03_Kinetics_script.r Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter R Syntax - 8.8 KB - MD5: 85fd3fc0b56078e475a535b64074b0e6 Script for analyzing kinetics data from Methylobacter strains

mainEuvar.jl

Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»

Unknown - 19.2 KB -

Contains the main «E3Dvar» function which calculates all article plots.

ppvar_kovar.jl

Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»

Unknown - 33.0 KB -

Finds measurement uncertainties of a ISR: in the ACF and plasmaparameters.

praktisk.jl

Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»

Unknown - 3.2 KB -

Contains some practic functions. From these, only vnorm2 (calculates vector norms) and diagstack (stacks matrices along the diagonal) are used.

radarl.jl

Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»

Unknown - 6.1 KB -

Calculates signal and noise power of an ISR experiment

uvind2.txt

Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»

Plain Text - 278 B -

Example of an neutral wind profile. Based on the Joule II data as shown in Sangalli (2009)

Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter

Nov 29, 2022

Tveit, Alexander, 2022, "Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter", https://doi.org/10.18710/Z1QF8W, DataverseNO, V1

This dataset contains non-normalized transcriptional data, data for global mapping of 16S rRNA gene sequences belonging to the genus Methylobacter, using the Earth microbiome project data, and scripts for analyzing these and other supplementary data (physiological data) for the publication: "Thermal acclimation of methanotrophs from the genus Methy...

00_ReadMe.txt

Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter

Plain Text - 15.3 KB -

Readme file for Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter

01_Methylob_genus_map_n_analyses.R

Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter

R Syntax - 44.9 KB -

Script for performing mapping analysis with EMP database

02_DESeq_script.R

Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter

R Syntax - 3.4 KB -

Script for R analysis of transcriptome data from Methylobacter tundripaludum SV96

03_Kinetics_script.r

Nov 29, 2022 - Supporting data for: Thermal acclimation of methanotrophs from the genus Methylobacter

R Syntax - 8.8 KB -

Script for analyzing kinetics data from Methylobacter strains

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