University of Agder

SFI Offshore Mechatronics

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1 to 10 of 323 Results

UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis Jan 30, 2025 Dalal, Anurag, 2025, "UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis", https://doi.org/10.18710/WSU7I6, DataverseNO, V1 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.
00_ReadMe.txt Jan 30, 2025 - UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis Plain Text - 7.2 KB - MD5: 231e08dc171f13a5c105bacae8c86f3e Description of the deposited data set.
UnrealGaussianStat.zip Jan 30, 2025 - UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis ZIP Archive - 915.9 MB - MD5: 391a39f3be89c4031b9ddab3ff38a6e3 Not available until 2026-01-30 Zipped files containing data for 3 unreal engine synthetic scenes.
Background Data for: "University students’ feedback regarding effective measures to prevent bullying" Sep 5, 2024 Tay, Emmanuel Mensah Kormla, 2022, "Background Data for: "University students’ feedback regarding effective measures to prevent bullying"", https://doi.org/10.18710/GX1VYI, DataverseNO, V2 This study explored university students’ perceptions of the usefulness of some antibullying measures in ensuring a bullying-free learning environment. The results in this paper are part of a larger comparative study that investigated the prevalence of bullying in Norway and Ghana...
00_ReadMe.txt Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying" Plain Text - 2.5 KB - MD5: 37e684065efb40affc79293544bd75d0 Description of the deposited data.
01_Material_File.docx Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying" MS Word - 209.6 KB - MD5: 5b760f46d25867ec66795a525c598649 Data in original format.
02_Material_File.xml Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying" XML - 4.2 MB - MD5: ed9000536bc932f0257dd48415c4e905 The Material_File in machine-readable format.
03_BJGC.sav Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying" SPSS Binary - 41.2 KB - MD5: 03b84e3c83a9475c01244fcbb705236a Structured data.
04_BJGC_Data.csv Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying" Comma Separated Values - 55.0 KB - MD5: 4770459e8579a25492cd570ef14a030c Data from the 03_BJGC.sav file in machine-readable format.
05_BJGC_Variable_Information.docx Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying" MS Word - 24.8 KB - MD5: efe9002fb494b118484e33cf97a87e6b Detailed information about variables in the 03_BJGC.sav file.

UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis

Jan 30, 2025

Dalal, Anurag, 2025, "UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis", https://doi.org/10.18710/WSU7I6, DataverseNO, V1

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.

00_ReadMe.txt

Jan 30, 2025 - UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis

Plain Text - 7.2 KB -

Description of the deposited data set.

UnrealGaussianStat.zip

Jan 30, 2025 - UnrealGaussianStat: Synthetic dataset for statistical analysis on Novel View Synthesis

ZIP Archive - 915.9 MB -

Not available until 2026-01-30

Zipped files containing data for 3 unreal engine synthetic scenes.

Background Data for: "University students’ feedback regarding effective measures to prevent bullying"

Sep 5, 2024

Tay, Emmanuel Mensah Kormla, 2022, "Background Data for: "University students’ feedback regarding effective measures to prevent bullying"", https://doi.org/10.18710/GX1VYI, DataverseNO, V2

This study explored university students’ perceptions of the usefulness of some antibullying measures in ensuring a bullying-free learning environment. The results in this paper are part of a larger comparative study that investigated the prevalence of bullying in Norway and Ghana...

00_ReadMe.txt

Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying"

Plain Text - 2.5 KB -

Description of the deposited data.

01_Material_File.docx

Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying"

MS Word - 209.6 KB -

Data in original format.

02_Material_File.xml

Sep 5, 2024 - Background Data for: "University students’ feedback regarding effective measures to prevent bullying"

XML - 4.2 MB -

The Material_File in machine-readable format.