Data

Measuring the interactions and influence of amphipathic copolymers with lipid monolayers and bilayers as models of biological membranes

Queensland University of Technology
Boase, Nathan ; Wiedbrauk, Sandra ; Graham, Elizabeth ; Nelson, Andrew
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_id=info:doi10.25912/RDF_1692773086773&rft.title=Measuring the interactions and influence of amphipathic copolymers with lipid monolayers and bilayers as models of biological membranes&rft.identifier=10.25912/RDF_1692773086773&rft.publisher=Queensland University of Technology&rft.description=Neutron reflectometry of [D77]-POPC monolayers as models of cell membranes and their interactions with amphipathic copolymers. The data set includes raw neutron reflectometry data, as well as data fits, models and a Jupyter notebook of analysis. &rft.creator=Boase, Nathan &rft.creator=Wiedbrauk, Sandra &rft.creator=Graham, Elizabeth &rft.creator=Nelson, Andrew &rft.date=2023&rft.edition=1&rft.coverage=150.978663,-34.050832&rft_rights=© Queensland University of Technology, 2023.&rft_rights=Creative Commons Attribution-Share Alike 3.0 http://creativecommons.org/licenses/by-sa/4.0/&rft_subject=Cell membranes&rft_subject=Amphipathic copolymers&rft_subject=Neutron reflectometry&rft_subject=Macromolecular and materials chemistry&rft_subject=CHEMICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY-SA

Creative Commons Attribution-Share Alike 3.0
http://creativecommons.org/licenses/by-sa/4.0/

© Queensland University of Technology, 2023.

Access:

Other

Contact Information

Postal Address:
Dr Nathan Boase

nathan.boase@qut.edu.au

Full description

Neutron reflectometry of [D77]-POPC monolayers as models of cell membranes and their interactions with amphipathic copolymers. The data set includes raw neutron reflectometry data, as well as data fits, models and a Jupyter notebook of analysis.

Data time period: 02 2021 to 23 08 2023

This dataset is part of a larger collection

Click to explore relationships graph

150.97866,-34.05083

150.978663,-34.050832

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers