cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18780449
title: Vulnerability Functions for Coastal Flood Risk Assessment in İzmir (Türkiye): Depth–Damage Curves and Maximum Damage Values

description: This dataset contains vulnerability functions used to estimate economic losses from coastal flooding in İzmir under CLIMAAX Project.

Vulnerability defines how susceptible exposed assets are to damage as a function of flood depth.

Contents





JRC depth–damage curves (JRC_damage_curves.csv)




LUISA land-use damage curves (LUISA_damage_info_curves_izmir.xlsx)




Maximum damage values per land-use class (maxdam_luisa.csv)



Methodological Role

For each land-use class:





Flood depth is intersected with land-use raster.




Corresponding damage ratio is obtained from depth–damage curves.




Economic loss is computed using maximum damage per m².
DOI: 10.25549/maw-ouc1sto1875711
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1876001
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1876005
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875713
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875647
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875706
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875594
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc113890624
title: Standing figure : male

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc113890726
title: Standing figure : male

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.15468/dl.rjerua
title: Occurrence Download

description: A dataset containing 1179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Cambodia, Indonesia, Thailand, Myanmar, Viet Nam, Timor-Leste)",
 "TaxonKey is Bos javanicus"
 ]
}

 The dataset includes 1179 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001459-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/maw-ouc113890635
title: Standing figure : male

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.5281/zenodo.18781208
title: River Flood Hazard Assessment for İzmir (Türkiye): LISFLOOD-FP Simulations for 2–500 Year Return Periods under Climate Change (CRIZ-ERS)

description: This dataset contains the river flood hazard assessment for İzmir Province developed under the CLIMAAX project.

The hazard modelling is based on:





Design rainfall maps (2, 10, 25, 50, 100, 500-year return periods)




Climate-adjusted rainfall (RCP 8.5 / SSP5-8.5)




15 m resolution DEM




Manning’s roughness derived from ESA WorldCover




2D hydrodynamic modelling using LISFLOOD-FP



Included Data





Design rainfall maps (GeoTIFF & NetCDF)




LISFLOOD-FP model configuration files




Flood depth rasters (m)




Climate-adjusted flood depth maps




Reclassified flood rasters




Flood depth polygons




Hazard visualisation plots



Output Variable





Maximum water depth (meters)



Return Periods

2, 10, 25, 50, 100, 500 years

Coordinate System

EPSG:32635 (UTM Zone 35N)

File Content

01_River_Flooding_Hazard_Assessment.ipynbJupyter Notebook containing the complete river flood hazard modelling workflow using LISFLOOD-FP for multiple return periods and climate scenarios.

data_izmir.zipInput geospatial data for hazard modelling, including DEM, land cover, and water body mask layers for the İzmir study area.

Design_Rainfall.zipDesign rainfall maps (GeoTIFF and NetCDF) for 2–500 year return periods under baseline and RCP 8.5 climate scenarios.

LISFLOOD_FP_Model.zipLISFLOOD-FP model setup files, including DEM (ASCII), Manning’s roughness grid, parameter (.par) files, rainfall inputs, and model configuration files.

Plots.zipFigures and visual outputs generated from the river flood hazard assessment, including rainfall maps and flood depth visualisations.

Water_Depth_Polygon.zipVectorised flood extent polygons derived from modelled maximum water depth for multiple return periods and scenarios.

Water_Depth_Raster.zipFlood depth rasters (meters) produced from LISFLOOD-FP simulations for baseline and climate-adjusted scenarios.
DOI: 10.25549/maw-ouc113890731
title: Standing figure : male

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.15468/dl.t9ugwc
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bos sauveli"
 ]
}

 The dataset includes 21 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001460-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18781207
title: River Flood Hazard Assessment for İzmir (Türkiye): LISFLOOD-FP Simulations for 2–500 Year Return Periods under Climate Change (CRIZ-ERS)

description: This dataset contains the river flood hazard assessment for İzmir Province developed under the CLIMAAX project.

The hazard modelling is based on:





Design rainfall maps (2, 10, 25, 50, 100, 500-year return periods)




Climate-adjusted rainfall (RCP 8.5 / SSP5-8.5)




15 m resolution DEM




Manning’s roughness derived from ESA WorldCover




2D hydrodynamic modelling using LISFLOOD-FP



Included Data





Design rainfall maps (GeoTIFF & NetCDF)




LISFLOOD-FP model configuration files




Flood depth rasters (m)




Climate-adjusted flood depth maps




Reclassified flood rasters




Flood depth polygons




Hazard visualisation plots



Output Variable





Maximum water depth (meters)



Return Periods

2, 10, 25, 50, 100, 500 years

Coordinate System

EPSG:32635 (UTM Zone 35N)

File Content

01_River_Flooding_Hazard_Assessment.ipynbJupyter Notebook containing the complete river flood hazard modelling workflow using LISFLOOD-FP for multiple return periods and climate scenarios.

data_izmir.zipInput geospatial data for hazard modelling, including DEM, land cover, and water body mask layers for the İzmir study area.

Design_Rainfall.zipDesign rainfall maps (GeoTIFF and NetCDF) for 2–500 year return periods under baseline and RCP 8.5 climate scenarios.

LISFLOOD_FP_Model.zipLISFLOOD-FP model setup files, including DEM (ASCII), Manning’s roughness grid, parameter (.par) files, rainfall inputs, and model configuration files.

Plots.zipFigures and visual outputs generated from the river flood hazard assessment, including rainfall maps and flood depth visualisations.

Water_Depth_Polygon.zipVectorised flood extent polygons derived from modelled maximum water depth for multiple return periods and scenarios.

Water_Depth_Raster.zipFlood depth rasters (meters) produced from LISFLOOD-FP simulations for baseline and climate-adjusted scenarios.
DOI: 10.25549/maw-ouc113890631
title: Standing figure: male

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.5281/zenodo.18781326
title: River Flood Risk Assessment for İzmir (Türkiye): Building Damage, Exposed Population, and Infrastructure Impacts  (CRIZ-ERS)

description: This dataset contains the river flood risk assessment for İzmir Province developed under the CLIMAAX project.

This dataset contains the final river flood risk assessment outputs for İzmir Province.

Included Data

Building Risk





Building-level water depth




Building damage layers (GeoPackage)




Damage summaries per return period



Population Risk





Exposed population rasters




Displaced population rasters



Infrastructure Risk





Flood depth intersected with schools and hospitals




Critical infrastructure impact maps



Return Periods

10, 50, 100, 500 years(Baseline and RCP 8.5 scenarios)

Output Units





Water depth: meters




Population: number of persons




Economic damage: derived from damage curves



File Contetns : 

01_River_Flooding_Riskd_Assessment.ipynbJupyter Notebook containing the river flood risk assessment workflow, integrating hazard, exposure, and vulnerability to estimate impacts and damages.

DamageBuildings.zipBuilding-level economic damage layers derived from flood depth and depth–damage functions for multiple return periods.

ExposePopulation.zipRaster layers of exposed and displaced population calculated by intersecting flood depth with population distribution data.

WaterDepthBuildings.zipBuilding-level water depth layers obtained by intersecting flood hazard rasters with building footprints.

exposure_data.zipExposure layers used in the risk assessment, including building footprints, population raster, and critical infrastructure datasets.

Plots.zipFigures and visual outputs generated from the river flood risk assessment, including damage maps, population impact maps, and infrastructure impact visualisations.
DOI: 10.25549/maw-ouc11399coqn
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.5281/zenodo.18781325
title: River Flood Risk Assessment for İzmir (Türkiye): Building Damage, Exposed Population, and Infrastructure Impacts  (CRIZ-ERS)

description: This dataset contains the river flood risk assessment for İzmir Province developed under the CLIMAAX project.

This dataset contains the final river flood risk assessment outputs for İzmir Province.

Included Data

Building Risk





Building-level water depth




Building damage layers (GeoPackage)




Damage summaries per return period



Population Risk





Exposed population rasters




Displaced population rasters



Infrastructure Risk





Flood depth intersected with schools and hospitals




Critical infrastructure impact maps



Return Periods

10, 50, 100, 500 years(Baseline and RCP 8.5 scenarios)

Output Units





Water depth: meters




Population: number of persons




Economic damage: derived from damage curves



File Contetns : 

01_River_Flooding_Riskd_Assessment.ipynbJupyter Notebook containing the river flood risk assessment workflow, integrating hazard, exposure, and vulnerability to estimate impacts and damages.

DamageBuildings.zipBuilding-level economic damage layers derived from flood depth and depth–damage functions for multiple return periods.

ExposePopulation.zipRaster layers of exposed and displaced population calculated by intersecting flood depth with population distribution data.

WaterDepthBuildings.zipBuilding-level water depth layers obtained by intersecting flood hazard rasters with building footprints.

exposure_data.zipExposure layers used in the risk assessment, including building footprints, population raster, and critical infrastructure datasets.

Plots.zipFigures and visual outputs generated from the river flood risk assessment, including damage maps, population impact maps, and infrastructure impact visualisations.
DOI: 10.15468/dl.jf2seh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphenodontia",
 "OccurrenceStatus is Present",
 "Geometry MULTIPOLYGON (((17.9655 -33.0495, 17.9761 -33.0464, 17.9735 -33.037, 17.9604 -33.0392, 17.9655 -33.0495)), ((19.8935 -28.4417, 19.8797 -28.4406, 19.8825 -28.4563, 19.9499 -28.4947, 19.9727 -28.576, 19.9801 -28.5689, 20.016 -28.5857, 20.1261 -28.6013, 20.1466 -28.5981, 20.1955 -28.6182, 20.218 -28.6146, 20.2872 -28.6286, 20.3023 -28.608, 20.335 -28.6106, 20.3455 -28.6287, 20.36 -28.6146, 20.3767 -28.6263, 20.3802 -28.5779, 20.3917 -28.5855, 20.4067 -28.5833, 20.3961 -28.4472, 20.3772 -28.4413, 20.3442 -28.4025, 20.3378 -28.4071, 20.3323 -28.5191, 20.3034 -28.5103, 20.2618 -28.5129, 20.237 -28.5196, 20.2345 -28.531, 20.2061 -28.5141, 20.1907 -28.5203, 20.1821 -28.5089, 20.0986 -28.4666, 20.0846 -28.4632, 20.0787 -28.4732, 20.069 -28.4707, 20.0697 -28.4604, 20.0474 -28.4487, 20.0246 -28.4435, 20.0156 -28.458, 20.0032 -28.4548, 19.996 -28.4485, 20.0011 -28.4318, 19.9849 -28.4219, 19.8935 -28.4417)), ((24.4522 -28.7246, 24.4655 -28.7207, 24.4586 -28.6859, 24.4809 -28.6496, 24.4476 -28.6305, 24.4075 -28.6218, 24.4115 -28.7242, 24.4522 -28.7246)), ((23.5792 -33.9794, 23.571 -33.9833, 23.5746 -34.0381, 23.6474 -34.0353, 24.1991 -34.1117, 24.1957 -34.0545, 23.9951 -34.0323, 23.9044 -34.013, 23.8928 -34.0195, 23.8491 -34.0146, 23.7781 -34.0028, 23.7684 -33.9931, 23.7617 -33.9975, 23.6479 -33.9744, 23.5792 -33.9794)), ((17.0374 -29.1369, 16.9611 -29.137, 16.9182 -29.1393, 16.9086 -29.2218, 16.96 -29.2344, 17.0373 -29.2287, 17.0655 -29.2682, 17.1013 -29.2487, 17.1375 -29.1722, 17.0374 -29.1369)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001461-260226173443078/datasets/export for details.
DOI: 10.25549/maw-ouc1sto1875217
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875309
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.15468/dl.q9etet
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Plectorhinchus chubbi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001463-260226173443078/datasets/export for details.
DOI: 10.25549/maw-ouc1sto1875872
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc1sto1875260
title: MAW Collection

description: Artifacts from South America, Mesoamerica, Central America, Southwest America, and Midwest America.
DOI: 10.25549/maw-ouc113889685
title: Chupicuaro olla

description: A tall cylindrical neck olla has a funnel mouth and a flared rim. The body has been squared with rounded corners. The body has been painted with an anthropomorphic/geometric design.
DOI: 10.25549/maw-ouc113889607
title: Chupicuaro tripodal bowl

description: A large ceramic bowl stands on tripodal vented, conical legs. The interior has a four-quadrant herringbone design.
DOI: 10.5281/zenodo.18781478
title: Exposure Layers for River Flood Risk Assessment in İzmir (Türkiye): Buildings, Population, and Critical Infrastructure (CRIZ-ERS)

description: This dataset contains exposure layers used in the river flood risk assessment for İzmir under CLIMAA Project.

Exposure represents elements located within flood-prone areas. 

Included Data

Buildings





Buildings.gpkg



Building footprints used to estimate structural exposure and building-level impacts.

Population





izmir_population_raster.tifGridded total population raster used to estimate exposed and displaced population.



Critical Infrastructure (POIs)

egitim_anaokulu.geojsonLocations of kindergarten facilities within the İzmir study area.

egitim_ilkokul.geojsonLocations of primary schools within the İzmir study area.

egitim_ortaokul.geojsonLocations of secondary (middle) schools within the İzmir study area.

egitim_lise.geojsonLocations of high schools within the İzmir study area.

egitim_universite.geojsonLocations of universities within the İzmir study area.

schools.geojsonCombined school locations dataset used for infrastructure exposure analysis.

university.geojsonUniversity locations used for flood exposure assessment.

hospitals.geojsonHospital locations used to assess flood impacts on healthcare services.

saglik_hastaneler.geojsonHealth facility locations (hospitals and related medical centers) within the study area.

ilceler.geojsonAdministrative district boundaries used for spatial aggregation and reporting.

extent.gpkgStudy area boundary defining the spatial extent of the river flood risk assessment.
DOI: 10.5281/zenodo.18781479
title: Exposure Layers for River Flood Risk Assessment in İzmir (Türkiye): Buildings, Population, and Critical Infrastructure (CRIZ-ERS)

description: This dataset contains exposure layers used in the river flood risk assessment for İzmir under CLIMAA Project.

Exposure represents elements located within flood-prone areas. 

Included Data

Buildings





Buildings.gpkg



Building footprints used to estimate structural exposure and building-level impacts.

Population





izmir_population_raster.tifGridded total population raster used to estimate exposed and displaced population.



Critical Infrastructure (POIs)

egitim_anaokulu.geojsonLocations of kindergarten facilities within the İzmir study area.

egitim_ilkokul.geojsonLocations of primary schools within the İzmir study area.

egitim_ortaokul.geojsonLocations of secondary (middle) schools within the İzmir study area.

egitim_lise.geojsonLocations of high schools within the İzmir study area.

egitim_universite.geojsonLocations of universities within the İzmir study area.

schools.geojsonCombined school locations dataset used for infrastructure exposure analysis.

university.geojsonUniversity locations used for flood exposure assessment.

hospitals.geojsonHospital locations used to assess flood impacts on healthcare services.

saglik_hastaneler.geojsonHealth facility locations (hospitals and related medical centers) within the study area.

ilceler.geojsonAdministrative district boundaries used for spatial aggregation and reporting.

extent.gpkgStudy area boundary defining the spatial extent of the river flood risk assessment.
DOI: 10.25549/maw-ouc113889689
title: Chupicuaro tripodal bowl

description: A large ceramic bowl stands on tripodal vented, conical legs. The interior has a four-quadrant herringbone design.
DOI: 10.25549/maw-ouc113985249
title: Standing female figure : with diamond eyes and belly flap

description: Small figurines can illustrate concepts of beauty. The arm bumps could be jewelry or they were created by cutting the skin and rubbing a substance into the wound. Indigenous skin forms a swollen scar when healed. These scars represent a beauty concept and/or a rite of passage. The belly flap indicates childbirth.
DOI: 10.25549/maw-ouc113985223
title: Standing pretty lady figurine

description: This little "pretty lady" shows the fashion of the day; a flat headdress, ear flares or spools and a feathered necklace. Her swollen belly indicates pregnancy and fertility
DOI: 10.25549/maw-ouc113985229
title: Standing pretty lady figurine

description: This little "pretty lady" shows the fashion of the day; a flat headdress, ear flares or spools and a feathered necklace. Her swollen belly indicates pregnancy and fertility
DOI: 10.5281/zenodo.18782268
title: Heatwave Hazard Assessment for İzmir (Türkiye): CMIP6 Ensemble-Based Heatwave Detection under SSP245 and SSP585 -  (CRIZ-ERS)

description: This dataset contains the heatwave hazard assessment for İzmir Metropolitan Area developed under the CLIMAAX project.

Heatwave events were detected using daily minimum and maximum temperature projections from the NASA NEX-GDDP-CMIP6 dataset. Multi-model ensemble median data were used for SSP245 and SSP585 scenarios.

Heatwaves are defined as ≥5 consecutive days during June–August where both Tmin and Tmax exceed the 90th percentile of the 1980–2010 baseline period.

The dataset includes ensemble climate data, detected heatwave statistics, and visual outputs.

File-Level Descriptions

Climate_Data.zip - Ensemble temperature datasets used for heatwave detection.

tasmin_median_ssp245.ncEnsemble median daily minimum temperature (°C) for SSP245 scenario.

tasmax_median_ssp245.ncEnsemble median daily maximum temperature (°C) for SSP245 scenario.

tasmin_median_ssp585.ncEnsemble median daily minimum temperature (°C) for SSP585 scenario.

tasmax_median_ssp585.ncEnsemble median daily maximum temperature (°C) for SSP585 scenario.

Heatwave_stats_result.zip - All heatwave statistics outputs.

Contains heatwave detection outputs for selected İzmir districts under SSP245 and SSP585. For each district (Balçova, Bornova, Çeşme, Gaziemir, Karşıyaka, Konak):

daily_data_with_heatwaves_*.csvDaily JJA temperature series with heatwave flags.

heatwave_events_*.csvIdentified heatwave events including start date, end date, duration, and temperature statistics.

heatwave_annual_frequency_*.csvAnnual number of heatwave events.

heatwave_statistics_summary_*.csvSummary statistics including total events, total heatwave days, mean duration, and maximum duration.

Plots.zipAll heatwave hazard visual outputs. Visualisation per district showing temperature time series, percentile thresholds, annual frequency, and event duration.

heatwave_hazard_analysis.ipynbInteractive Jupyter Notebook implementing the full heatwave hazard workflow.