Griffith University
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11 jeux de données trouvés
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Mapping Australia’s tropical shellfish reefs June 2026 – spatial data (NESP MaC 4.13, Griffith University)
Australian Ocean Data Network (AODN)This dataset consists of all spatial products developed for NESP MaC project 4.13 Mapping Australia’s tropical shellfish reefs. It includes maps and shapefiles (point) of historical and present-day shellfish reefs across Queensland, the Northern Territory and…
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Aesthetic value of the Great Barrier Reef 2017 - data collection (NESP TWQ 3.2.3, Griffith Institute for Tourism Research)
Australian Ocean Data Network (AODN)This dataset resulted from two inter-linked research streams. The first stream was related to the application of eye-tracking technology and an online survey in studying natural beauty. The second stream is related to the development of an Artificial…
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Aerial photo mosaic of Atherton Tablelands in June 1978 (NERP TE 12.2, Griffith, source: DERM)
Australian Ocean Data Network (AODN)This dataset is a photo mosaic of historic aerial imagery of the southern Atherton Tablelands from 16th June 1978. It includes the towns of Atherton, Malanda, Yungaburra and Tolga. It has a southern boundary just north of Millaa Millaa, a northern boundary of…
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Alluvial and Hillslope Gully Mapping – Digital gully mapping based on lidar data collected 2018-2019 in sections of the Burdekin, Fitzroy, and Normanby catchments. (NESP TWQ 5.10, Griffith University)
Australian Ocean Data Network (AODN)This dataset contains maps of alluvial and hillslope gullies across four large blocks of lidar covering portions of the Burdekin, Fitzroy, and Normanby Catchments. The gully polygons were generated using methods developed in the NESP 5.10 project for the…
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Lidar mapping and Gully Assessment December 2023 (DCCEEW, Contract SON3352211, Griffith Uni)
Australian Ocean Data Network (AODN)This dataset contains maps of alluvial and hillslope gullies across blocks of lidar covering portions of the Burdekin Catchment. This project is an expansion of the detailed gully mapping and assessment undertaken previously as part of NESP TWQ Project 5.10…
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Input data for Artificial Intelligence research for the 2019 Measuring aesthetics project (NESP TWQ 5.5, Griffith Institute for Tourism Research)
Australian Ocean Data Network (AODN)The last stream within the NESP 5.5 project was related to the conduct of an online survey to get aesthetic ratings of additional 3500 images downloaded from Flickr to improve the Artificial Intelligence (AI)-based system recognising and assessing the beauty…
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Focus groups data for the 2019 Measuring aesthetics project (NESP TWQ 5.5, Griffith Institute for Tourism Research)
Australian Ocean Data Network (AODN)Organizing focus groups was used as an effective qualitative research method to examine collective opinions of participants on a specific topic. Within NESP 5.5 project, focus groups consist of an exploratory study to explore the psychological antecedents of…
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The bioavailability and chemical composition of the organic component of soils and sediments from the catchment to reef (NESP TWQ 5.8, Griffith University)
Australian Ocean Data Network (AODN)This data set provides detailed information about the chemical composition, bioavailability and relative abundance of organic compounds in plant material and the organic associated with soil and sediment samples collected from terrestrial and marine…
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Eye-tracking data of the 2019 Measuring aesthetics project (NESP TWQ 5.5, Griffith Institute for Tourism Research)
Australian Ocean Data Network (AODN)The second stream within the NESP 5.5 project was conducted using eye-tracking technology to examine possible differences between three participant groups in evaluating the aesthetic beauty of GBR underwater sceneries. This research continue the efforts…
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Oxygen flux data for experimental units of intertidal mudflat testing the effect of nutrients on growth (NESP MaC 3.4, Griffith University)
Australian Ocean Data Network (AODN)The study focused on the impacts of catchment development on estuaries. Our previous NESP NAER study showed that for three rivers in the Gulf, nutrient addition to intertidal mudflat cores stimulated production and by inference, a reduction in nutrients,e.g.…
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Developmental trajectories of forest recovery from passive regrowth and active planting on the Atherton uplands derived from chronosequence data. (NERP TE 12.2, GU and UQ)
Australian Ocean Data Network (AODN)This data set describes change in forest attributes over time in response to passive regrowth and biodiverse ecological restoration plantings across the southern Atherton uplands. These data were obtained from four sets of spatially replicated site-types: (1)…
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