GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ...
The dataset regards a virtual scenario designed to work with GeaVR software (https://geavr.eu/). Area of interest: the western portion of the emerging mid-ocean ridge in Northern Iceland, especially in the so-called Theistareykir Fissure Swarm. Aerial extent: 12.6 x 10.2 km. Texture resolution: 67.4...
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| Format: | Dataset |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.10018242 https://zenodo.org/doi/10.5281/zenodo.10018242 |
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ftdatacite:10.5281/zenodo.10018242 |
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openpolar |
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ftdatacite:10.5281/zenodo.10018242 2023-12-03T10:24:39+01:00 GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... Bonali, Fabio Luca 2023 https://dx.doi.org/10.5281/zenodo.10018242 https://zenodo.org/doi/10.5281/zenodo.10018242 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10018243 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.1001824210.5281/zenodo.10018243 2023-11-03T10:55:29Z The dataset regards a virtual scenario designed to work with GeaVR software (https://geavr.eu/). Area of interest: the western portion of the emerging mid-ocean ridge in Northern Iceland, especially in the so-called Theistareykir Fissure Swarm. Aerial extent: 12.6 x 10.2 km. Texture resolution: 67.4 cm/pixel. Type of scenario: derived from photogrammetry-processing – historical aerial photos acquired in 1982 A.D.. Please cite: Tibaldi, A., Bonali, F.L., Vitello, F. et al. Real world–based immersive Virtual Reality for research, teaching and communication in volcanology. Bull Volcanol 82, 38 (2020). https://doi.org/10.1007/s00445-020-01376-6 ... Dataset Iceland DataCite Metadata Store (German National Library of Science and Technology) |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| description |
The dataset regards a virtual scenario designed to work with GeaVR software (https://geavr.eu/). Area of interest: the western portion of the emerging mid-ocean ridge in Northern Iceland, especially in the so-called Theistareykir Fissure Swarm. Aerial extent: 12.6 x 10.2 km. Texture resolution: 67.4 cm/pixel. Type of scenario: derived from photogrammetry-processing – historical aerial photos acquired in 1982 A.D.. Please cite: Tibaldi, A., Bonali, F.L., Vitello, F. et al. Real world–based immersive Virtual Reality for research, teaching and communication in volcanology. Bull Volcanol 82, 38 (2020). https://doi.org/10.1007/s00445-020-01376-6 ... |
| format |
Dataset |
| author |
Bonali, Fabio Luca |
| spellingShingle |
Bonali, Fabio Luca GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... |
| author_facet |
Bonali, Fabio Luca |
| author_sort |
Bonali, Fabio Luca |
| title |
GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... |
| title_short |
GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... |
| title_full |
GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... |
| title_fullStr |
GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... |
| title_full_unstemmed |
GeaVR-tailored Immersive Virtual Scenario for the Theistareykir Fissure Swarm, Northern Iceland ... |
| title_sort |
geavr-tailored immersive virtual scenario for the theistareykir fissure swarm, northern iceland ... |
| publisher |
Zenodo |
| publishDate |
2023 |
| url |
https://dx.doi.org/10.5281/zenodo.10018242 https://zenodo.org/doi/10.5281/zenodo.10018242 |
| genre |
Iceland |
| genre_facet |
Iceland |
| op_relation |
https://dx.doi.org/10.5281/zenodo.10018243 |
| op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
| op_doi |
https://doi.org/10.5281/zenodo.1001824210.5281/zenodo.10018243 |
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1784273150298554368 |