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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Global database of Coastal Characteristics (GCC)

Authors: Panagiotis Athanasiou; Ap van Dongeren; Maarten Pronk; Alessio Giardino; Michalis Vousdoukas; Roshanka Ranasinghe;

Global database of Coastal Characteristics (GCC)

Abstract

This dataset present a Global database of Coastal Characteristics (GCC) with 80 indicators spanning the geophysical, hydrometeorological and socioeconomic environment, at a high alongshore resolution of 1 km and provided at ~730,000 points along the global ice-free coastline. The latest freely available global datasets and a global high-resolution transect system are used to derive these indicators. The geophysical indicators include coastal slopes and elevation maxima, land-use, presence of vegetation or sandy beaches.The hydro-meteorological indicators involve water level, wave conditions and meteorological conditions (rain and temperature). Additionally, the socioeconomic indices are related to population, GDP and presence of critical infrastructure (roads, railways, ports and airports). The indicators are provided in three comma-separated values (CSV) files, one for each group: GCC_geophysical.csv GCC_hydrometeorological.csv GCC_socioeconomic.csv Information for each individual indicator, including its name, long name (description), units and type, are provided in the meta_data.yml file.

While derived from existing global datasets, these indicators can be valuable for coastal screening studies, especially for data-poor locations. However, since the indicators are based on global data, the developed indicators of the GCC dataset should not be seen as a replacement for local-scale studies or data-collection and monitoring campaigns and should not be directly employed for very local scale efforts such as, for e.g., designing coastal adaptation measures or informing decision making.

Keywords

Coastal and estuarine hydraulics, coastal transects, coastal, coastal hazards, coastal classification, coastal information, global, Coastal ecosystems, Coastal geography

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citations
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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