1,721,477 research outputs found
Code For 'A Global Comparison Of Integrated Water Vapour Estimates From Wmo Radiosondes, Aeronet Sun Photometers And Gps For The 17 Year Period From 1997 To 2013' By Wilson, Hansen, Bingley And Milton
No full textThis is the code used in the paper A global comparison of integrated water vapour estimates from WMO radiosondes, AERONET sun photometers and GPS for the 17 year period from 1997 to 2013 by Wilson, Hansen, Bingley and Milton. Taken from the git tag 'v1.0' in the repository at https://github.com/robintw/IWVComparison.</span
Clavadoce (Annelida: Phyllodocidae) from Australia
No full textWilson, Robin S., Greaves, Elizabeth (2016): Clavadoce (Annelida: Phyllodocidae) from Australia. Zootaxa 4061 (1): 61-67, DOI: 10.11646/zootaxa.4061.1.
Two new species of Eulepethidae (Polychaeta) from Australian seas
No full textWoolley, Skipton, Wilson, Robin S. (2011): Two new species of Eulepethidae (Polychaeta) from Australian seas. Zootaxa 2839: 47-66, DOI: 10.5281/zenodo.20557
A new Laubieriellus species (Annelida, Spionidae) from Western Australia
No full textErickson, Ricky-Lee, Wilson, Robin S. (2018): A new Laubieriellus species (Annelida, Spionidae) from Western Australia. Zootaxa 4461 (2): 261-268, DOI: 10.11646/zootaxa.4461.2.
FIGURE 4 in New Laonice species (Polychaeta: Spionidae) from western and northern Australia
No full textFIGURE 4. Laonice lemniscata sp. nov., holotype. A. Chaetiger 33 neuropodial hook, hood removed. B. Chaetiger 22 neuropodial hook, hood removed. Scales: A–B 1 µm.Published as part of Greaves, Elizabeth & Wilson, Robin, 2011, New Laonice species (Polychaeta: Spionidae) from western and northern Australia, pp. 1-20 in Zootaxa 2903 on page 6, DOI: 10.5281/zenodo.20790
Developing a novel method to retrieve high spatial resolution Aerosol Optical Thickness (AOT) from satellite data
No full textAerosol Optical Thickness (AOT) data have many important applications including atmospheric correction of satellite imagery and monitoring of particulate matter air pollution. Current data products are generally available at a kilometre-scale resolution, but many applications require far higher resolutions. For example, particulate matter concentrations vary on the scale of tens of metres, and thus data products at a similar scale are required to provide accurate assessments of particle densities and allow effective monitoring of air quality and analysis of local air quality effects on health.This thesis describes the development of a novel method which retrieves per-pixel AOT values from high-resolution (30m) satellite data, and this method is the main novel contribution to scientific knowledge of this PhD. This method is designed to work over a wide range of land covers including both bright and dark surfaces - and requires only standard visible bands, making it applicable to a range of data from sensors such as Landsat, DMC, SPOT and Pleiades. The method is based upon an extension of the Haze Optimized Transform (HOT), which was originally designed for estimating the haziness of each pixel in a satellite image, based upon the distance from a `Clear Line' in feature space. In this research, the HOT method is adapted and used to estimate AOT instead. Significant extensions include Monte Carlo estimation of the `Clear Line', object-based correction for land cover, and modelling of the HOT-AOT relationship using radiative transfer models.Validation against ground and satellite measurements, as well as simulated data, shows that 40-50% of the pixels have an error within ±0.1, not much lower than many presently available low-resolution products, with further work likely to improve the accuracy. Two example applications show the potential of this method for per-pixel atmospheric correction and monitoring the spatial pattern of particulate matter pollution. This novel method will enable many new applications of AOT data that were impossible with low-resolution data
Clavadoce Hartman 1936
No full textGenus <i>Clavadoce</i> Hartman, 1936Published as part of <i>Wilson, Robin S. & Greaves, Elizabeth, 2016, Clavadoce (Annelida: Phyllodocidae) from Australia, pp. 61-67 in Zootaxa 4061 (1)</i> on page 62, DOI: 10.11646/zootaxa.4061.1.6, <a href="http://zenodo.org/record/270375">http://zenodo.org/record/270375</a>
New Polygordiidae (Polychaeta) from the Australian region
No full textAvery, Lynda, Ramey, Patricia A., Wilson, Robin S. (2009): New Polygordiidae (Polychaeta) from the Australian region. Zootaxa 2068: 59-68, DOI: 10.5281/zenodo.18702
FIGURE 11 in Two new species of Eulepethidae (Polychaeta) from Australian seas
No full textFIGURE 11. Proeulepethus payungu sp. nov., holotype MV F166646: A, neurochaeta from mid-fascicle segment 3; B, hooked upper notochaeta segment 11; C, pectinate neurochaeta segment 11; D, capillary notochaeta segment 14; E, capillary notochaeta segment 14; F, bilimbate neurochaeta segment 14; G, dorsal notochaeta segment 26.Published as part of Woolley, Skipton & Wilson, Robin S., 2011, Two new species of Eulepethidae (Polychaeta) from Australian seas, pp. 47-66 in Zootaxa 2839 on page 64, DOI: 10.5281/zenodo.20557
FIGURE 2 in Clavadoce (Annelida: Phyllodocidae) from Australia
No full textFIGURE 2. Clavadoce dorsolobata (Hartmann-Schöder, 1987): A, dorsal view, live specimen, MV F166896; B, dorsal view, anterior end, live specimen, MV F166896; C, dorsal view, pygidium and anal cirri, live specimen, MV F166894; D, lateral view, everted pharynx, fixed specimen, F166898; A, B, C: photographs Leon Altoff; D: photograph David Paul.Published as part of Wilson, Robin S. & Greaves, Elizabeth, 2016, Clavadoce (Annelida: Phyllodocidae) from Australia, pp. 61-67 in Zootaxa 4061 (1) on page 66, DOI: 10.11646/zootaxa.4061.1.6, http://zenodo.org/record/27037
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