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Intrvwguide_2020_phys_EN.txt
Mar 2, 2022 - Student interviews on learning strategies and digitalization
Plain Text - 4.5 KB - MD5: f5e665314062767fa7f93a5bee4bc0e9
Intrvwguide_2020_phys_NO.txt
Mar 2, 2022 - Student interviews on learning strategies and digitalization
Plain Text - 4.8 KB - MD5: 7ec3681c92e54e9dfd8a87eececf91ca
01_ReadMeFile.txt
Mar 2, 2022 - TGO Ramfjordmoen Ionosonde Data February 2022
Plain Text - 2.1 KB - MD5: 669765b414f6fe3c0782dbcd9048573c
TGO_Ramfjordmoen_ionosonde_data_2022-02.PNG.zip
Mar 2, 2022 - TGO Ramfjordmoen Ionosonde Data February 2022
ZIP Archive - 39.6 MB - MD5: 2717bb632a5d7db55b7b3eb46d7fd17c
TGO_Ramfjordmoen_ionosonde_data_2022-02.SAO.zip
Mar 2, 2022 - TGO Ramfjordmoen Ionosonde Data February 2022
ZIP Archive - 7.9 MB - MD5: f195c5ed1a59000b377ac3e77d6c165f
00_README.txt
Feb 28, 2022 - Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study
Plain Text - 13.4 KB - MD5: 237f983d9a486fb738c85cc6f0b559ec
20200705_000005_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
Feb 28, 2022 - Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study
MATLAB Data - 349.9 MB - MD5: 6135659e9b0f4ef5f586d62fc08a5446
20200705_010004_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
Feb 28, 2022 - Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study
MATLAB Data - 349.9 MB - MD5: 5638b50f70d69da04ae550e973b050fe
20200705_020004_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
Feb 28, 2022 - Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study
MATLAB Data - 349.9 MB - MD5: 5dc7554efb3a349cc41fd30d9caab63d
20200705_030004_ch01050_to_ch18000_rsamp20ms_L300s_hourly_nogeom.mat
Feb 28, 2022 - Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study
MATLAB Data - 349.9 MB - MD5: e2796427b7049d9ab535c9a87c8a8d7b
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