Data

Carbon dioxide capture and conversion dataset

The University of Sydney
Deanna D'Alessandro (Associated with, Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=Carbon dioxide capture and conversion dataset&rft.identifier=https://mds.sydney.edu.au/redbox/published/detail/af02e7b4620b00ef59bba51f89ba6935&rft.publisher=The University of Sydney&rft.description=The carbon dioxide capture and conversion dataset is an output of a Science & Industry Endowment Fund (SIEF) project to develop nanoporous metal-organic frameworks that have an affinity for carbon dioxide.  A goal of the project is to develop nanoporous materials that will aid in the development of more efficient processes for the capture, conversion and sequestration of carbon dioxide.  The ultimate goal of the project is the development of new classes of efficient, cost-effective, and industrially viable materials for application in carbon capture and storage (CCS) systems. Efficient carbon capture offers opportunities to reduce the industrial output of greenhouse gas emissions on a national and international scale.Gas sorption data was captured using a Micromeritics ASAP2020 Sorption Instrument, and an IGA-100 Intelligent Gravimetric Adsorption analyser.  Instrument data is converted to .CSV format, and is manipulated using data analysis and visualisation software programmes including Origin, SigmaPlot and MathCAD. Analysed data is exported to .JPEG format for publication. For further information, please refer to the associated publications.&rft.creator=Deanna D'Alessandro&rft.date=2012&rft.relation=http://dx.doi.org/10.1039/C1SC00354B&rft.relation=http://dx.doi.org/10.1351/PAC-CON-10-09-18&rft.relation=http://dx.doi.org/10.1002/anie.201000431&rft.relation=http://dx.doi.org/10.1021/ja903411w&rft_rights=Contact the manager of this collection directly to negotiate terms and conditions of access to this dataset.&rft_subject=Inorganic hemistry&rft_subject=Electron transfer&rft_subject=Advanced materials&rft_subject=Coordination polymer&rft_subject=Metal-organic framework&rft_subject=Nanoporosity&rft_subject=Supramolecular&rft_subject=Transition Metal Chemistry&rft_subject=CHEMICAL SCIENCES&rft_subject=INORGANIC CHEMISTRY&rft_subject=Electrochemistry&rft_subject=PHYSICAL CHEMISTRY (INCL. STRUCTURAL)&rft_subject=Chemical Characterisation of Materials&rft_subject=MACROMOLECULAR AND MATERIALS CHEMISTRY&rft_subject=Optical Properties of Materials&rft_subject=Synthesis of Materials&rft_subject=Nanochemistry and Supramolecular Chemistry&rft_subject=Structural Chemistry and Spectroscopy&rft.type=dataset&rft.language=English Access the data

Please use the contact information below to request access to this data.

Contact Information

School of Chemistry, The University of Sydney, NSW 2006 Australia

Licence & Rights:

view details

Contact the manager of this collection directly to negotiate terms and conditions of access to this dataset.

Access:

Other view details

Copyright The University of Sydney 2011-2015. All rights reserved.

Full description

The carbon dioxide capture and conversion dataset is an output of a Science & Industry Endowment Fund (SIEF) project to develop nanoporous metal-organic frameworks that have an affinity for carbon dioxide.  A goal of the project is to develop nanoporous materials that will aid in the development of more efficient processes for the capture, conversion and sequestration of carbon dioxide.  The ultimate goal of the project is the development of new classes of efficient, cost-effective, and industrially viable materials for application in carbon capture and storage (CCS) systems. Efficient carbon capture offers opportunities to reduce the industrial output of greenhouse gas emissions on a national and international scale.

Gas sorption data was captured using a Micromeritics ASAP2020 Sorption Instrument, and an IGA-100 Intelligent Gravimetric Adsorption analyser.  Instrument data is converted to .CSV format, and is manipulated using data analysis and visualisation software programmes including Origin, SigmaPlot and MathCAD. Analysed data is exported to .JPEG format for publication. For further information, please refer to the associated publications.

Data time period: 2011 to 2015

This dataset is part of a larger collection

Identifiers
  • Local : mds.sydney.edu.au/redbox/published/detail/af02e7b4620b00ef59bba51f89ba6935