Metrics
1,752,137 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

12,791 to 12,800 of 132,127 Results
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
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.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.