{"data":{"id":"10.6084/m9.figshare.4233119.v2","type":"dois","attributes":{"doi":"10.6084/m9.figshare.4233119.v2","prefix":"10.6084","suffix":"m9.figshare.4233119.v2","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Matteo, Michael Di","nameType":"Personal","givenName":"Michael Di","familyName":"Matteo","affiliation":[],"nameIdentifiers":[]},{"name":"Maier, Holger","nameType":"Personal","givenName":"Holger","familyName":"Maier","affiliation":[],"nameIdentifiers":[]},{"name":"Dandy, Graeme","nameType":"Personal","givenName":"Graeme","familyName":"Dandy","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"A MANY-OBJECTIVE OPTIMIZATION AND VISUAL ANALYTICS APPROACH TO PROJECT SELECTION FOR INTEGRATED CATCHMENT MANAGEMENT"}],"publisher":"figshare","container":{},"publicationYear":2017,"subjects":[{"subject":"90509 Water Resources Engineering","subjectScheme":"FOR"},{"subject":"FOS: Civil engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Civil engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2017-04-10","dateType":"Created"},{"date":"2017-04-10","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.4233119","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["2502270 Bytes"],"formats":[],"version":null,"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":"· Data Set S1. An excel spreadsheet containing stormwater harvesting and green score determined by stakeholders, and calculations for costings and water quality performance of individual BMPs. Filename: ds01.xlsx · Data Set S2.\u003cb\u003e \u003c/b\u003eA compressed file containing inputs and an executable for the Pareto Ant Colony Optimization Algorithm (PACOA) that can be run on a Windows desktop computer to replicate the optimization results. Filename: ds02.rar · Data Set S3. An excel spreadsheet containing the objective function values, decision options, and alternative data (catchment size, breakdown of benefits by Council) of the Pareto optimal solutions determined by sorting the optimization results for non-dominance in objective space. Filename: ds03.csv · Data Set S4. A .ddv that can be opened in the DiscoveryDV visual analytics program, containing interactive visualization of the Pareto optimal solution data from Data Set S3. 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