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Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00556870" target="_blank" >RIV/86652079:_____/22:00556870 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/22:00125700

  • Result on the web

    <a href="https://www.nature.com/articles/s41597-022-01273-x" target="_blank" >https://www.nature.com/articles/s41597-022-01273-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41597-022-01273-x" target="_blank" >10.1038/s41597-022-01273-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

  • Original language description

    This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries. The FFEM-DB is expandable, regularly updated, publicly available, and with anonymized data. The key advantages of the FFEM-DB compared to existing datasets containing flood fatalities are its high level of detail, data accuracy, record completeness, and the large sample size from an extended area.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Scientific Data

  • ISSN

    2052-4463

  • e-ISSN

    2052-4463

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    166

  • UT code for WoS article

    000781973300006

  • EID of the result in the Scopus database

    2-s2.0-85128119910