Automated Organization ProfileANSTO
ANSTO
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 36.2 (sum of 40 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This collection contains measurements of dimethyl sulfide (DMS) and methanethiol (MeSH) atmospheric mixing ratio at Kennaook/Cape Grim Baseline Air Pollution Station (Tasmania) between April-December 2024.
Authors
- Mynard, Caleb ;
- Dunne, Erin ;
- Humphries, Ruhi ;
- Franklin, Emily ;
- Somerville, Nigel ;
- Harnwell, James ;
- Chambers, Scott ;
- GRIFFITHS, Alan ;
- Williams, Alastair G.
This collection contains measurements of dimethyl sulfide (DMS) and methanethiol (MeSH) atmospheric mixing ratio at Kennaook/Cape Grim Baseline Air Pollution Station (Tasmania) between September-December 2023.
Authors
- Mynard, Caleb ;
- Dunne, Erin ;
- Humphries, Ruhi ;
- Franklin, Emily ;
- Somerville, Nigel ;
- Harnwell, James ;
- Chambers, Scott ;
- Griffiths, Alan ;
- Williams, Alastair G.
This dataset contains a common standard template for representing the metadata of stable isotope results environmental samples (e.g., soils, rocks, water, gases) and a CSIRO-specific vocabulary for use across CSIRO research activities. The templates includes core properties of stable isotope results, analytical methods, and uncertainty of analyses, as well as associated metadata such as such as their name, identifier, type, and location. The templates enables users with disparate data to find common ground regardless of differences within the data itself i.e. sample types, collections.The standardized templates can prevent duplicate sample metadata entry and lower metadata redundancy, thereby improving the stable isotope data curation and discovery. They have been developed iteratively, revised, and improved based on feedback from researchers and lab technicians.Use of this template and vocabularies will facilitate interoperable and machine-readable platform-ready data collections.
Authors
- Welti, Nina ;
- Flick, Lian ;
- Hawkins, Stephanie ;
- Fraser, Geoff ;
- Waltenberg, Kathryn ;
- Crawford, Jagoda ;
- Huhges, Cath ;
- Puccini, Athina ;
- Szarvas, Steve ;
- Gerber, Christoph ;
- Suckow, Axel ;
- Abhijit, Paul ;
- Liu, Fong
This dataset contains a common standard template for representing the metadata of stable isotope results environmental samples (e.g., soils, rocks, water, gases) and a CSIRO-specific vocabulary for use across CSIRO research activities. The templates includes core properties of stable isotope results, analytical methods, and uncertainty of analyses, as well as associated metadata such as such as their name, identifier, type, and location. The templates enables users with disparate data to find common ground regardless of differences within the data itself i.e. sample types, collections.The standardized templates can prevent duplicate sample metadata entry and lower metadata redundancy, thereby improving the stable isotope data curation and discovery. They have been developed iteratively, revised, and improved based on feedback from researchers and lab technicians.Use of this template and vocabularies will facilitate interoperable and machine-readable platform-ready data collections.
Authors
- Welti, Nina ;
- Flick, Lian ;
- Hawkins, Stephanie ;
- Fraser, Geoff ;
- Waltenberg, Kathryn ;
- Crawford, Jagoda ;
- Hughes, Cath ;
- Puccini, Athina ;
- Szarvas, Steve ;
- Gerber, Christoph ;
- Suckow, Axel ;
- Abhijit, Paul ;
- Liu, Fong
Slippery covalently-attached liquid surfaces (SCALS) with low contact angle hysteresis (CAH, <5˚) and nanoscale thickness display impressive anti-adhesive properties, similar to lubricant-infused surfaces.
Their efficacy is generally attributed to the liquid-like mobility of the constituent tethered chains. However, the precise physico-chemical properties that facilitate this mobility are unknown, hindering rational design. This work quantifies the chain length, grafting density, and microviscosity of a range of polydimethylsiloxane (PDMS) SCALS, elucidating the nanostructure responsible for their properties. Zip files of neutron reflectometry and single-molecule force spectroscopy data are included here.
Authors
- Gresham, Isaac Jack ;
- Lilley, Seamus Grant ;
- Koynov, Kaloian ;
- Nelson, Andrew Robert John ;
- Neto, Chiara
Slippery covalently-attached liquid surfaces (SCALS) with low contact angle hysteresis (CAH, <5˚) and nanoscale thickness display impressive anti-adhesive properties, similar to lubricant-infused surfaces.
Their efficacy is generally attributed to the liquid-like mobility of the constituent tethered chains. However, the precise physico-chemical properties that facilitate this mobility are unknown, hindering rational design. This work quantifies the chain length, grafting density, and microviscosity of a range of polydimethylsiloxane (PDMS) SCALS, elucidating the nanostructure responsible for their properties. Zip files of neutron reflectometry and single-molecule force spectroscopy data are included here.
Authors
- Gresham, Isaac Jack ;
- Lilley, Seamus Grant ;
- Koynov, Kaloian ;
- Nelson, Andrew Robert John ;
- Neto, Chiara
This deposition contains the data and analysis (Jupyter notebooks) detailed in Solvent modulated specific ion effects: PNIPAM brushes in non-aqueous electrolytes. All Jupyter notebooks have also been converted into PDF files for ease of viewing. All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains three sub-directories:EllipsometryData directories containing all raw ellipsometry data for the ‘thick’ and ‘thin’ PNIPAM brushes.Spatial maps of the polymer brush used for spectroscopic ellipsometry data analysis: “surface_map.png”.“refellips_Spectroscopic_SL.ipynb” notebook to reproduce the analysis of the hydrated (solid-liquid) ‘thin’ polymer brush. Relevant plotting tools can be found in the refellips repo.“Ellipsometry_logistical_fitting.ipynb” notebook and “water_results.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. “refellips_Spectroscopic_SL_VFP.ipynb” notebook to reproduce the analysis of the hydrated (solid-liquid) ‘thick’ polymer brush.Neutron_reflectometryData directory containing all relevant reduced reflectivity profiles from the Platypus reflectometer at ANSTO.“refnx_dry.ipynb” and “refnx_solvent.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively.Additional code required to model the hydrated polymer brush and various plotting tools can be in the refnxtoolbox repo.
Authors
- Robertson, Hayden ;
- Gresham, Isaac J. ;
- Nelson, Andrew R.J. ;
- Gregory, Kasimir P. ;
- Johnson, Edwin C. ;
- Willott, Joshua D. ;
- Prescott, Stuart W. ;
- Wanless, Erica J. ;
- Webber, Grant B.
This deposition contains the data and analysis (Jupyter notebooks) detailed in Solvent modulated specific ion effects: PNIPAM brushes in non-aqueous electrolytes. All Jupyter notebooks have also been converted into PDF files for ease of viewing. All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains three sub-directories:EllipsometryData directories containing all raw ellipsometry data for the ‘thick’ and ‘thin’ PNIPAM brushes.Spatial maps of the polymer brush used for spectroscopic ellipsometry data analysis: “surface_map.png”.“refellips_Spectroscopic_SL.ipynb” notebook to reproduce the analysis of the hydrated (solid-liquid) ‘thin’ polymer brush. Relevant plotting tools can be found in the refellips repo.“Ellipsometry_logistical_fitting.ipynb” notebook and “water_results.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. “refellips_Spectroscopic_SL_VFP.ipynb” notebook to reproduce the analysis of the hydrated (solid-liquid) ‘thick’ polymer brush.Neutron_reflectometryData directory containing all relevant reduced reflectivity profiles from the Platypus reflectometer at ANSTO.“refnx_dry.ipynb” and “refnx_solvent.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively.Additional code required to model the hydrated polymer brush and various plotting tools can be in the refnxtoolbox repo.
Authors
- Robertson, Hayden ;
- Gresham, Isaac J. ;
- Nelson, Andrew R.J. ;
- Gregory, Kasimir P. ;
- Johnson, Edwin C. ;
- Willott, Joshua D. ;
- Prescott, Stuart W. ;
- Wanless, Erica J. ;
- Webber, Grant B.
This deposition contains the data and analysis (Jupyter notebooks) detailed in "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour". All Jupyter notebooks have also been converted into PDF files for ease of viewing. All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data.zip” archive. This archive contains three sub-directories: Spectroscopic_ellipsometry Data directory (data_files) containing all raw ellipsometry data. “PMETAC_wet_analysis.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Further relevant plotting tools can be found in the refellips repo. “PMETAC_dry.ipynb” notebook to reproduce the analysis of the dry polymer film and create the areal maps. Neutron_reflectometry Data directory (NamedData) containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO. “NR_dry.ipynb”, “NR_Solid-Liquid.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively. “NR_Solid-Liquid_corefine.ipynb” notebook for reproducing the simultaneous optimisation of the PMETAC brush in D2O and H2O: co-refinement. Additional code required to model the hydrated polymer brush and various plotting tools can be found in the refnxtoolbox repo and the refnx repo. nSCFT Files containing the polymer, ion, and solvent VF profiles from nSCFT calculations.
Authors
- Robertson, Hayden ;
- Elliott, Gareth ;
- Nelson, Andrew ;
- Le Brun, Anton ;
- Webber, Grant ;
- Prescott, Stuart ;
- Craig, Vince ;
- Wanless, Erica ;
- Willott, Joshua
This deposition contains the data and analysis (Jupyter notebooks) detailed in "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour". All Jupyter notebooks have also been converted into PDF files for ease of viewing. All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data.zip” archive. This archive contains three sub-directories: Spectroscopic_ellipsometry Data directory (data_files) containing all raw ellipsometry data. “PMETAC_wet_analysis.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Further relevant plotting tools can be found in the refellips repo. “PMETAC_dry.ipynb” notebook to reproduce the analysis of the dry polymer film and create the areal maps. Neutron_reflectometry Data directory (NamedData) containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO. “NR_dry.ipynb”, “NR_Solid-Liquid.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively. “NR_Solid-Liquid_corefine.ipynb” notebook for reproducing the simultaneous optimisation of the PMETAC brush in D2O and H2O: co-refinement. Additional code required to model the hydrated polymer brush and various plotting tools can be found in the refnxtoolbox repo and the refnx repo. nSCFT Files containing the polymer, ion, and solvent VF profiles from nSCFT calculations.
Authors
- Robertson, Hayden ;
- Elliott, Gareth ;
- Nelson, Andrew ;
- Le Brun, Anton ;
- Webber, Grant ;
- Prescott, Stuart ;
- Craig, Vince ;
- Wanless, Erica ;
- Willott, Joshua