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1 to 10 of 20 Results
Oct 12, 2023 - How well do concentric radii approximate population exposure to volcanic hazards?
Jenkins, Susanna, 2023, "Online Resource 2 - Error analysis", https://doi.org/10.21979/N9/1Z99TC, DR-NTU (Data), V1, UNF:6:Vz5vHwJVfc/7AXoRhVo/9A== [fileUNF]
Online resource 2 compares the population exposures calculated from modelling with those calculated from radii in terms of their mean percentage error (MPE) and Chi-square error, which are two order-dependent error functions. This gives us information about the dispersion around...
Oct 12, 2023 - How well do concentric radii approximate population exposure to volcanic hazards?
Jenkins,Susanna, 2023, "Online Resource 1 - Maximum modelled hazard distances", https://doi.org/10.21979/N9/GWNX5K, DR-NTU (Data), V1, UNF:6:GZFPRh9EZ5sbfVsw5xYsJA== [fileUNF]
This dataset includes six csv files with all of the maximum modelled hazard distances (in metres) from the paper: "How well do concentric radii approximate population exposure to volcanic hazards?" and a .pdf file describing the data .
Oct 12, 2023
Supplementary Material associated with the paper: "How well do concentric radii approximate population exposure to volcanic hazards?"
Oct 12, 2023 - Replication data for: "Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia
Josh, L. Hayes; Jenkins, Susanna; Joffrain, Mathis, 2023, "Supplementary Material 2: Calculated frequency-magnitude estimates", https://doi.org/10.21979/N9/R7B2C5, DR-NTU (Data), V1, UNF:6:OQA7Q0PtY/mpYblp+H3Bqg== [fileUNF]
Supplementary Material 2: Calculated frequency-magnitude estimates of Hayes, J.L., Jenkins, S.F., Joffrain, M., 2022. Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia. Frontiers in Earth Science, 10:895756. https://d...
Oct 12, 2023 - Replication data for: "Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia
Josh, L. Hayes; Jenkins, Susanna; Joffrain, Mathis, 2023, "Supplementary material 1: Published frequency-magnitude estimates.", https://doi.org/10.21979/N9/YJZJUI, DR-NTU (Data), V1, UNF:6:ns9Bg5VH2lgT9+bsEhvBMg== [fileUNF]
Supplementary material 1: Published frequency-magnitude estimates.
Aug 30, 2023
Quah, Jia Yong, 2023, "Fire From Volcanic Activity : Quantifying the threat from an understudied hazard", https://doi.org/10.21979/N9/IKMFG2, DR-NTU (Data), V1, UNF:6:aobbUP6xuU8UOm6TPbmZXQ== [fileUNF]
Data associated with Quah et al., 2023. Burn zone areas (as shapefiles) and the data (csv file) for every simulated fire and fire spread event following volcanic ballistic projectile in Auckland Volcanic Field.
Aug 10, 2022
Lerner, Geoffrey A; Williams, George T, 2022, "Bibliometric Data for: How inclusive is volcanology? Insights from global bibliometric analyses", https://doi.org/10.21979/N9/CMOA4Z, DR-NTU (Data), V1, UNF:6:R3nl1sCRDcbgRlecT+8oFw== [fileUNF]
Article metadata for results of a Scopus search for the academic journals 'Journal of Applied Volcanology' and 'Volcanica'. Sharing of raw data used for bibliometric analysis was not permitted by Web of Science.
Jun 20, 2022
Jenkins, Susanna; Mark S. Bebbington, 2022, "Eruption phases dataset", https://doi.org/10.21979/N9/X1LHOT, DR-NTU (Data), V1
The eruption phases dataset contains 2670 eruptions and 6871 eruptive phases from volcanoes around the world, representing 95% of eruptions with text descriptions in the Smithsonian Institution's Global Volcanism Program. These data accompany Bebbington, M.S. & Jenkins, S.F., 202...
Apr 17, 2022 - Oh Jee Hon
Oh, Jee Hon, 2022, "Replication Supplementary Data for: Cataloguing Tephra Fall Building Damage and Vulnerability Using Remotely Obtained Data: 2020 Taal Eruption, Philippines (1)", https://doi.org/10.21979/N9/9IPQVO, DR-NTU (Data), V1, UNF:6:IOXiJ1oD3MT4gjixmFiqXw== [fileUNF]
The Twitter API csv. files contains information on tweets posted from 12 Jan 2020 0414H PHT to 30-Jan-2020 1800H PHT within the Philippines geobox. The R code is used to filter the tweets by language and words.
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