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2,941 to 2,950 of 8,623 Results
00_ReadMe.txt
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
Plain Text - 3.0 KB - MD5: 0d49b71b438d164c8b0bf03d0368b61f
01_z0 estimates PNG.zip
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
ZIP Archive - 3.2 MB - MD5: 503c89370f1ac270b84b99c0011c7585
02_z0 estimates mat.zip
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
ZIP Archive - 498.6 KB - MD5: 099be74fa7dadad20fa8ea9cad0b36f0
03_DEMs.zip
Oct 20, 2021 - Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping in Svalbard
ZIP Archive - 1.1 GB - MD5: c76588d0d85350579d53aa5f3b02ba1b
The input digital elevation models that were generated from drone images as .mat Matlab files.
UAV Database
Sep 18, 2020
Hann, Richard; Wallisch, Joachim, 2020, "UAV Database", https://doi.org/10.18710/L41IGQ, DataverseNO, V1, UNF:6:r7YXQcmxDqYG14LWVGZA+w== [fileUNF]
This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW) - Payload - Wingspan - Lenght - Cruise speed - Maximum speed - Stall speed...
00_ReadMe.txt
Sep 18, 2020 - UAV Database
Plain Text - 2.7 KB - MD5: 4f0c82ff2951453543cd9a0226b8b5e1
01_Database.xlsx
Sep 18, 2020 - UAV Database
Tabular Data - 12.7 KB - 22 Variables, 93 Observations - UNF:6:D2gUcj7RaOXyyKnXBBEfAw==
02_Database.csv
Sep 18, 2020 - UAV Database
Tabular Data - 12.5 KB - 22 Variables, 93 Observations - UNF:6:Vuz+r6CeVRy7wxeiwPlYOA==
03_References.csv
Sep 18, 2020 - UAV Database
Tabular Data - 22.4 KB - 2 Variables, 158 Observations - UNF:6:7gIPQYsuoeLgkpY8bD8dBw==
Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)
Jun 11, 2021
Lorås, Madeleine, 2021, "Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 4 and 5)", https://doi.org/10.18710/YLVIAN, DataverseNO, V1, UNF:6:A+tfknl6t6QwncMiq/fGmQ== [fileUNF]
Important learning happens outside organized lectures and labs, but much of the interaction between these educational design constructs and the study behavior of computing students is unknown. This data is part of a PhD project and relates to Studies 4 and 5. In these studies we follow a group of computing students through their year semester in or...
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