{"data":{"id":"10.4121/3fa09077-8ce8-4d05-8207-09c8b666bb43","type":"dois","attributes":{"doi":"10.4121/3fa09077-8ce8-4d05-8207-09c8b666bb43","prefix":"10.4121","suffix":"3fa09077-8ce8-4d05-8207-09c8b666bb43","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Moustafa Habib Abdelraouf, Maha","nameType":"Personal","givenName":"Maha","familyName":"Moustafa Habib Abdelraouf","nameIdentifiers":[{"nameIdentifier":"0009-0000-9030-8778","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Zendeli, Doruntina","nameType":"Personal","givenName":"Doruntina","familyName":"Zendeli","nameIdentifiers":[{"nameIdentifier":"0009-0009-4169-3388","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"van Esch, Marjolein ","nameType":"Personal","givenName":"Marjolein ","familyName":"van Esch","nameIdentifiers":[{"nameIdentifier":"0000-0002-8446-5555","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Timmermans, Wim","nameType":"Personal","givenName":"Wim","familyName":"Timmermans","nameIdentifiers":[{"nameIdentifier":"0009-0005-3437-8866","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"van Ham, Maarten","nameType":"Personal","givenName":"Maarten","familyName":"van Ham","nameIdentifiers":[{"nameIdentifier":"0000-0002-2106-0702","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data supporting: Clustering Approach to Typo-Morphologies Across Multiple Dutch Cities for Urban Heat Island Intensity Assessment in Urbanized Residential Settings"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Other Built Environment and Design","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1299"},{"subject":"FOS: Civil engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Urban and Regional Planning","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1205"},{"subject":"FOS: Social and economic geography","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Climate and Climate Change","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9603"},{"subject":"Built Environment and Design","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"12"},{"subject":"Environment","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"96"},{"subject":"Urban morphology"},{"subject":"Microclimate"},{"subject":"Urban heat island"},{"subject":"Unsupervised clustering"},{"subject":"Geospatial data"},{"subject":"Climate adaptation"},{"subject":"Local climate zones"},{"subject":"Time: 2022-2023"}],"contributors":[{"name":"TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"Department of Architecture and Urban Studies","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"Politecnico di Milano,","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"University of Twente, Faculty of Geo-Information Science and Earth Observation, Department of Water Resources","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2026-01-05","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1016/j.scs.2025.107107","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/3fa09077-8ce8-4d05-8207-09c8b666bb43.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["csv, gpkg"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution Non Commercial Share Alike 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-sa-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u003cstrong\u003eOverview\u003c/strong\u003eThis repository contains datasets on residential typo-morholgoies across 99 Dutch cities, including a focused subset covering four major urban areas: Amsterdam, Rotterdam, Utrecht, and The Hague. These datasets were developed to facilitate research on the relationship between detailed urban morphologies and maximum Urban Heat Island intensity (UHImax). Unlike traditional classification frameworks such as the Local Climate Zone (LCZ), the typologies presented here are derived through an unsupervised clustering approach that identifies unique residential typo-morphologies based on four key morphological parameters. These typologies offer refined, data-driven subclasses that better capture the complexity of urban forms and their thermal characteristics in the Dutch context, while maintaining compatibility with existing LCZ classifications for cross-referencing. \u003cbr\u003e\u003cstrong\u003eMethodology\u003c/strong\u003eMethodologies applied in generating this geospatial dataset include Principal Component Analysis, K-means clustering for typology identification, evaluation metrics like the Davies-Bouldin Index, as well as analyzing relationships between typo-morphologies and UHImax intensity. All analytical code and workflows are documented and available to ensure reproducibility and support further research. \u003cbr\u003eSpatial data are projected using the Amersfoort / RD New coordinate system (EPSG:28992), consistent with Dutch national geospatial standards. The dataset’s spatial granularity is at a 100 × 100 meter grid scale, enabling linkage with census and other socio-demographic datasets provided by Statistics Netherlands (CBS). This makes the dataset a valuable resource for integrated urban climate studies and targeted heat adaptation planning.","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Highly urbanized areas in the Netherlands (99 municiplaities)"}],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
<resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.4/metadata.xsd">
  <identifier identifierType="DOI">10.4121/3FA09077-8CE8-4D05-8207-09C8B666BB43</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Maha Moustafa Habib Abdelraouf</creatorName>
      <givenName>Maha</givenName>
      <familyName>Moustafa Habib Abdelraouf</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0009-0000-9030-8778</nameIdentifier>
    </creator>
    <creator>
      <creatorName nameType="Personal">Doruntina Zendeli</creatorName>
      <givenName>Doruntina</givenName>
      <familyName>Zendeli</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0009-0009-4169-3388</nameIdentifier>
    </creator>
    <creator>
      <creatorName nameType="Personal">Marjolein  van Esch</creatorName>
      <givenName>Marjolein </givenName>
      <familyName>van Esch</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0002-8446-5555</nameIdentifier>
    </creator>
    <creator>
      <creatorName nameType="Personal">Wim Timmermans</creatorName>
      <givenName>Wim</givenName>
      <familyName>Timmermans</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0009-0005-3437-8866</nameIdentifier>
    </creator>
    <creator>
      <creatorName nameType="Personal">Maarten van Ham</creatorName>
      <givenName>Maarten</givenName>
      <familyName>van Ham</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0002-2106-0702</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Data supporting: Clustering Approach to Typo-Morphologies Across Multiple Dutch Cities for Urban Heat Island Intensity Assessment in Urbanized Residential Settings</title>
  </titles>
  <publisher>4TU.ResearchData</publisher>
  <publicationYear>2026</publicationYear>
  <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
  <subjects>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="1299">Other Built Environment and Design</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="1205">Urban and Regional Planning</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9603">Climate and Climate Change</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="12">Built Environment and Design</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="96">Environment</subject>
    <subject>Urban morphology</subject>
    <subject>Microclimate</subject>
    <subject>Urban heat island</subject>
    <subject>Unsupervised clustering</subject>
    <subject>Geospatial data</subject>
    <subject>Climate adaptation</subject>
    <subject>Local climate zones</subject>
    <subject>Time: 2022-2023</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism</contributorName>
    </contributor>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">Department of Architecture and Urban Studies</contributorName>
    </contributor>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">Politecnico di Milano,</contributorName>
    </contributor>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">University of Twente, Faculty of Geo-Information Science and Earth Observation, Department of Water Resources</contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2026-01-05</date>
  </dates>
  <language>en</language>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.1016/j.scs.2025.107107</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.4121/3fa09077-8ce8-4d05-8207-09c8b666bb43.v1</relatedIdentifier>
  </relatedIdentifiers>
  <formats>
    <format>csv, gpkg</format>
  </formats>
  <version>1</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Overview&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;This repository contains  datasets on residential  typo-morholgoies across 99 Dutch cities, including a focused subset covering four major urban areas: Amsterdam, Rotterdam, Utrecht, and The Hague. These datasets were developed to facilitate research on the relationship between detailed urban morphologies and maximum Urban Heat Island intensity (UHImax). Unlike traditional classification frameworks such as the Local Climate Zone (LCZ), the typologies presented here are derived through an unsupervised clustering approach that identifies unique residential typo-morphologies based on four key morphological parameters. These typologies offer refined, data-driven subclasses that better capture the complexity of urban forms and their thermal characteristics in the Dutch context, while maintaining compatibility with existing LCZ classifications for cross-referencing. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methodology&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Methodologies applied in generating this geospatial dataset include Principal Component Analysis, K-means clustering for typology identification, evaluation metrics like the Davies-Bouldin Index, as well as analyzing relationships between typo-morphologies and UHImax intensity. All analytical code and workflows are documented and available to ensure reproducibility and support further research. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Spatial data are projected using the Amersfoort / RD New coordinate system (EPSG:28992), consistent with Dutch national geospatial standards. The dataset’s spatial granularity is at a 100 × 100 meter grid scale, enabling linkage with census and other socio-demographic datasets provided by Statistics Netherlands (CBS). This makes the dataset a valuable resource for integrated urban climate studies and targeted heat adaptation planning.&lt;/p&gt;</description>
  </descriptions>
  <geoLocations>
    <geoLocation>
      <geoLocationPlace>Highly urbanized areas in the Netherlands (99 municiplaities)</geoLocationPlace>
    </geoLocation>
  </geoLocations>
</resource>","url":"https://data.4tu.nl/datasets/3fa09077-8ce8-4d05-8207-09c8b666bb43","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":1,"citationsOverTime":[{"year":"2026","total":1}],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-01-05T09:32:06.000Z","registered":"2026-01-05T09:32:07.000Z","published":"2026","updated":"2026-01-05T09:32:07.000Z"},"relationships":{"client":{"data":{"id":"delft.data4tu","type":"clients"}},"provider":{"data":{"id":"scpr","type":"providers"}},"media":{"data":{"id":"10.4121/3fa09077-8ce8-4d05-8207-09c8b666bb43","type":"media"}},"references":{"data":[]},"citations":{"data":[{"id":"10.1016/j.scs.2025.107107","type":"dois"}]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[{"id":"10.4121/3fa09077-8ce8-4d05-8207-09c8b666bb43.v1","type":"dois"}]}}}}