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121 to 130 of 12,889 Results
Spanwise_ice_ridge.csv
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
Spanwise_ridge_Average.csv
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
Spanwise_ridge_StdDev.csv
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
Still_rotation.csv
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
Turbulator_Average.csv
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
Turbulator_StdDev.csv
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
Xfoil.csv
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
Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
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 Agglut...
00_README.txt
Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
Plain Text - 4.7 KB - MD5: 9192c827b76e670047c63b1239ef640e
test_images.zip
Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
ZIP Archive - 26.1 MB - MD5: ec1d0be919dc567eb61e31742d366f58
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