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ZENODO
Dataset . 2021
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 . 2021
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 . 2021
License: CC BY
Data sources: ZENODO
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Additional dataset to "Comparing urban coastal flood risk in 136 cities under two alternative sea-level projections: RCP 8.5 and an expert opinion-based high-end scenario"

Authors: Abadie, Luis M.; Jackson, Luke P.; Sainz de Murieta, Elisa; Jevrejeva, Svetlana; Galarraga, Ibon;

Additional dataset to "Comparing urban coastal flood risk in 136 cities under two alternative sea-level projections: RCP 8.5 and an expert opinion-based high-end scenario"

Abstract

This work was developed thanks to the financial support received under the following grants and research projects: L.M.A. is grateful for financial support from the Science and Innovation Ministry of Spain (MINECO RTI2018-093352-B-I00). L.P.J. acknowledges funding from the Robertson Foundation for Climate Econometrics (Grant Numbers: 9907422 and 9908921). E.S.M. acknowledges funding from the Basque Government (Postdoctoral Fellowship grant no. POS_2018_2_0027). I.G. was funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 776479. L.M.A, E.S.M. and I.G. acknowledge support from the Basque Government through the BERC 2018-2021 programme and from the Spanish Ministry of the Economy and Competitiveness (MINECO) through BC3 María de Maeztu excellence accreditation (MDM-2017-0714). S.J. was funded by the Natural Environmental Research Council under Grant Agreement No. NE/P015107/1.

This dataset provides additional information to that included in: Abadie, L.M., Jackson, L.P., Sainz de Murieta, E., Jevrejeva, S., Galarraga, I., 2020. Comparing urban coastal flood risk in 136 cities under two alternative sea-level projections: RCP 8.5 and an expert opinion-based high-end scenario. Ocean & Coastal Management 193, 105249. https://doi.org/10.1016/j.ocecoaman.2020.105249 The file contains sea-level rise projections, expected damages and risk data for RCP4.5 and RCP2.6 additionally to the RCP8.5 and the High-end scenario provided in the aforementioned article. Also, we present the data for every decade from 2020 to 2100.

Related Organizations
Keywords

Coastal cities, Unmitigated scenarios, Regional sea-level rise, Damage risk, Probabilistic projections, Ice-sheet melting risk

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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