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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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National-scale rainfall-triggered landslide susceptibility and exposure in Nepal

Authors: Kincey, Mark; Rosser, Nick; Swirad, Zuzanna; Robinson, Tom; Shrestha, Ram; Singh-Pujara, Dammar; Basyal, Gopi; +4 Authors

National-scale rainfall-triggered landslide susceptibility and exposure in Nepal

Abstract

This dataset is a 30 m resolution landslide susceptibility (hazard) model for Nepal. The dataset is derived from a fuzzy-logic model following the approach developed by Kritikos et al (2015), and is trained on a manually mapped landslide inventory (polygons of landslide locations and extents), originally produced by Durham University and NSET Nepal as part of the UKRI-DFID SHEAR program. The dataset shows the relative probability of a landslide occurring across the geographical extent of Nepal for rainfall triggered landslides only, on a scale of 1 (very highly anticipated) to 0 (very weakly anticipated). Further details and an online map viewer containing the data are available through the Bipad portal (https://bipadportal.gov.np/risk-info/#/hazard). The research relating to this landslide susceptibility model has been supported by the UKRI-DFID SHEAR program (201844-112), the EPSRC project ‘Risk at the Margins’ (EP/T024747/1), the EU ECHO HIP project ‘Risk informed landslide management in Nepal’s hill areas’ (ECHO/-XA/BUD/2020/91026), and by a grant from the Global Challenges Research Fund Multi-Hazard and Systemic Risk programme for the ‘Sajag-Nepal’ project (NE/T01038X/1).

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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