121 to 130 of 12,887 Results
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 293 B -
MD5: 6c861a3237cdb8e57a70adcd92e01839
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 293 B -
MD5: 7ebdfc2c60ff6e47719bb35d1a4db4b7
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 293 B -
MD5: 6e8b812c1c380590d9a0998b1d44e479
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 1.6 KB -
MD5: 617bcb3d21128c50b8e39ea17af036a1
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 1.0 KB -
MD5: fd9222a87e43aedfeaf773a454007c30
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 869 B -
MD5: 4572e6e49118b3e16414621338ca4e74
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 1.6 KB -
MD5: 70fb0b637a6097ca06625818e77f6a66
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 1.0 KB -
MD5: 081548ddc0df54eaba887ef6e7d5baa1
|
Dec 2, 2024 -
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
Comma Separated Values - 331 B -
MD5: 796ed28ac72db6c170545b975aa3f2dd
|
Dec 2, 2024 - UiT The Arctic University of Norway
Martinsen, Iver; Sørensen, Steffen Aagaard; Ortega, Samuel; Godtliebsen, Fred; Tejedor, Miguel; Myrvoll-Nilsen, Eirik, 2024, "Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts", https://doi.org/10.18710/QGBZZK, DataverseNO, V1
This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets contains four subfolders for each of the four classes in the dataset. The four classes are: A (Benthic Agglutinated foraminifera), B (Benthic Calcareous foraminifera), P (Planktic... |
