Automated Author Profile

Palaiologos, Konstantinos

Web To Climate (WTOC)

Current S-Index

0.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

78.8%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Oceanids Related Events (Version: v1)

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.jsonlocations.jsonevent_location.jsonEvents dataEvents.json file includes a list of events and their corresponding data. The schema of the data is as follows:FieldData TypeDescriptionevent_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.).nameStringThe designated name of the event.start_dateISO-8601 StringThe start date of the event in YYYY-MM-DD format.end_dateISO-8601 StringThe end date of the event in YYYY-MM-DD format (e.g., for hurricanes, this is the date of dissipation).countriesArray[String]The list of countries that were directly affected by the event.areas_affectedArray[String]The list of specific subnational areas (e.g., provinces, states, districts, cities) that were directly impacted by the event.fatalitiesIntegerThe number of confirmed fatalities caused by the event.people_injuredIntegerThe number of people who sustained non-fatal injuries due to the event.people_displacedIntegerThe number of people who were forced to leave their homes or shelters due to the event.people_affectedIntegerThe number of people who experienced negative consequences from the event (property damage, health impacts, or loss of access to essential services).lossesStringThe 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.infrastructureStringA description of major infrastructure damage.agricultureStringA description of damages that affected the agriculture sector (e.g., farms, crops) caused by the event.fisheriesStringA description of damages that affected the fisheries (e.g., fish population) caused by the event.tourismStringA description of the consequences on the tourism sector caused by the event.public_healthStringA description of consequences on public health caused by the event(e.g., hospitalization due to illnesses, water contamination, psychological impacts).sourcesArray[String]The exact source(s) from which the event information was extracted.keyStringA unique event identifier used for internal parsing and referencing. Locations DataAs 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.FieldDatatypeDescriptionkeyStringThe key to a locationnameStringThe name of a locationregionStringThe region the location belongs tocountryStringThe country the location belongs tocoordinatesDict[type, coordinates]GeoJSON feature for coordinates. The type field’s value is PointpolygonDict[type, coordinates]Geojson feature for polygon, the type field’s value is either Polygon or MultiPolygonmultilineDict[type, coordinates]Geojson feature for multiline. The type field’s value is either LineString or MultiLinestring.Event Location Association TableEach event is associated with a list of locations. This association is done through the event_location.json file.FieldDatatypeDescriptionevent_keyStringThe key to an eventlocation_keyStringThe key to the corresponding location For more info email at [email protected]

Authors

  • Lampropoulos, Georgios ;
  • Palaiologos, Konstantinos ;
  • Raptis, Panagiotis Ioannis
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.172333522025

Oceanids Related Events (Version: v1)

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.jsonlocations.jsonevent_location.jsonEvents dataEvents.json file includes a list of events and their corresponding data. The schema of the data is as follows:FieldData TypeDescriptionevent_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.).nameStringThe designated name of the event.start_dateISO-8601 StringThe start date of the event in YYYY-MM-DD format.end_dateISO-8601 StringThe end date of the event in YYYY-MM-DD format (e.g., for hurricanes, this is the date of dissipation).countriesArray[String]The list of countries that were directly affected by the event.areas_affectedArray[String]The list of specific subnational areas (e.g., provinces, states, districts, cities) that were directly impacted by the event.fatalitiesIntegerThe number of confirmed fatalities caused by the event.people_injuredIntegerThe number of people who sustained non-fatal injuries due to the event.people_displacedIntegerThe number of people who were forced to leave their homes or shelters due to the event.people_affectedIntegerThe number of people who experienced negative consequences from the event (property damage, health impacts, or loss of access to essential services).lossesStringThe 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.infrastructureStringA description of major infrastructure damage.agricultureStringA description of damages that affected the agriculture sector (e.g., farms, crops) caused by the event.fisheriesStringA description of damages that affected the fisheries (e.g., fish population) caused by the event.tourismStringA description of the consequences on the tourism sector caused by the event.public_healthStringA description of consequences on public health caused by the event(e.g., hospitalization due to illnesses, water contamination, psychological impacts).sourcesArray[String]The exact source(s) from which the event information was extracted.keyStringA unique event identifier used for internal parsing and referencing. Locations DataAs 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.FieldDatatypeDescriptionkeyStringThe key to a locationnameStringThe name of a locationregionStringThe region the location belongs tocountryStringThe country the location belongs tocoordinatesDict[type, coordinates]GeoJSON feature for coordinates. The type field’s value is PointpolygonDict[type, coordinates]Geojson feature for polygon, the type field’s value is either Polygon or MultiPolygonmultilineDict[type, coordinates]Geojson feature for multiline. The type field’s value is either LineString or MultiLinestring.Event Location Association TableEach event is associated with a list of locations. This association is done through the event_location.json file.FieldDatatypeDescriptionevent_keyStringThe key to an eventlocation_keyStringThe key to the corresponding location For more info email at [email protected]

Authors

  • Lampropoulos, Georgios ;
  • Palaiologos, Konstantinos ;
  • Raptis, Panagiotis Ioannis
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.172333532025