Research Data
Faculty: Faculty of Pharmacy
36 research data referenced
2024
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Activity coefficients for ideal mixtures (Hexane/Heptane, Benzene/Toluene, and 1-Propanol/Isopropanol) and non-ideal mixtures (Ethanol/Water, Ammonia/Water, and Carbon Dioxide/Water) determined with Aspen Plus® v12.
Zenodo
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Activity coefficients for ideal mixtures (Hexane/Heptane, Benzene/Toluene, and 1-Propanol/Isopropanol) and non-ideal mixtures (Ethanol/Water, Ammonia/Water, and Carbon Dioxide/Water) determined with Aspen Plus® v12.
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Dasyclonium species delimitation with organelle genomes
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Dasyclonium species delimitation with organelle genomes
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Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation
Mendeley Data
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Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation
Mendeley Data
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Research data of developing a novel technology for slurry management by project-based learning
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Research data of developing a novel technology for slurry management by project-based learning
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Tunning of the variables (boil-up rate, heating power, reflux ratio, and separation efficiency) is exemplified for the classical non-ideal mixture of ethanol and water
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Tunning of the variables (boil-up rate, heating power, reflux ratio, and separation efficiency) is exemplified for the classical non-ideal mixture of ethanol and water
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Tunning of the variables (boild-up rate, heating power, reflux ratio, and separation efficiency) is exemplified for the classical non-ideal mixture of ethanol and water
Zenodo
2023
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Aspen Plus models of the flash distillation process for stabilization of anaerobic digestate and synthesis of ammonium bicarbonate
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Aspen Plus models of the flash distillation process for stabilization of anaerobic digestate and synthesis of ammonium bicarbonate
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Aspen Plus v12 models for design a project-based learning on developing a novel technology for slurry management
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Aspen Plus v12 models for design a project-based learning on developing a novel technology for slurry management
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Aspen Plus v12 models for design a project-based learning on developing a novel technology for slurry management
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Dataset of " Removal of the waterborne parasite Cryptosporidium parvum from drinking water using granular activated carbon"
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Dataset of " Removal of the waterborne parasite Cryptosporidium parvum from drinking water using granular activated carbon"
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Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation
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Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation
Zenodo