Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica
Jupyter notebooks written in python to identify strombolian eruptions in infrared images in the Ray lava lake atop Mount Erebus in Antarctica and cross-correlate volcano seismic data from the strombolian eruptions. These notebooks are related to the research by Brian Dye and Gabriele Morra titled, &...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:302506 2023-07-16T03:54:39+02:00 Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica Dye, B (via Mendeley Data) 2020-05-25T22:35:32.572Z http://nbn-resolving.org/urn:nbn:nl:ui:13-3s-rnjz https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:302506 unknown 1 ycnjmkttj4 http://nbn-resolving.org/urn:nbn:nl:ui:13-3s-rnjz doi:10.17632/ycnjmkttj4.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:302506 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Brian Dye Interdisciplinary sciences 2020 ftdans https://doi.org/10.17632/ycnjmkttj4.1 2023-06-28T22:15:21Z Jupyter notebooks written in python to identify strombolian eruptions in infrared images in the Ray lava lake atop Mount Erebus in Antarctica and cross-correlate volcano seismic data from the strombolian eruptions. These notebooks are related to the research by Brian Dye and Gabriele Morra titled, "Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica." The notebooks were written to be ran in Google CoLab with the current file names under the "Colab Notebooks" folder located in the "My Drive" folder of Google Drive. Some notebooks require ObsPy miniseed data, those should be run outside of Google CoLab. All outputs are contained within the folder so any notebook may be ran in or out of numerical order. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE Other/Unknown Material Antarc* Antarctica Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Lava Lake ENVELOPE(-128.996,-128.996,55.046,55.046) Mount Erebus ENVELOPE(167.167,167.167,-77.533,-77.533) |
institution |
Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Interdisciplinary sciences |
spellingShingle |
Interdisciplinary sciences Dye, B (via Mendeley Data) Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica |
topic_facet |
Interdisciplinary sciences |
description |
Jupyter notebooks written in python to identify strombolian eruptions in infrared images in the Ray lava lake atop Mount Erebus in Antarctica and cross-correlate volcano seismic data from the strombolian eruptions. These notebooks are related to the research by Brian Dye and Gabriele Morra titled, "Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica." The notebooks were written to be ran in Google CoLab with the current file names under the "Colab Notebooks" folder located in the "My Drive" folder of Google Drive. Some notebooks require ObsPy miniseed data, those should be run outside of Google CoLab. All outputs are contained within the folder so any notebook may be ran in or out of numerical order. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE |
author |
Dye, B (via Mendeley Data) |
author_facet |
Dye, B (via Mendeley Data) |
author_sort |
Dye, B (via Mendeley Data) |
title |
Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica |
title_short |
Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica |
title_full |
Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica |
title_fullStr |
Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica |
title_full_unstemmed |
Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica |
title_sort |
data for: machine learning as a detection method of strombolian eruptions in infrared images from mount erebus, antarctica |
publishDate |
2020 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-3s-rnjz https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:302506 |
long_lat |
ENVELOPE(-128.996,-128.996,55.046,55.046) ENVELOPE(167.167,167.167,-77.533,-77.533) |
geographic |
Lava Lake Mount Erebus |
geographic_facet |
Lava Lake Mount Erebus |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
1 ycnjmkttj4 http://nbn-resolving.org/urn:nbn:nl:ui:13-3s-rnjz doi:10.17632/ycnjmkttj4.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:302506 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Brian Dye |
op_doi |
https://doi.org/10.17632/ycnjmkttj4.1 |
_version_ |
1771540916662697984 |