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00_ReadMe.txt
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
Plain Text - 4.9 KB - MD5: a15f845237699a3d3ef78c8b95d1bbe9
Dataset Info
ObjectImages_part_1.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 25.5 GB - MD5: 0e670e5a13efc3e8235e0a954c83a693
Object_images_part_2.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 25.4 GB - MD5: 6320ea78b2741401d0384b8ff0d7d784
segmentation_images_and_masks.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 9.5 GB - MD5: 2a302d08191a6d6fd6eb8086c41c41ca
TerrainImages_part_1.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 24.1 GB - MD5: 943b1b1125b2023f7178b688d50b9bdb
Terrain_images_part_2.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 20.5 GB - MD5: 264b2004851e832029fd0e27712729d2
Replication Data for: Turbulence-induced anti-Stokes flow: experiments and theory
Feb 12, 2026
Ellingsen, Simen Ådnøy; Rømcke, Olav; Smeltzer, Benjamin; Teixeira, Miguel; van den Bremer, T. S.; Moen, Kristoffer Sosulski; Hearst, R. Jason, 2026, "Replication Data for: Turbulence-induced anti-Stokes flow: experiments and theory", https://doi.org/10.18710/ZZPUNJ, DataverseNO, V1
This set contains snapshots of the 2D velocity fields in a vertical- streamwise plane in the water phase of the recirculating water channel in Strømningsteknisk at NTNU with surface gravity waves traveling upstream on the flow. Particle image velocimetry (PIV) is used to capture the velocities. The set contains four different turbulent conditions (...
00_ReadMe_Exp1.txt
Feb 12, 2026 - Replication Data for: Turbulence-induced anti-Stokes flow: experiments and theory
Plain Text - 900 B - MD5: 8a8f6277ccb634cae596d85eb273b1e8
Data Description for experiment 1
00_ReadMe_Exp2.txt
Feb 12, 2026 - Replication Data for: Turbulence-induced anti-Stokes flow: experiments and theory
Plain Text - 4.0 KB - MD5: 0dbd72a93b0e360353810aa1f697edaa
Data Description for experiment 2
00_ReadMe_Exp3.txt
Feb 12, 2026 - Replication Data for: Turbulence-induced anti-Stokes flow: experiments and theory
Plain Text - 5.5 KB - MD5: e72b4810fb719e1751f5ffcd9f7856ef
Data Description for Experiment 3
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