University of Agder

SFI Offshore Mechatronics

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.

31 to 40 of 406 Results

00_ReadMe.md Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Markdown Text - 5.8 KB - MD5: 1100ca3456432e3de7660367408bf319 Description of the dataset.
00_ReadMe.txt Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Plain Text - 6.5 KB - MD5: e5cab828e3e375849aec71ffd9f6c8a6 Description of the dataset.
main.py Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Python Source Code - 14.2 KB - MD5: d69365b0d4241ba0018aae90f31927d5 Main script file
model.py Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Python Source Code - 4.0 KB - MD5: a3d78306f675376e4895213660a14255 Model configuration
preprocess_data.py Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Python Source Code - 5.2 KB - MD5: e006c550ef9aee497f120f172918073f Data preprocessing
PyTools.py Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Python Source Code - 3.0 KB - MD5: bf4e23a1c30e805ca2d7d0be1c6a98a1 Helper tools
Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets Jan 6, 2026 Feodor Svetlanov Konomaev; Mithuss Tharmalingam; Kjetil M. D. Hals, 2025, "Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets", https://doi.org/10.18710/CN2VGX, DataverseNO, V2 Replication Data for the article "Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets" submitted in Physical Review B (2025). The file ‘Fig2.txt’ contains the energy of the three spin-wave bands of the kagome antiferromagnet when it is in the (+)- and (-)-chiral state as a function of the momentum along the x- and y-directions, whi...
01_README.txt Jan 6, 2026 - Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets Plain Text - 4.0 KB - MD5: 42b31aefa61f60e8884c48f5c0188f41 Description of the dataset.
Fig2.txt Jan 6, 2026 - Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets Plain Text - 119.6 KB - MD5: dd350a7493ec7b1e9ef46ec96b525ac3 The file ‘Fig2.txt’ contains the energy of the three spin-wave bands of the kagome antiferromagnet when it is in the (+)- and (-)-chiral state as a function of the momentum along the x- and y-directions, which is plotted in Figure 2 in the paper.
Fig3b.txt Jan 6, 2026 - Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets Plain Text - 20.2 KB - MD5: 40c1bef3acb089db169d1c0813b8e896 The file ‘Fig3b.txt’ contains the z-component of the spin current in the (+) chiral state, the z-component of the spin current in the (-)-chiral state, as well as the y-component of the spin current in the (+)-chiral state, normalized by the constant y-component of the spin current in the (-)-chiral state, as a function of the applied magnetic fiel...

00_ReadMe.md

Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.

Markdown Text - 5.8 KB -

Description of the dataset.

00_ReadMe.txt

Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.

Plain Text - 6.5 KB -

Description of the dataset.

main.py

Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.

Python Source Code - 14.2 KB -

Main script file

model.py

Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.

Python Source Code - 4.0 KB -

Model configuration

preprocess_data.py

Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.

Python Source Code - 5.2 KB -

Data preprocessing

PyTools.py

Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.

Python Source Code - 3.0 KB -

Helper tools

Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets

Jan 6, 2026

Feodor Svetlanov Konomaev; Mithuss Tharmalingam; Kjetil M. D. Hals, 2025, "Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets", https://doi.org/10.18710/CN2VGX, DataverseNO, V2

Replication Data for the article "Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets" submitted in Physical Review B (2025). The file ‘Fig2.txt’ contains the energy of the three spin-wave bands of the kagome antiferromagnet when it is in the (+)- and (-)-chiral state as a function of the momentum along the x- and y-directions, whi...

01_README.txt

Jan 6, 2026 - Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets

Plain Text - 4.0 KB -

Description of the dataset.

Fig2.txt

Jan 6, 2026 - Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets

Plain Text - 119.6 KB -

The file ‘Fig2.txt’ contains the energy of the three spin-wave bands of the kagome antiferromagnet when it is in the (+)- and (-)-chiral state as a function of the momentum along the x- and y-directions, which is plotted in Figure 2 in the paper.

Fig3b.txt

Jan 6, 2026 - Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets

Plain Text - 20.2 KB -

The file ‘Fig3b.txt’ contains the z-component of the spin current in the (+) chiral state, the z-component of the spin current in the (-)-chiral state, as well as the y-component of the spin current in the (+)-chiral state, normalized by the constant y-component of the spin current in the (-)-chiral state, as a function of the applied magnetic fiel...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications