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5,981 to 5,990 of 11,415 Results
00_ReadMe_SiliconNutrients.v1.txt
Oct 21, 2021 - Replication Data for: Forage quality in tundra grasslands under herbivory: Silicon-based defences, nutrients, and their ratios in grasses
Plain Text - 6.2 KB - MD5: cb80d14f0b433b40a4234ea06a87efd2
README file to interpret the data file SiliconNutrients._dataset.v1
SiliconNutrients._dataset.v1.txt
Oct 21, 2021 - Replication Data for: Forage quality in tundra grasslands under herbivory: Silicon-based defences, nutrients, and their ratios in grasses
Plain Text - 112.7 KB - MD5: b9e9c02c7d4c13b53b7424adea6b1a48
Data file supporting the study Petit Bon et al., 2021 (https://doi.org/10.1111/1365-2745.13790)
Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Oct 11, 2021
Stamm, Johann; Vierinen, Juha, 2021, "Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»", https://doi.org/10.18710/WPJH8O, DataverseNO, V2
Programming code for article «Observing electrical fields and neutral winds with EISCAT 3D» Measurements of height dependent electric field (E) and neutral wind (u) are important governing parameters of the Earth’s upper atmosphere, which can be used to study e.g., how auroral currents close, or how energy flows between the ionized and neutral cons...
invuE.jl
Oct 11, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Unknown - 25.6 KB - MD5: 130551f5d797b22a6e41dfe7475ef800
Functions for creating the theory matrix to find electrical field and neutral wind from ion velocity measurements and their uncertainty.
00_readme.txt
Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Plain Text - 6.6 KB - MD5: 4222916114b747343607e2d6cabc4608
The readme file
beregn_kvektorer.jl
Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Unknown - 4.6 KB - MD5: e62e590c22c62a6493a15b1048f52462
Calculates Bragg-scattering vectors for a multistatic ISR. Also contains the used positions of E3D.
coord.py
Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Python Source Code - 7.1 KB - MD5: 7efc76568f7253decfe5f7681e61e739
Among others, the functions calculate position of radar beams
Efelt2.txt
Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Plain Text - 251 B - MD5: d0544bad8016c5e83fc3649abbc45cb6
Example of an electric field profile. Based on the Joule II data as shown in Sangalli (2009)
Efelt.txt
Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Plain Text - 272 B - MD5: 7bcceeeca6dcf5cca2fe7d201f9cc4a2
Example of an electric field profile. Based on the Rose F4 data as shown in Rinnert (1992)
ionocalc.jl
Oct 7, 2021 - Replication Data for: «Observing electrical fields and neutral winds with EISCAT 3D»
Unknown - 12.5 KB - MD5: cfa78f84de661e9adde9d4f1236d7f81
Functions for calculating ionospheric properties, among others Debye length, conversion to geomagnetic coordinates.
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