171 to 180 of 140,701 Results
Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
MPEG-4 Video - 3.1 MB -
MD5: 75ff37dac4146e034a3b9d3a42137aa9
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
MPEG-4 Video - 3.1 MB -
MD5: d74bc91844a38315bfc50ff5844a5a2e
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
MPEG-4 Video - 4.8 MB -
MD5: fac141fc18d8ea293229d9b6c13c750c
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
application/x-yaml - 723 B -
MD5: 5d216b98537a56074344fa6629f0cca4
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
application/x-yaml - 671 B -
MD5: 1388d29f1d0d2ef04d37ac4498ef0103
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Unknown - 1.0 KB -
MD5: 943f43ec01aef51ac5f5b46640f91aa4
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Plain Text - 646 B -
MD5: 56ec6fed93e407bbac86078342ca599c
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Jul 3, 2026 -
Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Plain Text - 594 B -
MD5: c32c0e4e8c1da5856069898489a511a3
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Jul 2, 2026 - TROLLing
Vos, Myrte, 2026, "Supporting data for "Perfectives, reviewed"", https://doi.org/10.18710/GKBOQC, DataverseNO, V1
Data, audio and visual stimuli, experimental materials and software (JS/HTML/CSS), and analysis notebooks (R) underlying the PhD dissertation "Perfectives, reviewed" (2026): an investigation of perfective viewpoint aspect using the Visual World Paradigm, through webcam eye tracking. |
Jul 2, 2026 -
Supporting data for "Perfectives, reviewed"
Adobe PDF - 363.9 KB -
MD5: 26efa2d4d39e7123314763ed068f2ee9
Data Privacy Assessment for the dataset |
