Dataset Open Access
Ben Said, Borhane; Pereira, Lucas; Tolosana Delgado, Raimon; Rudolph, Martin
{ "inLanguage": { "name": "English", "alternateName": "eng", "@type": "Language" }, "url": "https://rodare.hzdr.de/record/1508", "identifier": "https://doi.org/10.14278/rodare.1508", "keywords": [ "Design of experiments, Plant optimization, Mineral processing, Shiny R, Process Modelling" ], "sameAs": [ "https://www.hzdr.de/publications/Publ-34457" ], "@context": "https://schema.org/", "@id": "https://doi.org/10.14278/rodare.1508", "license": "https://creativecommons.org/licenses/by/1.0/legalcode", "creator": [ { "@id": "https://orcid.org/0000-0002-1976-3417", "name": "Ben Said, Borhane", "@type": "Person", "affiliation": "1.\tHelmholtz-Institute Freiberg for Resource Technology" }, { "@id": "https://orcid.org/0000-0001-8041-5406", "name": "Pereira, Lucas", "@type": "Person", "affiliation": "1.\tHelmholtz-Institute Freiberg for Resource Technology" }, { "@id": "https://orcid.org/0000-0001-9847-0462", "name": "Tolosana Delgado, Raimon", "@type": "Person", "affiliation": "1.\tHelmholtz-Institute Freiberg for Resource Technology" }, { "@id": "https://orcid.org/0000-0002-5374-6135", "name": "Rudolph, Martin", "@type": "Person", "affiliation": "1.\tHelmholtz-Institute Freiberg for Resource Technology" } ], "distribution": [ { "contentUrl": "https://rodare.hzdr.de/api/files/afa3f282-f030-4358-8e8f-1821a726796f/Training_file_Modelling.csv", "fileFormat": "csv", "@type": "DataDownload" }, { "contentUrl": "https://rodare.hzdr.de/api/files/afa3f282-f030-4358-8e8f-1821a726796f/Training_file_Screening.csv", "fileFormat": "csv", "@type": "DataDownload" }, { "contentUrl": "https://rodare.hzdr.de/api/files/afa3f282-f030-4358-8e8f-1821a726796f/Training_file_Verification.csv", "fileFormat": "csv", "@type": "DataDownload" } ], "datePublished": "2022-03-31", "name": "A user-friendly R Platform for Optimizing Mineral Processing", "@type": "Dataset", "version": "1", "description": "<p>An open-source and user-friendly platform for using design of experiments for optimizing mineral processing. No specific knowledge of programming languages is required for using the platform. Depending on the user needs, the platform suggests the optimal experimental strategy with a minimum number of runs required. Different types of experimental designs such as screening, full factorial and central composite designs are currently available. The R shiny app can be accessed via: <a href=\"https://hifgeomet.shinyapps.io/Optimization_Tool/?_ga=2.220106777.1492352332.1648111246-2107193156.1640171433\">https://hifgeomet.shinyapps.io/Optimization_Tool/</a></p>" }
All versions | This version | |
---|---|---|
Views | 1,782 | 276 |
Downloads | 3,024 | 303 |
Data volume | 4.6 MB | 462.7 kB |
Unique views | 703 | 153 |
Unique downloads | 400 | 81 |