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Institution

Macquarie University

EducationSydney, New South Wales, Australia
About: Macquarie University is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Laser. The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.
Topics: Population, Laser, Galaxy, Anxiety, Mantle (geology)


Papers
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Journal ArticleDOI
TL;DR: In this article, the stellar atmospheric parameters (effective temperature, surface gravity, overall metallicity), radial velocities, individual abundances, and distances determined for 425,561 stars, which constitute the fourth public data release of the RAdial Velocity Experiment (RAVE).
Abstract: We present the stellar atmospheric parameters (effective temperature, surface gravity, overall metallicity), radial velocities, individual abundances, and distances determined for 425,561 stars, which constitute the fourth public data release of the RAdial Velocity Experiment (RAVE). The stellar atmospheric parameters are computed using a new pipeline, based on the algorithms of MATISSE and DEGAS. The spectral degeneracies and the Two Micron All Sky Survey photometric information are now better taken into consideration, improving the parameter determination compared to the previous RAVE data releases. The individual abundances for six elements (magnesium, aluminum, silicon, titanium, iron, and nickel) are also given, based on a special-purpose pipeline that is also improved compared to that available for the RAVE DR3 and Chemical DR1 data releases. Together with photometric information and proper motions, these data can be retrieved from the RAVE collaboration Web site and the Vizier database.

497 citations

Journal ArticleDOI
TL;DR: In this paper, present-day sources and properties of dust, synthesise available records of dust deposition at the last glacial maximum (LGM); evaluate the evidence for changes in ocean palaeo-productivity associated with, and possibly caused by, changes in aeolian flux to the oceans at the LGM; and consider the radiative forcing effects of increased LGM dust loadings.

495 citations

Journal ArticleDOI
28 Jan 2005-Science
TL;DR: Evidence is shown that growth form and seed size evolve in a coordinated manner and the largest single contributor to the present-day spread of seed mass was the divergence between angiosperms and gymnosperms.
Abstract: Improved phylogenies and the accumulation of broad comparative data sets have opened the way for phylogenetic analyses to trace trait evolution in major groups of organisms. We arrayed seed mass data for 12,987 species on the seed plant phylogeny and show the history of seed size from the emergence of the angiosperms through to the present day. The largest single contributor to the present-day spread of seed mass was the divergence between angiosperms and gymnosperms, whereas the widest divergence was between Celastraceae and Parnassiaceae. Wide divergences in seed size were more often associated with divergences in growth form than with divergences in dispersal syndrome or latitude. Cross-species studies and evolutionary theory are consistent with this evidence that growth form and seed size evolve in a coordinated manner.

494 citations

Journal ArticleDOI
Jochen Liske1, Ivan K. Baldry2, Simon P. Driver3, Simon P. Driver4, Richard J. Tuffs5, Mehmet Alpaslan6, E. Andrae5, Sarah Brough7, Michelle E. Cluver8, Meiert W. Grootes5, Madusha Gunawardhana9, Lee S. Kelvin, Jonathan Loveday10, Aaron S. G. Robotham3, Edward N. Taylor11, Steven P. Bamford12, Jonathan Bland-Hawthorn13, Michael J. I. Brown14, Michael J. Drinkwater15, Andrew M. Hopkins7, Martin Meyer3, Peder Norberg9, John A. Peacock16, N. K. Agius17, Stephen K. Andrews3, Amanda E. Bauer7, J. H. Y. Ching13, Matthew Colless18, Christopher J. Conselice12, Scott M. Croom13, Luke J. M. Davies3, R. De Propris19, Loretta Dunne20, Loretta Dunne16, Elizabeth Eardley16, Simon Ellis7, Caroline Foster7, Carlos S. Frenk9, Boris Häußler21, Boris Häußler22, Benne W. Holwerda23, Cullan Howlett24, Cullan Howlett10, H.. Ibarra25, Matt J. Jarvis8, Matt J. Jarvis22, D. H. Jones14, D. H. Jones26, Prajwal R. Kafle3, Cedric G. Lacey9, Rebecca A. Lange3, Maritza A. Lara-López27, Maritza A. Lara-López7, Angel R. Lopez-Sanchez26, Angel R. Lopez-Sanchez7, Steve Maddox20, Steve Maddox16, Barry F. Madore28, T. Mcnaught-Roberts9, Amanda J. Moffett3, Robert C. Nichol, Matt S. Owers7, David Palamara14, Samantha J. Penny, Steven Phillipps29, Kevin A. Pimbblet14, Kevin A. Pimbblet30, Cristina Popescu31, Cristina Popescu17, Cristina Popescu5, Matthew Prescott8, R. Proctor, Elaine M. Sadler13, Anne E. Sansom17, Mark Seibert28, Rob Sharp18, William J. Sutherland32, J. A. Vázquez-Mata10, E. van Kampen1, Stephen M. Wilkins10, R.. Williams33, A. H. Wright3 
TL;DR: The Galaxy And Mass Assembly (GAMA) survey as mentioned in this paper is one of the largest contemporary spectroscopic surveys of low redshift galaxies, covering an area of ∼286 deg2 (split among five survey regions) down to a limiting magnitude of r < 19.8 mag, and collecting spectra and reliable redshifts for 238'000 objects using the AAOmega spectrograph on the Anglo-Australian Telescope.
Abstract: The Galaxy And Mass Assembly (GAMA) survey is one of the largest contemporary spectroscopic surveys of low redshift galaxies. Covering an area of ∼286 deg2 (split among five survey regions) down to a limiting magnitude of r < 19.8 mag, we have collected spectra and reliable redshifts for 238 000 objects using the AAOmega spectrograph on the Anglo-Australian Telescope. In addition, we have assembled imaging data from a number of independent surveys in order to generate photometry spanning the wavelength range 1 nm–1 m. Here, we report on the recently completed spectroscopic survey and present a series of diagnostics to assess its final state and the quality of the redshift data. We also describe a number of survey aspects and procedures, or updates thereof, including changes to the input catalogue, redshifting and re-redshifting, and the derivation of ultraviolet, optical and near-infrared photometry. Finally, we present the second public release of GAMA data. In this release, we provide input catalogue and targeting information, spectra, redshifts, ultraviolet, optical and near-infrared photometry, single-component Sersic fits, stellar masses, Hα-derived star formation rates, environment information, and group properties for all galaxies with r < 19.0 mag in two of our survey regions, and for all galaxies with r < 19.4 mag in a third region (72 225 objects in total). The data base serving these data is available at http://www.gama-survey.org/.

494 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the voluntary reporting of intellectual capital (IC) by listed companies in Australia and Hong Kong and evaluate size, industry and time effects on IC disclosure levels.
Abstract: Purpose – The purpose of this paper is to investigate the voluntary reporting of intellectual capital (IC) by listed companies in Australia and Hong Kong and to evaluate size, industry and time effects on IC disclosure levels.Design/methodology/approach – The study is an empirical one conducted in two stages. Stage one is an exploratory study of voluntary IC disclosure for the 20 largest listed Australian companies in 1998. Stage two, using 2002 data, examines voluntary disclosure of IC attributes for 50 listed entities in Australia and 100 in Hong Kong. Content analysis is used to collect data.Findings – Levels of voluntary IC disclosure are found to be low and in qualitative rather than quantitative form in both locations. Disclosure level is positively related to company size, a finding that is consistent with the previous literature on voluntary reporting.Research limitations/implications – External validity may be compromised somewhat by the relatively small sample size. Managers are not observed in ...

493 citations


Authors

Showing all 14346 results

NameH-indexPapersCitations
Yang Yang1712644153049
Peter B. Reich159790110377
Nicholas J. Talley158157190197
John R. Hodges14981282709
Thomas J. Smith1401775113919
Andrew G. Clark140823123333
Joss Bland-Hawthorn136111477593
John F. Thompson132142095894
Xin Wang121150364930
William L. Griffin11786261494
Richard Shine115109656544
Ian T. Paulsen11235469460
Jianjun Liu112104071032
Douglas R. MacFarlane11086454236
Richard A. Bryant10976943971
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023110
2022463
20214,106
20204,009
20193,549
20183,119