University of Agder

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.

201 to 210 of 380 Results

Alma implementation in Norwegian Academic libraries May 9, 2020 Johannessen, Hilde Terese Drivenes, 2017, "Alma implementation in Norwegian Academic libraries", https://doi.org/10.18710/EBH77W, DataverseNO, V2 This survey was issued anonymously to all members of staff in Norwegian academic libraries. The main target of the survey was to investigate how the implementation of the new library system Alma was experienced. The survey was issued in Norwegian. Staff in Norwegian academic libraries count for 1637 full-time equivalent. The answer rate was 499 res...
00_ReadMe.txt May 9, 2020 - Alma implementation in Norwegian Academic libraries Plain Text - 2.2 KB - MD5: 48635ef880d26f672fec8c6c2804180f Description of the dataset.
alma_implementation.csv Dec 1, 2017 - Alma implementation in Norwegian Academic libraries Comma Separated Values - 135.3 KB - MD5: c4ef710ce170e359cb286921976df610
Replication Data for: Timing of complementary feeding and associations with maternal and infant characteristics: A Norwegian cross-sectional study Jun 14, 2018 Helle, Christine; Hillesund, Elisabet R.; Øverby, Nina C., 2018, "Replication Data for: Timing of complementary feeding and associations with maternal and infant characteristics: A Norwegian cross-sectional study", https://doi.org/10.18710/ERQETH, DataverseNO, V1, UNF:6:Hl5QDfYaMB1DR8d8ZMso6g== [fileUNF] This data file contains anonymous maternal and infant baseline data collected at child age 5.5 months from the Norwegian RCT Early Food for Future Health.
data_file.tab Jun 14, 2018 - Replication Data for: Timing of complementary feeding and associations with maternal and infant characteristics: A Norwegian cross-sectional study Tabular Data - 315.9 KB - 144 Variables, 740 Observations - UNF:6:Hl5QDfYaMB1DR8d8ZMso6g== Baseline data from the Norwegian study Early Food for Future Health
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...
00_ReadMe.txt Apr 10, 2025 - ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium Plain Text - 4.5 KB - MD5: 9088cc5401acd3191ed2e6f059728370 Description of the deposited data set.
ScatteringSplatting.zip Apr 10, 2025 - ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium ZIP Archive - 61.2 MB - MD5: 6fd0f091d7a865c8c03f9b5b7eb3e81e Not available until 2026-01-30 This is the zip file containing the images and COLMAP data for the two synthetic scenes.
40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen May 19, 2020 Haugen, Thomas; Seiler, Stephen; Felix, Breitschadel, 2020, "40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen", https://doi.org/10.18710/PJONBM, DataverseNO, V1, UNF:6:oQ6Ow9Vn5v38C7gQgFhNuw== [fileUNF] This data is collected on over 600 Norwegian athletes from different sports performing 40m sprint tests under highly controlled conditions. The data was collected as part of training monitoring. The data forms the background for several published studies.
00_ReadMe.txt May 19, 2020 - 40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen Plain Text - 6.2 KB - MD5: e2783d3c4f2c148f3691778d0d92ee83 This is a description of the dataset.

Alma implementation in Norwegian Academic libraries

May 9, 2020

Johannessen, Hilde Terese Drivenes, 2017, "Alma implementation in Norwegian Academic libraries", https://doi.org/10.18710/EBH77W, DataverseNO, V2

This survey was issued anonymously to all members of staff in Norwegian academic libraries. The main target of the survey was to investigate how the implementation of the new library system Alma was experienced. The survey was issued in Norwegian. Staff in Norwegian academic libraries count for 1637 full-time equivalent. The answer rate was 499 res...

00_ReadMe.txt

May 9, 2020 - Alma implementation in Norwegian Academic libraries

Plain Text - 2.2 KB -

Description of the dataset.

alma_implementation.csv

Dec 1, 2017 - Alma implementation in Norwegian Academic libraries

Comma Separated Values - 135.3 KB -

Replication Data for: Timing of complementary feeding and associations with maternal and infant characteristics: A Norwegian cross-sectional study

Jun 14, 2018

Helle, Christine; Hillesund, Elisabet R.; Øverby, Nina C., 2018, "Replication Data for: Timing of complementary feeding and associations with maternal and infant characteristics: A Norwegian cross-sectional study", https://doi.org/10.18710/ERQETH, DataverseNO, V1, UNF:6:Hl5QDfYaMB1DR8d8ZMso6g== [fileUNF]

This data file contains anonymous maternal and infant baseline data collected at child age 5.5 months from the Norwegian RCT Early Food for Future Health.

data_file.tab

Jun 14, 2018 - Replication Data for: Timing of complementary feeding and associations with maternal and infant characteristics: A Norwegian cross-sectional study

Tabular Data - 315.9 KB - 144 Variables, 740 Observations -

Baseline data from the Norwegian study Early Food for Future Health

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...

00_ReadMe.txt

Apr 10, 2025 - ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium

Plain Text - 4.5 KB -

Description of the deposited data set.

ScatteringSplatting.zip

Apr 10, 2025 - ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium

ZIP Archive - 61.2 MB -

Not available until 2026-01-30

This is the zip file containing the images and COLMAP data for the two synthetic scenes.

40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen

May 19, 2020

Haugen, Thomas; Seiler, Stephen; Felix, Breitschadel, 2020, "40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen", https://doi.org/10.18710/PJONBM, DataverseNO, V1, UNF:6:oQ6Ow9Vn5v38C7gQgFhNuw== [fileUNF]

This data is collected on over 600 Norwegian athletes from different sports performing 40m sprint tests under highly controlled conditions. The data was collected as part of training monitoring. The data forms the background for several published studies.

00_ReadMe.txt

May 19, 2020 - 40m sprint mechanics dataset male and female athletes UiA/Olympiatoppen

Plain Text - 6.2 KB -

This is a description of the dataset.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications