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246 results for “Sydney”
Urban form data for climate modelling: Sydney at 300 m resolution derived from building-resolving and 2 m land cover datasets
<p><strong>Sydney morphology and land surface dataset</strong></p> <p>This dataset for Sydney, Australia, represents land cover, building morphology, vegetation morphology and other parameters appropriate for input into local or mesoscale urban climate models.</p> <p>The dataset is provided in netCDF4 and GeoTiff formats.</p> <p>Associated manuscript:</p> <blockquote> <p><a href="https://doi.org/10.3389/fenvs.2022.866398">A transformation in city-descriptive input data for urban climate models</a></p> </blockquote> <p>Citation for the open dataset:<br> - Lipson, M., Nazarian, N., Hart, M. A., Nice, K. A., and Conroy, B.: Urban form data for climate modelling: Sydney at 300 m resolution derived from building-resolving and 2 m land cover datasets (v1.01), <a href="https://doi.org/10.5281/zenodo.6579061">https://doi.org/10.5281/zenodo.6579061</a>, 2022.</p> <p>Citation for the associated manuscript:<br> - Lipson, M. J., Nazarian, N., Hart, M. A., Nice, K. A., and Conroy, B.: A Transformation in City-Descriptive Input Data for Urban Climate Models, Frontiers in Environmental Science, 10, <a href="https://doi.org/10.3389/fenvs.2022.866398">https://doi.org/10.3389/fenvs.2022.866398</a>, 2022.</p> <p>Location of associated processing code:<br> - <a href="https://github.com/matlipson/geoscape_processing_public.git">https://github.com/matlipson/geoscape_processing_public.git</a></p> <p><strong>Acknowledgments</strong></p> <p>We gratefully acknowledge the Australian Urban Research Infrastructure Network (AURIN) and Geoscape Australia for <br> providing the datasets necessary for this study, drawing on Geoscape Buildings, Surface Cover and Trees datasets, <br> © Geoscape Australia, 2020: https://geoscape.com.au/legal/data-copyright-and-disclaimer/. <br> This research was supported by the Australian Research Council (ARC) Centre of Excellence for Climate System Science <br> (grant CE110001028), the ARC Centre of Excellence for Climate Extremes (grant CE170100023). </p> <p> </p>
Geological Structure of the Sydney-Gunnedah-Bowen Basin
<p>Deep geological structure of the Sydney-Gunnedah-Bowen Basin, from borehole records and potential field modelling. Accompanying publications to cite if using:</p><p>Building 3D geological knowledge through regional scale gravity modelling for the Bowen Basin</p><p><a href="https://doi.org/10.1071/EG11028">https://doi.org/10.1071/EG11028</a></p><p>Gunnedah Basin 3D architecture and upper crustal temperatures</p><p><a href="https://doi.org/10.1080/08120099.2010.481353">https://doi.org/10.1080/08120099.2010.481353</a></p><p>Deep 3D structure of the Sydney Basin using gravity modelling</p><p><a href="https://doi.org/10.1080/08120099.2011.565802">https://doi.org/10.1080/08120099.2011.565802</a></p>
Hypersonic Transport: 3D Emission Inventory of STRATOFLY-MR3 Fleet Operated on Brussels to Sydney Route in 2075
<p>High-resolution 3D inventories of future hypersonic transport (HST) are compiled for the year 2075, integrating the gaseous engine emissions of a fleet of 200 hydrogen-powered Mach 8 passenger aircraft*. These aircraft are operated once a day for 360 days on a reference route from Brussels (BRU) to Sydney (MYA) with either NO<sub>x</sub>-optimized (ICA**: 114 000 ft; 34.75 km) or H<sub>2</sub>O-optimized (ICA**: 107 500 ft; 32.77 km) flight profiles, derived to minimize environmental impacts in terms of total emissions. The emissions are spatially gridded at a horizontal resolution of 1° in longitude and latitude, with a vertical resolution of 1000 ft, and are temporally accumulated on an annual basis. Note that the 3D emission inventories encompass detailed data on species-specific HST emissions***, fuel burn, and total distance traveled: </p> <ul> <li>Species: NO, H<sub>2</sub>O; H<sub>2</sub></li> <li>Temporal information: 2075; annually</li> <li>Spatial information: 1° x 1° x 1000 ft</li> <li>Data Format: NetCDF</li> </ul> <p>-----------------------------------------------------------------------------------------------------------------------------------------<br>* The hypersonic aircraft concept under consideration is the <a href="https://arc.aiaa.org/doi/abs/10.2514/6.2021-1877">STRATOFLY-MR3</a> vehicle, which was conceptually developed in <br> the framework of the <a href="https://cordis.europa.eu/project/id/769246">H2020 STRATOFLY project</a>.<br>** Initial Cruise Altitude<br>*** with a unit of kg/km<sup>3 </sup>(corrected in v0.2)</p> <p> </p>
Sydney Morris Cockerell: an Appreciation by one of his Journeymen
<p>This is the recording and transcript of a lecture given by Anthony Cains in 1988 at the Fifth Anniversary Conference of the Parker Library Conservation Project. A publication based upon the conference paper, supplemented with new material and updated, was released in 1994:</p> <p>Cains, Anthony G. 1994. ‘Sydney Morris Cockerell. A Tribute by Anthony Cains, One of His Journeymen’. In <em>Conservation and Preservation in Small Libraries</em>, edited by Nicholas Hadgraft and Katherine Swift, 157–60. Cambridge: Parker Library Publications.</p>
Schools Weather and Air Quality (SWAQ) –Metadata – Urban Network, Sydney (NSW)
<p>Schools Weather and Air Quality (SWAQ) is a citizen science project funded by the Department of Industry, Innovation and Science as part of its Inspiring Australia - Citizen Engagement Program. SWAQ is equipping public schools across Sydney with research-grade meteorology and air quality sensors, enabling students to collect and analyse research quality data through curriculum-aligned classroom activities.</p> <p>The network includes twelve automatic weather stations and seven automatic air quality stations, stretched from -33.5995° to -34.0424° latitude and from 150.6918° to 151.2706° longitude. The average spacing is 10.2 km and the average installation height is 2.5 m above ground level. Six meteorological parameters (dry-bulb temperature, relative humidity, barometric pressure, rain, wind speed, and wind direction) and six air pollutants (SO2, NO2, CO, O3, PM2.5, and PM10) are recorded via Vaisala WXT 536 and Vaisala AQT 420 with a 20 minutes sampling frequency. </p> <p>SWAQ data provides urban canopy layer observations of the intra-urban heterogeneity and inter-parameter dependency of all major urban climate and air quality variables, valuable across diverse urban disciplines. SWAQ stations are located where there are gaps in existing government networks, and focus on Sydney’s western suburbs, where the highest urbanization rate is taking place, to better inform future urban planning. QC procedures are designed to ensure observations of extreme episodes are not excluded. Beyond research purposes, SWAQ is a citizen-centered network, conceived to promote valuable STEM (science, technology, engineering, mathematics) skills among citizens and students.</p> <p>This collection includes the metadata files for all SWAQ stations, in pdf. Metadata describe the site (type, geographic coordinates, elevation, orographic setting, representativeness, local climatic zone, dominant land use, percent land cover, mean tree and building heights, proximity to water/heat and pollutants sources/sinks, estimation of Davenport Roughness, traffic density, sky view factor), and the instrumentation (variables, models, manufacturers, calibration and installation dates). Site characteristics are described at three radial scales: 20 km, 500 m, and 50 m. Graphical representations include: satellite images, street-view maps, cardinal direction photographs, panoramic photos, and close-up photos of sensors, solar panels, and connections. Optimum site allocation was determined by undertaking a multi-criteria weighted overlay analysis to ensure data representativeness and quality. All SWAQ sensors are installed:</p> <ul> <li>in homogenous urban regions, without sections of anomalous variation in the regional urban makeup and aspect-ratio, and without large, concentrated heat/pollution sources or sinks;</li> <li>in areas falling into the WMO Class 4 with no electromagnetic sources that could have distorted the transmission;</li> <li>at a constant height of 2 - 3.5 m above ground level.</li> </ul> <p>The actual data is available from the Australian Terrestrial Ecosystem Research Network (TERN) <a href="https://https://portal.tern.org.au/schools-weather-air-sydney-nsw/22077">data portal</a> and is regularly updated. The data available from TERN has undergone a rigorous quality check routine before upload.</p> <ul> <li>Calibration: Sensors and gateways are calibrated and tested by Vaisalain controlled conditions </li> <li>Quality Assurance: Annual maintenance log</li> <li>Quality control: continuity tests, fixed range tests (on both physical and instrumental limits), dynamic range and step tests (both performed on a monthly basis), internal consistency tests (on known atmospheric relations) and persistence tests. </li> </ul> <p>The files are in csv format. On the <a href="https://www.swaq.org.au">SWAQ website</a> a non quality controlled subset is available for educational purposes only.</p> <p>This project was funded by an Australian Government Department of Industry, Innovation and Science, Inspiring Australia – Science Engagement Program: Citizen Science Grants (CSG56028).</p> <p>It was also part of the Centre of Excellence for Climate Extremes research project "Attribution & Risk".</p> <p>More information is available in the readme file, in particular a full list of the variables and a legend for the quality flags used.</p>
Fig. 6. Misgolas trangae n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) in the Sydney Region, Australia, With Notes on Synonymies Attributed to M. rapax
Fig. 6. Misgolas trangae n.sp. (A–D) Ƌ, holotype AM KS49026. (A), right palp retrolateral. (B,C), right bulb: (B),
Fig. 12 in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) in the Sydney Region, Australia, With Notes on Synonymies Attributed to M. rapax
Fig. 12. Species distribution of Misgolas species in the Sydney region (eastern Australia) based on material examined. Key to symbols for maps (A) and (B): O Misgolas gracilis; A M. melancholicus; Z M. villosus. Map (C): • M. beni; Z M. cliffi; Δ M. lynabra; M. maculosus; O M. michaeli; * M. rodi; A M. trangi; * M. wayorum.
Fig. 9. Misgolas rodi n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) in the Sydney Region, Australia, With Notes on Synonymies Attributed to M. rapax
Fig. 9. Misgolas rodi n.sp. (A–D) Ƌ, holotype AM KS50083. (A), right palp retrolateral. (B,C), right bulb: (B),
Fig. 3 in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) in the Sydney Region, Australia, With Notes on Synonymies Attributed to M. rapax
Fig. 3. Misgolas gracilis. (A–D) Ƌ, AM KS22910. (A), right palp retrolateral. (B,C), right bulb: (B), dorsal; (C), prolateral. (D), venter. (E) Ƌ, AM KS34720, venter. (F,G) ♀, AM KS44339; (F), tarsus and metatarsus IV retrodorsal; (G), venter. (H,I) Ƌ, AM KS86211; (H), ventral aspect, palpal tibia excavation; (I), tibial excavation texture.
Fig. 4. Misgolas cliffi n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) in the Sydney Region, Australia, With Notes on Synonymies Attributed to M. rapax
Fig. 4. Misgolas cliffi n.sp. (A–D) Ƌ, holotype AM KS36559. (A), right palp retrolateral. (B,C), right bulb: (B), dorsal; (C), prolateral. (D), venter. (E) ♀, allotype AM KS7472, tarsus and metatarsus IV retrodorsal.
Fig. 10. Misgolas beni n in Trapdoor Spiders of the Genus Misgolas (Mygalomorphae: Idiopidae) in the Sydney Region, Australia, With Notes on Synonymies Attributed to M. rapax
Fig. 10. Misgolas beni n.sp. (A–D) Ƌ, holotype AM KS38550. (A), right palp retrolateral. (B,C), right bulb: (B), dorsal; (C), prolateral. (D), venter.
Saccostrea glomerata (Sydney Rock Oyster) - Meta Analysis Dataset Repository
<h1>Saccostrea glomerata (Sydney Rock Oyster) - Meta Analysis Dataset Repository:</h1> <h2>Dataset used to do 8 separate meta-analyses on the following topics for <em>Saccostrea glomerata</em> (Sydney Rock Oyster):</h2> <p>1. Ocean acidification and size</p> <p>2. Ocean acidification and mortality</p> <p>3. Ocean warming and size</p> <p>4. Ocean warming and mortality</p> <p>5. Transgenerational exposure to ocean acidification and size</p> <p>6. Transgenerational exposure to ocean acidification and mortality</p> <p>7. Transgenerational exposure to ocean warming effect and size</p> <p>8. Transgenerational exposure to ocean warming and mortality</p> <h3><strong>Dataset contains:</strong></h3> <ul> <li>Original code and all associated data files in order to reproduce the work within the "Code and Formatted Data" Folder.</li> <li>Datasheets containing the raw data extracted from the papers identified during the literature searches </li> </ul> <h3>Description of the data and file structure</h3> <ul> <li>R-Markdown file contains the original code required to reproduce the results outlined in this paper</li> <li>All datasheets appended with "_Formatted_For_Effect_Sizes" were used to generate the effect sizes required for the meta-analysis</li> <li>All datasheets appended with "_Extracted_Raw_Data" are the raw data extracted from the papers identified during the literature searches</li> </ul> <h3><strong>Abbreviations</strong></h3> <ul> <li>OA - Ocean Acidification</li> <li>Temp - Temperature</li> <li>Transgen - Transgenerational Exposure</li> <li>Mort - Mortality</li> </ul> <h2>Abstract</h2> <div>Global oceans are warming and acidifying because of increasing greenhouse gas emissions which are anticipated to have cascading impacts on marine ecosystems and organisms, especially those essential for biodiversity and food security. Despite this concern, there remains some scepticism about the reproducibility and reliability of research done to predict the future climate change impacts on marine organisms. Here we present meta-analyses of over two decades of research on the climate change impacts on an ecologically and economically valuable Sydney rock oyster, <em>Saccostrea glomerata</em>. We confirm with high confidence that ocean acidification has a significant impact on mortality and size of <em>S. glomerata,</em> that ocean warming has a significant impact on mortality, but not size, and transgenerational exposure has positive benefits to offspring. These meta-analyses reveal impacts of climate change on an ecologically and economically significant oyster species and recommends solutions for experimental designs to ensure sustainability of this iconic oyster. </div>
Fig. 5 in Small Free-Living Heterotrophic Flagellates from Marine Intertidal Sediments of the Sydney Region, Australia
Fig. 5. (a) Protaspa verrucosa, note ventral groove. (b) Thaumatomastix sp., general appearance of cell and showing a layer of body scales. (c)–(d) Clautriavia cavus, general appearance of different cells, (c) cell from Lee and Patterson (2000). (e) Gweamonas unicus, note coiled flagellum and flagellar insertion. (f)–(h) Eoramonas jungensis sp. nov., showing general appearance of different cells, note flagellar insertion and beating pattern of anterior flagellum. (i)–(j) Glissandra similis, showing general appearance of different cells, note the ventral groove. (k) Phyllomitus undulans, note two flagella adhering each other, from Lee (2002a). (l)–(m) Protist 1, showing general appearance, note flagellar insertion. (n) Protist 2, showing general appearance, note collar and two emergent flagella. All micrographs are DIC images. Scale bar in (h) = 5 μm for (e)–(h) and in (n) = 10 μm for other figures.
Fig. 4 in Small Free-Living Heterotrophic Flagellates from Marine Intertidal Sediments of the Sydney Region, Australia
Fig. 4. (a)–(b) Rhynchobodo longiciliatus, (a) general appearance of cell, (b) flagellar insertion into pocket. (c)–(d) Cercomonas sp.1, general appearance, note slender anterior part and hyaline cell body. (e)–(f) Cercomonas parva, (e) genera appearance showing a posterior flagellum attached to the body, (f) flexible body. (g)–(h) Cercomonas sp.2, general appearance, note both short flagella and cytoplasms drawn from the posterior part. (i) Cyranomonas australis, showing general appearance of different cells, note flagellar insertion. (j)–(k) Protaspa flexibilis sp. nov., general appearance of different cells, (j) nuclear caps around nucleus. All micrographs are DIC images. Scale bar in (k) = 10 μm for all figures with the exception of (b). Scale bar in (b) = 5 μm.
Fig. 3 in Small Free-Living Heterotrophic Flagellates from Marine Intertidal Sediments of the Sydney Region, Australia
Fig. 3. Apusomonadida, Cercomonadida, Protaspidae, Thaumatomonadidae and Protista incertae sedis. (a) Apusomonas proboscidea, (b) Cercomonas parva, (c) Cercomonas sp.1, (d) Cercomonas sp.2, (e) Protaspa flexibilis sp. nov., (f) Thaumatomastix sp., (g) Eoramonas jungensis sp. nov., (h) Gweamonas unicus, (i) Phyllomitus undulans (from Lee 2002a), (j) Protist 1, (k) Protist 2. Scale bar = 10 μm for all figures.
Fig. 2 in Small Free-Living Heterotrophic Flagellates from Marine Intertidal Sediments of the Sydney Region, Australia
Fig. 2. (a)–(b) Mastigamoeba psammobia, (a) general appearance of cell, note cytoplasms drawn from the posterior end, (b) general appearance of different cell and note pseudopodia. (c) Hexamita inflata, general appearance, note the nucleus. (d) Trepomonas agilis, general appearance of cell. (e) Chilomastix cuspidata, showing general appearance. (f) Stephanopogon sp., showing general appearance. (g) Saepicula pulchra, showing general appearance of cell. (h)–(j) Goniomonas amphinema. (h) Form I, (i) Form II, (j) Form III, note flagellar ar- rangement. (k) Roombia truncata, note attached cell to the substrate by the tip of the posterior flagellum, note extrusomes, surface striations and deep gullet. (l) Telonema subtilis, showing general appearance. (m) Harpagon descissus, general appearance of cell. (n)–(o) Spironema multiciliatum, (n) general appearance of cell, (o) note the kinetics. (p) Psammosa unguis, general appearance of cell. (q) Bicosoeca conica, general appearance of cell. (r) Apusomonas proboscidea, genera appearance of cell, note the V-shaped structure on dorsal face. All micrographs are DIC images except for (b), which is phase contrast images. Scale bar in (r) = 10 μm for all figures.
Abstracts and Metadata from the Digital Humanities Conference 2015 in Sydney (DH2015)
<p>Initial release of abstracts and metadata.</p>
Urban Growth Strategy in Greater Sydney Leads to Unintended Social and Environmental Challenges
<p>A dataset of the manuscript "Urban Growth Strategy in Greater Sydney Leads to Unintended Social and Environmental Challenges", paper published in Nature Cities. The NVivo files contain all variables and causal relationships among the variables supported by quotations coded from the 1968, 2005 and 2018 urban planning reports in Greater Sydney. (1) <em>Sydney region: outline plan, 1970-2000 A.D – a strategy for development</em><em> </em>published by the NSW State Planning Authority<em>; </em>(2)<em> City of Cities. A plan for Sydney's Future</em> published by the NSW Department of Planning<em>; and </em>(3)<em> A Metropolis of Three Cities – connecting people</em> published by Greater Sydney Commission.</p>
Figure 57 in Type Specimens of Non-fossil Mammals in the Australian Museum, Sydney
Figure 57. AM PA.209, holotype skull of Scoteinus orion aquilo Troughton, 1936c. (Photography by Sally Cowan).
Figure 51 in Type Specimens of Non-fossil Mammals in the Australian Museum, Sydney
Figure 51. AM PA.1261, syntype skull of Pteropus rufus Ramsay, 1891b. (Photography by Stuart Humphreys).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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