﻿Title: 			EUropean Flood Fatalities (EUFF) database 1980-2018.csv
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Authors: 				Petrucci, O. (Olga)||orcid:0000-0001-6918-1135
					Aceto, L. (Luigi)
					Bianchi, C. (Cinzia)
					Bigot, V. (Victoria)
					Brázdil, R. (Rudolf)||orcid:0000-0003-4826-2299
					Pereira, S. (Susana)||orcid:0000-0002-9674-0964
					Inbar, M. (Moshe)
					Kahraman, A. (Abdullah)||orcid:0000-0002-8180-1103
					Kılıç, O. (Özgenur)
					Kotroni, V. (Vassiliki)||orcid:0000-0003-1248-5490
					Llasat, M.C. (Maria Carmen)||orcid:0000-0001-8720-4193
					Llasat-Botija, M. (Montserrat)
					Mercuri, M. (Michele)||orcid:0000-0002-5217-6644
					Papagiannaki, K. (Katerina)||orcid:0000-0003-4433-5841
					Pasqua, A.A. (Angela Aurora)
					Řehoř, J. (Jan)
					Rossello-Geli, J. (Joan)
					Salvati, P. (Paola)
					Vinet, F. (Freddy)
					Zêzere, J.L. (José Luis)||orcid:0000-0002-3953-673X
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Related Publication: 			https://www.mdpi.com/2073-4441/11/8/1682
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Description:				This dataset, named EUFF (EUropean Flood Fatalities) collects data about flood mortality (2466 cases)
					occurred during a 39-year period (1980-2018) in 8 countries divided into 9 study areas (Czech Republic,
					Israel, Italy, Turkey, Greece, Portugal, South France, Catalonia and Balearic Islands).
					The methodological approach to gather data was based on the systematic collection of fatal events descriptions
					from documentary sources and the disaggregation and systematization of all the available information into the database.
					Narratives of fatal events gathered from documentary sources were disaggregated in database fields describing
					victim’s profile and the circumstances of the deaths; each row contains data related to a single fatality,
					organized in fields with informations about event (place, date, hour), victim (age, gender, conditions, residency, activity),
					and victim-event interactions (accident place, accident dynamic, death causes, protective and/or hazardous behaviours).
					EUFF database represents a unique source of data for the study of flood victims with a broad potential
					for further spatial and temporal extension for different use.
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Fields: 				n.2466 fields. - Every field contains a fatality event.
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Description of headers:

Fatality_ID (number – Primary Key):	| A unique, incremental number as identifier for each event.
________________________________________|______________________________________________________________________
Country (string):			| Country of the event.
________________________________________|______________________________________________________________________
Region (string):			| Region of the event.
________________________________________|______________________________________________________________________
Municipality (string): 			| Municipality of the event.
________________________________________|______________________________________________________________________
Prefecture (string):			| Prefecture of the event.
________________________________________|______________________________________________________________________
LAT (float):				| Latitude of the event; Projection in WGS84 (EPSG: 4326).
________________________________________|______________________________________________________________________
LON (float):				| Longitude of the event; Projection in WGS84 (EPSG: 4326).
________________________________________|______________________________________________________________________
Loc_accuracy (string):			| Accuracy of coordinates (Low or Hight).
________________________________________|______________________________________________________________________
Date (date):				| Date of the event (dd/mm/hhhh).
________________________________________|______________________________________________________________________
Hour (time):				| Time of the event (hh:mm).
________________________________________|______________________________________________________________________
Hour_accuracy	(string):		| Accuracy of the hour (Low or Hight).
________________________________________|______________________________________________________________________
Age (int):				| Age of the victim.
________________________________________|______________________________________________________________________
Age_string (string):			| Age of the victim:
					|
					| 			from 0 to 14 years	Child
      					| 			from 15 to 29 years	Boy/Girl
   					| 			from 30 to 49 years	Young adult
       					| 			from 50 to 69 years	Adult
       					| 			>=70 years		Elderly.
________________________________________|______________________________________________________________________				
Gender	(string):			| Gender of the Victim (M or F)
________________________________________|______________________________________________________________________
Residency (string):			| If the victim was Resident, Not Resident or Tourist.
________________________________________|______________________________________________________________________
Vinctim_condition (string):		| Victim condition at the moment of the accident
________________________________________|______________________________________________________________________
Victim_activity	(string):		| Victim condition at the moment of the accident
________________________________________|______________________________________________________________________
Accident_place (string):		| Place of the accident
________________________________________|______________________________________________________________________
Accident_dynamic (string):		| Accident dynamic
________________________________________|______________________________________________________________________
Death_cause	(string):		| Death Cause
________________________________________|______________________________________________________________________
Protective_behavior (string):		| Protective behaviours of the Victim
________________________________________|______________________________________________________________________
Hazardous_behaviour (string):		| Hazardous behaviours of the Victim
_______________________________________________________________________________________________________________
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