{"data":{"id":"10.4121/874e9667-a19b-4e1b-83d9-ec324c93df52","type":"dois","attributes":{"doi":"10.4121/874e9667-a19b-4e1b-83d9-ec324c93df52","prefix":"10.4121","suffix":"874e9667-a19b-4e1b-83d9-ec324c93df52","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Rajmane, Shreya","givenName":"Shreya","familyName":"Rajmane","affiliation":[],"nameIdentifiers":[]},{"name":"Letsios, Vasileios","givenName":"Vasileios","familyName":"Letsios","affiliation":[],"nameIdentifiers":[]},{"name":"Lee, Youjin","givenName":"Youjin","familyName":"Lee","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Data underlying the MSc research project: Human-nature connectedness of the Teplica stream of Senica"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2025,"subjects":[{"subject":"Land and Water Management","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9609"},{"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 stream restoration"},{"subject":"Quality of life"},{"subject":"Biodiversity"},{"subject":"Climate adaptation"},{"subject":"river"},{"subject":"liveability"},{"subject":"biophilia"},{"subject":"human-nature connectedness"}],"contributors":[{"name":"TU Delft, Faculty of Architecture and the Built Environment","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2025-06-30","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/874e9667-a19b-4e1b-83d9-ec324c93df52.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[".gkpg"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains quantitative data on \u003cstrong\u003eurban stream restoration of the Teplica River in Senica, Slovakia\u003c/strong\u003e, as part of the research project \u003cem\u003eHuman-Nature Connectedness of the Teplica Stream in Senica\u003c/em\u003e.In this research, a\u003cstrong\u003e \u003c/strong\u003ecombined approach across three themes —Biodiversity, Quality of Life, and Climate Adaptation—was used to assess the current condition of the Teplica stream.For this case study:The river was divided into \u003cstrong\u003estream segments at 200-meter intervals\u003c/strong\u003e.In each segment, different criteria were measured to determine the current situation, using \u003cstrong\u003ebuffer zones of varying radii around the stream\u003c/strong\u003e, depending on the specific criteria measured.Two data-driven methods were applied:\u003cstrong\u003eSpatial Multi-Criteria Decision Analysis (S-MCDA). \u003c/strong\u003eS-MCDA was used to \u003cstrong\u003eweigh and compare the different measured criteria\u003c/strong\u003e within the objectives of biodiversity, climate adaptation, and quality of life. This method supports decision-making by evaluating and ranking the criteria to identify priority areas for intervention.\u003cstrong\u003eTypology Construction. \u003c/strong\u003eTypology construction, using the k-clustering means, was used to \u003cstrong\u003egroup criteria into homogenous clusters based on similarities\u003c/strong\u003e, allowing the identification of patterns within the dataset. These clusters help to understand which types of interventions would be most impactful within specific segments of the Teplica stream.In this dataset both the units of measure and the criteria measured can be found.","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Teplica River, Senica, 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