DOI: 10.5281/zenodo.17233353
title: Oceanids Related Events

description: The following dataset was collected as part of the WP3.2 Quantifying societal impact and responses to weather risks work package of the Oceanids project. 

It consists of 3 files.



events.json

locations.json

event_location.json


Events data

Events.json file includes a list of events and their corresponding data. The schema of the data is as follows:








Field



Data Type



Description





event_type 



Enum[flood, hurricane, storm_surge, earthquake, landslide, wildfire, heatwave, tornado, coastal_erosion, other]



The type of the event (e.g., hurricane, storm, flood, etc.).





name



String



The designated name of the event.





start_date



ISO-8601 String



The start date of the event in YYYY-MM-DD format.





end_date



ISO-8601 String



The end date of the event in YYYY-MM-DD format (e.g., for hurricanes, this is the date of dissipation).





countries



Array[String]



The list of countries that were directly affected by the event.





areas_affected



Array[String]



The list of specific subnational areas (e.g., provinces, states, districts, cities) that were directly impacted by the event.





fatalities



Integer



The number of confirmed fatalities caused by the event.





people_injured



Integer



The number of people who sustained non-fatal injuries due to the event.





people_displaced



Integer



The number of people who were forced to leave their homes or shelters due to the event.





people_affected



Integer



The number of people who experienced negative consequences from the event (property damage, health impacts, or loss of access to essential services).





losses



String



The estimated financial losses caused by the event. It contains the numerical value and the currency. All loss values correspond to the date of the event; no adjustment for inflation has been applied.





infrastructure



String



A description of major infrastructure damage.





agriculture



String



A description of damages that affected the agriculture sector (e.g., farms, crops) caused by the event.





fisheries



String



A description of damages that affected the fisheries (e.g., fish population) caused by the event.





tourism



String



A description of the consequences on the tourism sector caused by the event.





public_health



String



A description of consequences on public health caused by the event(e.g., hospitalization due to illnesses, water contamination, psychological impacts).





sources



Array[String]



The exact source(s) from which the event information was extracted.





key



String



A unique event identifier used for internal parsing and referencing.






 

Locations Data

As seen in the events schema, a list of locations(countries, areas_affected) is related with it. Geojson data is collected for the locations mentioned in the events.json file and it is stored in the locations.json file.








Field



Datatype



Description





key



String



The key to a location





name



String



The name of a location





region



String



The region the location belongs to





country



String



The country the location belongs to





coordinates



Dict[type, coordinates]



GeoJSON feature for coordinates. The type field’s value is Point





polygon



Dict[type, coordinates]



Geojson feature for polygon, the type field’s value is either Polygon or MultiPolygon





multiline



Dict[type, coordinates]



Geojson feature for multiline. The type field’s value is either LineString or MultiLinestring.





Event Location Association Table

Each event is associated with a list of locations. This association is done through the event_location.json file.








Field



Datatype



Description





event_key



String



The key to an event





location_key



String



The key to the corresponding location





 

For more info email at piraptis@wtoc.eu