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12,521 to 12,530 of 12,879 Results
Adobe PDF - 851.9 KB - MD5: 7bd2a384dd1e2e7cbb847ee4f871473e
This file contains metadata about the dataset, explains the structure of the dataset and provides definitions for all tags used in annotation of the data.
Python Source Code - 537 B - MD5: 408c3936d28f18c7527217da15862fb2
This is a script that generates the combined yml out of the individual yml files (data.zip).
Unknown - 4.6 MB - MD5: 7bf3576d9e873d8c832e386954e0739f
This file is combined of over 2200 individual yml files and comprises the entire dataset.
ZIP Archive - 3.1 MB - MD5: 40676587aebbddf8204b126b13cc682b
This is a folder that contains over 2200 individual yml files. Together, they comprise the entire dataset.
Python Source Code - 988 B - MD5: ad15cb1f84075a842364acb3e278489e
This is a script that splits the data-combined.yml into individual yml files.
Jan 20, 2022 - University of Bergen
Zúñiga López, Héctor Daniel, 2022, "Replication Data for: The direct effect of medium energy electron precipitation on mesospheric dynamics during a sudden stratospheric warming event in 2010", https://doi.org/10.18710/9KSAQR, DataverseNO, V1
The data set contains 10 data files named WACCM6_*.nc, which contain array simulation data from WACCM6. It also contains one ReadMe text file and one ReadData python script to read the array data. The WACCM6_*.nc files contain five different variables: temperature (T), zonal wind...
Plain Text - 4.7 KB - MD5: 50fb504129e136bda9701b6f949c18aa
Further instructions on how to use the data
Python Source Code - 2.7 KB - MD5: 0ee8c42abeeccb4a45c3a302a257cd48
Example on how to load the data with python
Network Common Data Form - 1007.0 KB - MD5: e5d91180119e6b20409922e2048633e9
NO in the WACCM run with MEE.
Network Common Data Form - 1007.0 KB - MD5: efde25d68f918b35042b6a942929e461
O3 in the WACCM run with MEE.
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