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141 to 150 of 13,196 Results
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 Agglutinated foraminifera), B (Benthic Calcareous foraminifera), P (Planktic...
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
train_images.zip
Dec 2, 2024 - Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts
ZIP Archive - 102.3 MB - MD5: f7f426770785272364dde3c6e03a801f
codaR.csv
Nov 26, 2024 - Investigating rhoticity in Scottish Standard English with sociolinguistic interviews and corpus data: Auditory ratings
Comma Separated Values - 165.8 KB - MD5: ad007718d9fc47a43ed5ae9cab44b317
Data
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 training and a validation set. There was a strong north-west wind during...
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
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