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6,471 to 6,480 of 6,777 Results
Icing Validation Database
Sep 18, 2020
Hann, Richard; Müller, Nicolas, 2020, "Icing Validation Database", https://doi.org/10.18710/5XYALW, DataverseNO, V1, UNF:6:vncwD5HJ8OImcrUmCc90IQ== [fileUNF]
This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental dataset...
00_ReadMe.txt
Sep 18, 2020 - Icing Validation Database
Plain Text - 2.3 KB - MD5: 9ba9fe8258a685ff33b0ac60575ce341
01_Database.xlsx
Sep 18, 2020 - Icing Validation Database
MS Excel Spreadsheet - 35.0 KB - MD5: 1f7dd95d324fc9ca5b338bb7d4cbbfbd
02_Database.csv
Sep 18, 2020 - Icing Validation Database
Tabular Data - 34.9 KB - 14 Variables, 71 Observations - UNF:6:vncwD5HJ8OImcrUmCc90IQ==
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) - Pay...
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==
Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow
Aug 14, 2020
Strand, Andreas, 2020, "Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow", https://doi.org/10.18710/OWKABR, DataverseNO, V2
Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model. The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are s...
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