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codaR_DPIA.pdf
Nov 26, 2024 - Investigating rhoticity in Scottish Standard English with sociolinguistic interviews and corpus data: Auditory ratings
Adobe PDF - 210.7 KB - MD5: 5fbb71f1357000b12459ea8f665468ea
Documentation
Brief assessment of the dataset's alignment with applicable legal and research-ethical regulations and guidelines.
System identification campaign - Skywalker X8 UAV
Nov 26, 2024 - NTNU – Norwegian University of Science and Technology
Løw-Hansen, Bogdan; Hann, Richard, 2024, "System identification campaign - Skywalker X8 UAV", https://doi.org/10.18710/U4TLYV, DataverseNO, V1
The data was collected by the NTNU UAV lab as part of the system identification campaign for the Skywalker X8 UAV in May of 2023 at Agdenes Airfield, Norway. The dataset includes 17 maneuvers, where each maneuver is approximately 10 seconds long. The maneuvers are split into a tr...
00_README.txt
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
Plain Text - 9.2 KB - MD5: 4bc6c339fe46ad2ecac8d2d17d5eaa19
lateral_121_1.csv
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
Comma Separated Values - 270.2 KB - MD5: d163a59d4da594f9c716990151159b3c
lateral_121_1.mat
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
MATLAB Data - 89.2 KB - MD5: 1e532239ae051ff2bc0cd6af8f3365b8
lateral_121_2.csv
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
Comma Separated Values - 264.3 KB - MD5: 091298ff063747e010298ea3e61451be
lateral_121_2.mat
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
MATLAB Data - 87.3 KB - MD5: be372ae6ec87bff6f3ac45db583cf31c
lateral_121_3.csv
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
Comma Separated Values - 263.6 KB - MD5: 92bdb4c97d16e05a0c0c4da868d72690
lateral_121_3.mat
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
MATLAB Data - 86.6 KB - MD5: 76dc1a9a73469c937773afa8a94f3da8
lateral_121_4.csv
Nov 26, 2024 - System identification campaign - Skywalker X8 UAV
Comma Separated Values - 262.8 KB - MD5: e9c734f9f7133d79fa568f6bc200d8f5
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