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environment-3D.yml
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
LICENSE
Jul 3, 2026 - Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Unknown - 1.0 KB - MD5: 943f43ec01aef51ac5f5b46640f91aa4
requirements-2D.txt
Jul 3, 2026 - Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Plain Text - 646 B - MD5: 56ec6fed93e407bbac86078342ca599c
requirements-3D.txt
Jul 3, 2026 - Code and Data for: Automated dock-based UAV systems for geohazard monitoring in mountainous terrain
Plain Text - 594 B - MD5: c32c0e4e8c1da5856069898489a511a3
Supporting data for "Perfectives, reviewed"
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.
DPA.pdf
Jul 2, 2026 - Supporting data for "Perfectives, reviewed"
Adobe PDF - 363.9 KB - MD5: 26efa2d4d39e7123314763ed068f2ee9
Data Privacy Assessment for the dataset
Information_and_Consent_text.pdf
Jul 2, 2026 - Supporting data for "Perfectives, reviewed"
Adobe PDF - 69.1 KB - MD5: 4031dbec14fec7b0705f6e97a0d7bdfd
README.md
Jul 2, 2026 - Supporting data for "Perfectives, reviewed"
Markdown Text - 3.5 KB - MD5: bfba6f3bf188b67f800cfa8a2a382f81
Analysis.R
Jul 2, 2026 - Supporting data for "Perfectives, reviewed"
R Syntax - 10.3 KB - MD5: 826f052fcd2f5c2433ca1a40fbed7a24
data_full.csv
Jul 2, 2026 - Supporting data for "Perfectives, reviewed"
Comma Separated Values - 165.8 MB - MD5: 2a6694c39f71cd5bedc125615f2bd5e1
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