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1,671 to 1,680 of 6,982 Results
dataset-25062024-to-24082024.csv
Sep 25, 2024 - Questionnaire dataset about user experience of an autonomous ferry
Comma Separated Values - 34.6 KB - MD5: 3274db6d2b6f3340ecfb3e53e7c0712c
Questionnaire-English.pdf
Sep 25, 2024 - Questionnaire dataset about user experience of an autonomous ferry
Adobe PDF - 221.6 KB - MD5: cc12c40fda2ff688538614440e67cba6
Questionnaire-Norwegian.pdf
Sep 25, 2024 - Questionnaire dataset about user experience of an autonomous ferry
Adobe PDF - 218.9 KB - MD5: 60972e3ccad6a060875defb4101d092e
Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
Sep 25, 2024
Hann, Richard, 2024, "Drone-based mapping of surging glaciers in Rindersbukta, Svalbard", https://doi.org/10.18710/IBBSGD, DataverseNO, V2
This database contains drone-based mapping data of three surging glaciers in Rindersbukta, Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape and the processed data consis...
00_Readme.txt
Sep 25, 2024 - Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
Plain Text - 5.8 KB - MD5: 598d8a5cd8fbbdd64972bc1abfceae57
01_2023_Scheelebreen_Images.zip
Sep 25, 2024 - Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
ZIP Archive - 14.2 GB - MD5: 45da441300e74e667c699e8da1833d69
01_2023_Vallakrebreen_Images.zip
Sep 25, 2024 - Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
ZIP Archive - 27.1 GB - MD5: dcc6dfa62f9274b299e901a1f485f8f7
01_2024_Vallakrebreen_Images.zip
Sep 25, 2024 - Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
ZIP Archive - 2.3 GB - MD5: 4875a62325d31b3877d42e0feecc281e
02_2023_Scheelebreen_DEM.tif
Sep 25, 2024 - Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
TIFF Image - 527.7 MB - MD5: 28c3854479338273025a87a2ef686e50
02_2023_Vallakrebreen_DEM.tif
Sep 25, 2024 - Drone-based mapping of surging glaciers in Rindersbukta, Svalbard
TIFF Image - 871.6 MB - MD5: 09ee462f8e55d181a9b24516c4f45eae
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