cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10629443
title: HANZE catalogue of modelled and historical floods in Europe, 1950-2020

description: The HANZE dataset covers riverine, pluvial, coastal and compound floods that have occurred in 42 European countries. It contains:



2521 historical floods with impact data (1870-2020);

237 further historical floods with significant impacts, but without precise impact data (1950-2020)

Nearly 15,000 modelled floods with a potential to cause significant impacts, classified by actual historical occurrence or non-occurrence impacts (1950-2020).


Historical floods and the classification of modelled floods was completed by extensive data-collection from more than 900 sources ranging from news reports through government databases to scientific papers. Impact data collected or modelled include area inundated, fatalities, persons affected or economic loss. Economic losses were inflation- and exchange-rate adjusted to 2020 value of the euro. The historical catalogue (lsit A) also includes losses in the original currencies and price levels. The spatial footprint of affected areas is consistently recorded using more than 1400 subnational units corresponding, with minor exceptions, to the European Union’s Nomenclature of Territorial Units for Statistics (NUTS), level 3. Apart from the possibility to download the data, the database can be viewed, filtered and visualized online: https://naturalhazards.eu. 

The dataset contains the following files (CSV comma-delimited, UTF8, and ESRI shapefiles in zipped folders):

HANZE_historical_floods_catalogue_listA.csv - historical floods with impact data (1870-2020)

HANZE_historical_floods_catalogue_listB.csv - historical floods without impact data (1950-2020)

HANZE_potential_flood_catalogue_all.csv - modelled potential floods (1950-2020)

HANZE_list_of_references.csv - List of all references used in the catalogues

HANZE_model_completness_analysis.csv - Comparison between modelled and reported footprints of historical floods

HANZE_events_regions_2010.zip - Flood event data as GIS file (regions v2010)

HANZE_events_regions_2021.zip - Flood event data as GIS file (regions v2021)
DOI: 10.5281/zenodo.10640692
title: HANZE catalogue of modelled flood footprints in Europe, 1950-2020

description: The dataset covers potential modelled riverine, coastal and compound floods that have occurred in 42 European countries. Nearly 15,000 modelled floods with a potential to cause significant impacts, classified by actual historical occurrence or non-occurrence impacts (1950-2020).

This dataset contains the modelled flood footprints as vector files per event. The tabular data and supplementary information is available in another Zenodo repository (https://dx.doi.org/10.5281/zenodo.10629443). 

The naming of the files  is according to the following scheme:

Event_M_C_Y_T.*

where:

M is the unique event identifier

C is the two-letter country code

Y is the year when the event began

T is the type of event
DOI: 10.5281/zenodo.6783023
title: HANZE v2.0 exposure model input data

description: This dataset provides all input data needed to run HANZE v2.0 model. The two ZIP files need to be downloaded and unpacked in the same directory, which has to be defined in "get_file.py" (variable "main_path" at the beginning of the file). For detailed description of the files, see the documentation provided with the code.
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.5281/zenodo.11259233
title: HANZE database of historical flood impacts in Europe, 1870-2020

description: The HANZE dataset covers riverine, pluvial, coastal and compound floods that have occurred in 42 European countries between 1870 and 2020. The data was collected by extensive data-collection from more than 800 sources ranging from news reports through government databases to scientific papers. The dataset includes 2521 events characterized by at least one impact statistic: area inundated, fatalities, persons affected or economic loss. Economic losses are presented both in the original currencies and price levels as well as inflation and exchange-rate adjusted to 2020 value of the euro. The spatial footprint of affected areas is consistently recorded using more than 1400 subnational units corresponding, with minor exceptions, to the European Union’s Nomenclature of Territorial Units for Statistics (NUTS), level 3. Daily start and end dates, information on causes of the event, notes on data quality issues or associated non-flood impacts, and full bibliography of each record supplement the dataset. Apart from the possibility to download the data, the database can be viewed, filtered and visualized online: https://naturalhazards.eu. The dataset is designed to be complimentary to HANZE-Exposure, a high-resolution model of historical exposure changes (such as population and asset value), and be easily usable in statistical and spatial analyses.

The dataset contains the following files (CSV comma-delimited, UTF8, and ESRI shapefiles in zipped folders)

HANZE flood events database   

HANZE_events.csv - Flood event data

HANZE_references.csv - List of all references

HANZE_events_regions_2010.zip - Flood event data as GIS file (regions v2010)

HANZE_events_regions_2021.zip - Flood event data as GIS file (regions v2021)

Supplementary data      

S1_countries_codes_and_names.csv - Country codes/names

S2_regions_codes_and_names_v2010.csv - Region codes/names, v2010

S3_regions_codes_and_names_v2021.csv - Region codes/names, v2021

S4_list_of_all_currencies_by_country.csv - Data on all currencies used in the study area since 1870

S5_currency_conversion_rates.csv - Conversion rates applied to compute losses in 2020 euros

S6_GDP_deflators_by_country.csv - Gross domestic product deflator by country, 1870-2020

S7_floods_removed_from_HANZE.csv - Flood events in HANZE v1, which were excluded from v2

Regions_v2010_simplified.zip - Map of subnational regions used in the database, v2010

Regions_v2021_simplified.zip - Map of subnational regions used in the database, v2021

 

Note: this is a minor update of the original upload. It corrects the erroneous rendering of NUTS regions for event 2751, fixes some geometry problems with the GIS files and makes some small changes to the flood data (2 events were added and the regional codes for Kosovo in version 2021 were modified based on the upcoming NUTS 2024 classification).
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.5281/zenodo.6573503
title: Residential exposure to natural hazards in Europe, 2000–2020

description: This dataset provides average national-level current gross replacement costs of the stock of residential assets (buildings and household contents) per m<sup>2</sup> of useful floor space. The dataset includes annual time series (2000–2020) for 33 European countries, in nominal and real prices. It is intended for application in microscale disaster models by enabling approximation of the monetary value of individual buildings exposed to hazards, especially floods, for which damage functions often distinguish between vulnerability of the building structure and contents inside.
description: The dataset is a revision and update of the dataset originally described in Paprotny et al. (2020). This update was possible through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), supported by the German Research Foundation (DFG), project no. 449175973.
description: {"references": ["6.\tPaprotny D., Kreibich H., Morales N\u00e1poles O., Terefenko P., Schr\u00f6ter K. 2020. Estimating exposure of residential assets to natural hazards in Europe using open data. Natural Hazards and Earth System Sciences 20, 323\u2013343. doi:10.5194/nhess-20-323-2020"]}
DOI: 10.5281/zenodo.7885990
title: Pan-European exposure maps and uncertainty estimates from HANZE v2.0 model, 1870-2020

description: This dataset provides all output data generated in the standard settings of HANZE v2.0 model. The 100-m pan-European maps (GeoTIFF) provide gridded totals of five variables for years 1870-2020 for 42 countries. The rasters are group in five ZIP files: - CLC: land cover/use (Corine Land Cover classification; legend files are included in a separate ZIP) - Pop: population - GDP: gross domestic product (2020 euros) - FA: fixed asset value (2020 euros) - imp: imperviousness density (%) Two additional CSV files contain uncertainty estimates of population, GDP and fixed asset value per NUTS3 region and flood hazard zone. The files provide 5th, 20th, 50th, 80th and 95th percentile for all timesteps, separately for coastal and riverine floods. Two further Excel files contain subnational and national-level statistical data on population, land use and economic variables. For detailed description of the files, see the documentation provided with the code. This version replaces the airport list, which was previously incorrectly taken from HANZE v1, and adds land cover/use legend files for ArcGIS and QGIS.
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.5281/zenodo.10630862
title: HANZE v2.2 flood impact model input data

description: This dataset provides input data needed to run HANZE v2.2 model. The ZIP files need to be downloaded and unpacked in the same directory, which has to be defined in "get_file.py" of the HANZE model (variable "repo_path" at the beginning of the file).
DOI: 10.5281/zenodo.10911515
title: HANZE v2.3 flood impact model input data

description: This dataset provides input data needed to run HANZE v2.3 model. The ZIP files need to be downloaded and unpacked in the same directory, which has to be defined in "get_file.py" of the HANZE model (variable "repo_path" at the beginning of the file).
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.5281/zenodo.10943896
title: HANZE catalogue of modelled flood footprints in Europe, 1950-2020

description: The dataset covers potential modelled riverine, coastal and compound floods that have occurred in 42 European countries. Nearly 15,000 modelled floods with a potential to cause significant impacts, classified by actual historical occurrence or non-occurrence impacts (1950-2020).

This dataset contains the modelled flood footprints as vector files per event. The tabular data and supplementary information is available in another Zenodo repository (https://dx.doi.org/10.5281/zenodo.10629443). 

The naming of the files  is according to the following scheme:

Event_M_C_Y_T.*

where:

M is the unique event identifier

C is the two-letter country code

Y is the year when the event began

T is the type of event

 

Note: this version of the dataset includes coastal events mistakenly omitted from the original upload
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.5281/zenodo.12635205
title: HANZE catalogue of modelled and historical floods in Europe, 1950-2020

description: The HANZE dataset covers riverine, pluvial, coastal and compound floods that have occurred in 42 European countries. It contains:



2521 historical floods with impact data (1870-2020);

237 further historical floods with significant impacts, but without precise impact data (1950-2020)

Nearly 15,000 modelled floods with a potential to cause significant impacts, classified by actual historical occurrence or non-occurrence impacts (1950-2020).


Historical floods and the classification of modelled floods was completed by extensive data-collection from more than 900 sources ranging from news reports through government databases to scientific papers. Impact data collected or modelled include area inundated, fatalities, persons affected or economic loss. Economic losses were inflation- and exchange-rate adjusted to 2020 value of the euro. The historical catalogue (lsit A) also includes losses in the original currencies and price levels. The spatial footprint of affected areas is consistently recorded using more than 1400 subnational units corresponding, with minor exceptions, to the European Union’s Nomenclature of Territorial Units for Statistics (NUTS), level 3. Apart from the possibility to download the data, the database can be viewed, filtered and visualized online: https://naturalhazards.eu. 

The dataset contains the following files (CSV comma-delimited, UTF8, and ESRI shapefiles in zipped folders):

HANZE_historical_floods_catalogue_listA.csv - historical floods with impact data (1870-2020)

HANZE_historical_floods_catalogue_listB.csv - historical floods without impact data (1950-2020)

HANZE_potential_flood_catalogue_all.csv - modelled potential floods (1950-2020)

HANZE_list_of_references.csv - List of all references used in the catalogues

HANZE_model_completness_analysis.csv - Comparison between modelled and reported footprints of historical floods

Regions_v2010_simplified.zip - Map of subnational regions (v2010)

Regions_v2021_simplified.zip - Map of subnational regions (regions v2021)

 

v1.2: corrected NUTS regions v2021 for a few events, which were accidently coded with v2010 regions.

v1.1: errors in two records in "HANZE_historical_floods_catalogue_listB.csv" (wrong country code in event ID 8227 and wrong start date in event ID 8237) were corrected.
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.5281/zenodo.10911302
title: Flood protection and vulnerability estimates for Europe, 1950-2020

description: This dataset provides estimates of flood protection levels and flood vulnerability at scale of 1422 subnational regions of 42 European countries over the period 1950–2020. Estimates are based on a set of vine-copula models quantified with data on flood impacts from the HANZE catalogue.

The dataset contains two ZIP files with a total of five shapefiles, each containing a "Code" column with the code of the subnational region (based mainly on EU's NUTS3, v2010 classification) and other column estimates per each year between 1950 and 2020.



NUTS3_Flood_Protection_coast: estimated flood protection level from coastal floods, as average return period in years between occurrence of significant flood impacts;

NUTS3_Flood_Protection_riverine: as above, but for riverine floods;

NUTS3_Vulnerability_Fat_comb: estimated actual fatalities from an hypothetical average flood, as % of potential impact under assumption of a static depth-fatality function and no flood protection within region (S-shaped function shown in Jonkman et al. 2008, https://doi.org/10.1007/s11069-008-9227-5)

NUTS3_Vulnerability_Pop_aff: estimated actual population affected from an hypothetical average flood, as % of exposed population under assumption of no flood protection within region

NUTS3_Vulnerability_Eco_less: estimated actual direct economic loss (damage to assets) from an hypothetical average flood, as % of potential impact under assumption of static depth-damage functions (from Huizinga et al. 2017, https://doi.org/10.2760/16510) and no flood protection within region.


Detailed methodology is explained in the underlying publication. Code and data to reproduce the results are also available on Zenodo (see "Related works").

Data can be also viewed on https://naturalhazards.eu/
DOI: 10.5281/zenodo.13150102
title: HANZE v2.4 flood impact model input data

description: This dataset provides input data needed to run HANZE v2.4 model. The ZIP files need to be downloaded and unpacked in the same directory, which has to be defined in "get_file.py" of the HANZE model (variable "repo_path" at the beginning of the file).
description: This work was supported by the German Research Foundation (DFG) through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), project no. 449175973
DOI: 10.48597/cc5k-d6md
title: Measurement of VOC (hydrocarbons) at Schmücke

description: Measurement of VOC (hydrocarbons) at Schmücke
DOI: 10.15468/dl.upxx6w
title: Occurrence Download

description: A dataset containing 352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Gelidium corneum (Huds.) J.V.Lamour."
 ]
}

 The dataset includes 352 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020896-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/uu3k-4hkz
title: Measurement of VOC (hydrocarbons) at Neuglobsow

description: Measurement of VOC (hydrocarbons) at Neuglobsow
DOI: 10.5518/1018
title: Data associated with 'Modeling of sorption enhanced steam methane reforming in an adiabatic packed bed reactor using various CO2 sorbents'

description: Raw data for all figures in the associated paper 'Modeling of sorption enhanced steam methane reforming in an adiabatic packed bed reactor using various CO2 sorbents'
DOI: 10.15468/dl.sy74rn
title: Occurrence Download

description: A dataset containing 114571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopochen aegyptiaca (Linnaeus, 1766)",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 114571 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020883-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwutyz
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eudrilus eugeniae (Kinberg, 1866)"
 ]
}

 The dataset includes 199 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020897-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kueub3
title: Occurrence Download

description: A dataset containing 676905 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium palustre (L.) Scop."
 ]
}

 The dataset includes 676905 records from 2023 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020886-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26179/5d5a238f9ed86
title: Sterechinus neumayeri fertilisation and larval development toxicity tests
DOI: 10.15468/dl.zxfj7p
title: Occurrence Download

description: A dataset containing 929280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmotherula iheringi E.Snethlage, 1914, Myrmotherula longipennis Pelzeln, 1868, Myrmotherula menetriesii (Orbigny, 1837), Myrmotherula pacifica Hellmayr, 1911, Myrmotherula schisticolor (Lawrence, 1865), Myrmotherula unicolor (Ménétriés, 1835), Myrtis fanny (R.Lesson, 1838), Mystacornis crossleyi (A.Grandidier, 1870), Myzomela adolphinae Salvadori, 1876, Myzomela caledonica W.A.Forbes, 1879, Myzomela cardinalis (J.F.Gmelin, 1788), Myzomela chermesina G.R.Gray, 1846, Myzomela eques (R.Lesson & Garnot, 1827), Myzomela erythrocephala Gould, 1840, Myzomela erythromelas Salvadori, 1881, Myzomela jugularis Peale, 1849, Myzomela obscura Gould, 1843, Myzomela pammelaena P.L.Sclater, 1877, Myzomela rosenbergii Schlegel, 1871, Myzomela rubratra (R.Lesson, 1827), Myzomela sanguinolenta (Latham, 1801), Myzomela sclateri W.A.Forbes, 1879, Myzomela tristrami E.P.Ramsay, 1881, Myzornis pyrrhoura Blyth, 1843, Neafrapus boehmi (Schalow, 1882), Necrosyrtes monachus (Temminck, 1823), Nectarinia famosa (Linnaeus, 1766), Nectarinia johnstoni Shelley, 1885, Nectarinia kilimensis Shelley, 1885, Nectarinia purpureiventris (Reichenow, 1893), Nectarinia tacazze (Stanley, 1814), Nemosia pileata (Boddaert, 1783), Neochen jubata (Spix, 1825), Neochmia modesta (Gould, 1837), Neochmia phaeton (Hombron & Jacquinot, 1841), Neochmia ruficauda (Gould, 1837), Neochmia temporalis (Latham, 1802), Neocossyphus rufus (Fischer & Reichenow, 1884), Neocrex erythrops (P.L.Sclater, 1867), Neoctantes niger (Pelzeln, 1859), Neodrepanis coruscans Sharpe, 1875, Neodrepanis hypoxantha Salomonsen, 1933, Neolalage banksiana (G.R.Gray, 1870), Neolestes torquatus Cabanis, 1875, Neomixis striatigula Sharpe, 1881, Neomixis tenella (Hartlaub, 1866), Neomorphus geoffroyi (Temminck, 1820), Neomorphus radiolosus P.L.Sclater & Salvin, 1878, Neopelma pallescens (Lafresnaye, 1853), Neopelma sulphureiventer (Hellmayr, 1903))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 929280 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007663-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkz7f9
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Copiapoa taltalensis (Werderm.) Looser)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048467-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqgdvj
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia kalbreyeri Engl. & Brehmer"
 ]
}

 The dataset includes 57 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048469-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.te3pmd
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.909113 -36.027639, 147.909113 -36.032131, 147.913605 -36.032131, 147.913605 -36.027639, 147.909113 -36.027639))"
 ]
}

 The dataset includes 66 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048468-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.