Automated Author Profile

Halfpenny, Angela

CSIRO

Current S-Index

0.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.1

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Synchrotron Data - Halfpenny 6673 (June 2013) - Identifying mineralising fluid pathways to gold

Identifying the fluid network which transports metal endowed fluids through the crust is essential for determining what mechanisms control the style of an ore deposit. By using the unique capability of the Maia-384 detector at the Australian Synchrotron, we plan to address the fundamental questions of how chemical and structural perturbations interact to cause economic mineralisation. The research will use micron resolution elemental maps to identify path finder elements which highlight the controlling fluid pathways from source to sink. This work will enhance our fundamental understanding of ore forming processes and will fortify the exploration for Australia’s mineral prosperity.

Authors

  • Halfpenny, Angela ;
  • Ryan, Chris ;
  • Hough, Rob ;
  • Cleverley, James ;
  • Laird, Jamie
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25919/cjbt-yz452024

Synchrotron Data - Hough 4898 (Aug 2012) - Path to impact for the Australian Synchrotron to the Australian Minerals Industry

The new element mapping and speciation probe capability at the Australian Synchrotron has the potential to provide unprecedented characterisation facilities for the Australian Minerals Industry. For example, mapping of invisible gold distribution in complex ores from Australian gold systems, mapping and probing copper in supergene and sedimentary copper systems. At the same time trace gold and copper can be directly observed in exploration samples in-situ! Element residence in ore deposit and exploration samples will be revealed from a series of case study examples in direct collaboration with the Australian Minerals Industry to showcase the Australian Synchrotron to the Industry.

Authors

  • Hough, Rob ;
  • Cleverley, James ;
  • Ryan, Chris ;
  • Fisher, Louise ;
  • Bath, Adam ;
  • Uvarova, Yulia ;
  • Halfpenny, Angela ;
  • Pearce, Mark
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25919/f32r-xt882024

Synchrotron data - Cleverley 6034 (Apr 2013) - The micro-scale building blocks of mineral system science: Underpinning the search for tomorrow's mineral wealth

The element mapping capability at the Australian Synchrotron has the potential to provide the building blocks of a fundamentally different view of the controls on metal transport and deposition within the Earth. The metallogenic make-up of large areas of the Earth’s crust reflects the interplay of deep-Earth anhydrous fluids with hydrous outer layers of the Earth. The research will map at the micro-scale suites of elements that characterise the pathways and interactions of deep-Earth fluids in the crust. The outcomes will enhance understanding mineral systems to scales of 106 metres and underpin the search for tomorrow’s mineral wealth.

Authors

  • Cleverley, James ;
  • Ryan, Chris ;
  • Walshe, John ;
  • Halfpenny, Angela ;
  • Bath, Adam ;
  • Fisher, Louise ;
  • Pearce, Mark
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25919/e99b-0s072024

Synchrotron data - Ryan Petra III (Oct 2012) - Installation and demo of Maia 384 at P06 beamline, DESY

Installation and demonstration of the Maia 384 detector array on the P06 beamline at the Petra III synchrotron, DESY, Hamburg, applied to high definition, large area scanning of geological, materials and biological samples.

Authors

  • Ryan, Chris ;
  • Moorhead, Gareth ;
  • Kirkham, Robin ;
  • Cleverley, James ;
  • Halfpenny, Angela ;
  • Fisher, Louise ;
  • Borg, Stacey ;
  • Boesenberg, Ulrike ;
  • Alfeld, Matthias ;
  • Wellenreuther, Gert ;
  • Falkenberg, Gerald ;
  • Siddons, Pete ;
  • Kuczewski, Tony ;
  • De Andrade, Vincent ;
  • Thieme, Juergen ;
  • Dunn, Paul ;
  • Jensen, Murray
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25919/vdy8-wm272024

Synchrotron Data - Ryan Petra III (May 2013) - Tuning and characterization of Maia 384 detector array at P06 beamline

Tuning (rate testing) and demonstration of the Maia 384 detector array on the P06 beamline at the Petra III synchrotron, DESY, Hamburg, applied to high definition, large area scanning of geological samples.

Authors

  • Ryan, Chris ;
  • Moorhead, Gareth ;
  • Kirkham, Robin ;
  • White, Alistair ;
  • Cleverley, James ;
  • Halfpenny, Angela ;
  • Fisher, Louise ;
  • Borg, Stacey ;
  • Boesenberg, Ulrike ;
  • Alfeld, Matthias ;
  • Wellenreuther, Gert ;
  • Falkenberg, Gerald ;
  • Siddons, Pete ;
  • Kuczewski, Tony ;
  • Dunn, Paul ;
  • Jensen, Murray
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25919/papc-6e342024

CSIRO Nuclear Microprobe data (1987-2018)

Archive of historical Nuclear Microprobe (NMP) data from around 1987 to closure in 2018. Data from Maia on the NMP (2018) is archived separately. All data is readable and processed using GeoPIXE.

Authors

  • Ryan, Chris ;
  • Laird, Jamie ;
  • Kirkham, Robin ;
  • Griffin, Willam ;
  • Jensen, Murray ;
  • Parry, David ;
  • Cousens, David ;
  • Moorhead, Gareth ;
  • McInnes, Brent ;
  • Yeats, Chris ;
  • Sie, Soey ;
  • Dunn, Paul ;
  • Suter, Gary ;
  • Hu, Siyu ;
  • Hough, Rob ;
  • Pages, Anais ;
  • Dodanwela, Roshan ;
  • Liu, Weihua ;
  • Hogan, Steve ;
  • Halfpenny, Angela ;
  • Fisher, Louise ;
  • Belton, David ;
  • Van Achterbergh, Esme ;
  • Lintern, Melvyn ;
  • Barnes, Stephen ;
  • Parr, Joanna ;
  • Ramanaidou, Erick ;
  • Davey, Paul ;
  • Spinks, Sam ;
  • Szymanski, Roland ;
  • Rudzik, Frank ;
  • Jamieson, David ;
  • Stewart, Aaron ;
  • Pearce, Mark ;
  • Hughes, Tony ;
  • MacRae, Colin ;
  • Anand, Ravi ;
  • Gregory, Stephen
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25919/1668-34822024