University of Agder

SFI Offshore Mechatronics

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1 to 10 of 29 Results

Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break Feb 24, 2026 Blanco Gonzalez, Enrique, 2026, "Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break", https://doi.org/10.18710/VPXHVP, DataverseNO, V1 This dataset contains all the information needed to reproduce the analyses performed in the manuscript "Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break" accepted for publication in Evolutionary Applications.
Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. Feb 24, 2026 Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian, 2026, "Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.", https://doi.org/10.18710/LNXUIR, DataverseNO, V1 The supplementary materials provide the complete codebase for the Soft Ordering 1-D Convolutional Neural Network (1-D CNN) model for estimating the capacity factor of wind farms, as presented in "Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation" (PHME 2024). This research was...
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...
Replication Data for: På utsiden av mediedemokratiet. Et dypdykk i tankeprosessene hos mennesker med mistillit til nyheter, demokrati og digitalisering Nov 19, 2025 Elmenhorst, Ferdinand Arntzen, 2025, "Replication Data for: På utsiden av mediedemokratiet. Et dypdykk i tankeprosessene hos mennesker med mistillit til nyheter, demokrati og digitalisering", https://doi.org/10.18710/ZMGNHS, DataverseNO, V1 The dataset consists of 6/9 interviews from a MA-project at University of Agder, named “På Utsiden av Mediedemokratiet” (PUAM), translated to “Outside the media democracy”. The project was written by Ferdinand Arntzen Elmenhorst in 2025, with the guidance of professor Abit Hoxha. Refer to the project with Elmenhorst, F., A. (2025). På Utsiden av Me...
E-Fall Vision: Event Based Human Fall Detection Dataset Nov 19, 2025 Muhammad Hamza Zafar, 2025, "E-Fall Vision: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/SJG4E6, DataverseNO, V1 This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data.
E-GMDCSA24: Event Based Human Fall Detection Dataset Nov 19, 2025 Muhammad Hamza Zafar, 2025, "E-GMDCSA24: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/T0GJXA, DataverseNO, V2 This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data.
E-CAUCAFall: Event Based Human Fall Detection Dataset Nov 19, 2025 Muhammad Hamza Zafar, 2025, "E-CAUCAFall: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/ITNCWP, DataverseNO, V1 This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data.
Replication Data for: Strain-induced manipulation of non-collinear antiferromagnets Aug 22, 2025 Mithuss Tharmalingam; Feodor S. Konomaev; Kjetil Magne Dørheim Hals, 2025, "Replication Data for: Strain-induced manipulation of non-collinear antiferromagnets", https://doi.org/10.18710/NSF2KN, DataverseNO, V1 Replication Data for the article "Strain-induced manipulation of non-collinear antiferromagnets" published in Physical Review B (2025). The files ‘Fig4a_S1’, ‘Fig4a_S2’ and ‘Fig4a_S3’ contain the x, y and z coordinate of the macrospins S1, S2 and S3, respectively, in Figure 4a. The files ‘Fig4b_Phitrajectory’, ‘Fig4b_Psitrajectory’and ‘Fig4b_Thetat...
ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium Apr 10, 2025 Dalal, Anurag, 2025, "ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium", https://doi.org/10.18710/8AS0US, DataverseNO, V1 We create a synthetic dataset using Unreal Engine 5 to evaluate 3D reconstruction under scattering media like fog and underwater conditions. It includes two scenes—an outdoor foggy environment and a realistic underwater setting—with images captured from a hemispherical camera layout. Each scene provides separate training and evaluation views, and C...
UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis Apr 10, 2025 Dalal, Anurag, 2025, "UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis", https://doi.org/10.18710/WSU7I6, DataverseNO, V2 The dataset comprises three dynamic scenes characterized by both simple and complex lighting conditions. The quantity of cameras ranges from 4 to 512, including 4, 6, 8, 10, 12, 14, 16, 32, 64, 128, 256, and 512. The point clouds are randomly generated.

Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break

Feb 24, 2026

Blanco Gonzalez, Enrique, 2026, "Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break", https://doi.org/10.18710/VPXHVP, DataverseNO, V1

This dataset contains all the information needed to reproduce the analyses performed in the manuscript "Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break" accepted for publication in Evolutionary Applications.

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

Feb 24, 2026

Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian, 2026, "Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.", https://doi.org/10.18710/LNXUIR, DataverseNO, V1

The supplementary materials provide the complete codebase for the Soft Ordering 1-D Convolutional Neural Network (1-D CNN) model for estimating the capacity factor of wind farms, as presented in "Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation" (PHME 2024). This research was...

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...

Replication Data for: På utsiden av mediedemokratiet. Et dypdykk i tankeprosessene hos mennesker med mistillit til nyheter, demokrati og digitalisering

Nov 19, 2025

Elmenhorst, Ferdinand Arntzen, 2025, "Replication Data for: På utsiden av mediedemokratiet. Et dypdykk i tankeprosessene hos mennesker med mistillit til nyheter, demokrati og digitalisering", https://doi.org/10.18710/ZMGNHS, DataverseNO, V1

The dataset consists of 6/9 interviews from a MA-project at University of Agder, named “På Utsiden av Mediedemokratiet” (PUAM), translated to “Outside the media democracy”. The project was written by Ferdinand Arntzen Elmenhorst in 2025, with the guidance of professor Abit Hoxha. Refer to the project with Elmenhorst, F., A. (2025). På Utsiden av Me...

E-Fall Vision: Event Based Human Fall Detection Dataset

Nov 19, 2025

Muhammad Hamza Zafar, 2025, "E-Fall Vision: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/SJG4E6, DataverseNO, V1

This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data.

E-GMDCSA24: Event Based Human Fall Detection Dataset

Nov 19, 2025

Muhammad Hamza Zafar, 2025, "E-GMDCSA24: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/T0GJXA, DataverseNO, V2

E-CAUCAFall: Event Based Human Fall Detection Dataset

Nov 19, 2025

Muhammad Hamza Zafar, 2025, "E-CAUCAFall: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/ITNCWP, DataverseNO, V1

Replication Data for: Strain-induced manipulation of non-collinear antiferromagnets

Aug 22, 2025

Mithuss Tharmalingam; Feodor S. Konomaev; Kjetil Magne Dørheim Hals, 2025, "Replication Data for: Strain-induced manipulation of non-collinear antiferromagnets", https://doi.org/10.18710/NSF2KN, DataverseNO, V1

Replication Data for the article "Strain-induced manipulation of non-collinear antiferromagnets" published in Physical Review B (2025). The files ‘Fig4a_S1’, ‘Fig4a_S2’ and ‘Fig4a_S3’ contain the x, y and z coordinate of the macrospins S1, S2 and S3, respectively, in Figure 4a. The files ‘Fig4b_Phitrajectory’, ‘Fig4b_Psitrajectory’and ‘Fig4b_Thetat...

ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium

Apr 10, 2025

Dalal, Anurag, 2025, "ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium", https://doi.org/10.18710/8AS0US, DataverseNO, V1

We create a synthetic dataset using Unreal Engine 5 to evaluate 3D reconstruction under scattering media like fog and underwater conditions. It includes two scenes—an outdoor foggy environment and a realistic underwater setting—with images captured from a hemispherical camera layout. Each scene provides separate training and evaluation views, and C...

UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis

Apr 10, 2025

Dalal, Anurag, 2025, "UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis", https://doi.org/10.18710/WSU7I6, DataverseNO, V2

The dataset comprises three dynamic scenes characterized by both simple and complex lighting conditions. The quantity of cameras ranges from 4 to 512, including 4, 6, 8, 10, 12, 14, 16, 32, 64, 128, 256, and 512. The point clouds are randomly generated.

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