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    This dataset collection contains GIS layers for creating the AIMS eReefs visualisation maps (https://ereefs.aims.gov.au/). These datasets are useful for creating A4 printed maps of the Great Barrier Reef and the Coral Sea. It contains the following datasets: - Countries - Australia plus surrounding countries at 1:10M scale. Crop of Natural Earth Data 1:10 Admin 0 - Countries dataset. Allows filtering out of surrounding countries. - Cities - 21 Cities along the Queensland coastline. - Basins - Drainage basins adjacent to the Great Barrier Reef along the eastern Queensland coastline. Derived from Geoscience Australia River Basins 1997 dataset. It is a subset and reprojection. - Land and Basins - This layer contains both Queensland and PNG land areas, along with the river basins along the eastern Queensland coastline. This is an integrated layer that represents both the background land area and the river basins all in one layer. This layer saves having to map the land area, then overlay the river basins. In this way each polygon only needs to be rendered once. The goal of this layer is to optmise the rendering time of the eReefs base map. This dataset is made up from the Geoscience Australia Australia's River Basins 1997 dataset for the Queensland coastline and the eastern Queensland basins. PNG is copied from Natural Earth Data 10 m countries dataset. - Rivers - Rivers that drain along the Queensland eastern coast. This is a subset of the Geoscience Australia Geodata Topo 1:5M 2004. - Reefs - Boundaries of reefs in GBR, Torres Strait and Coral Sea. In the Coral Sea it contains the atoll platform boundaries rather than the individual reefs. This is derived from the GBRMPA GBR features dataset, AIMS Torres Strait features dataset and the AIMS Coral Sea features dataset. These were combined and simplified to a scale of 1:1M. Note that this simplification resulted in multiple neighbouring reefs being grouped together. This dataset is intended for visual rendering of maps. - Clip regions - Polygons for clipping eReefs data to the GBR. Also contains approximate polygons for Coral Sea, Torres Strait, PNG and New Caledonia. This was created principally for setting the region attribute for the Reefs dataset, but was made available as it is useful for clipping eReefs data to the GBR for plotting purposes. Methods: Most of the base map layers are derived from a variety of data sources. The full workflow used to transform these source datasets is documented on GitHub (https://github.com/eatlas/GBR_AIMS_eReefs-basemap). Limitations of the data: The datasets in this collection have been cropped and simplified for the purposes of creating low detail printed maps of the GBR. They are not intended for creating a high resolution base map. Format of the data: Shapefile and GeoJSON files. The Cities dataset is provided as a CSV file. Location of the data: This dataset is filed in the eAtlas enduring data repository at: data\custodian\2018-2024-eReefs\GBR_AIMS_eReefs-basemap

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    This vulnerability map results from integrating the spatial pattern of the following stressors: cyclonic waves, currents, cyclone tracks, heatwaves (DHW), crown of thorns starfish, and tsunamis. After summarizing historical data and reclassifying each variable into a common scale, they were integrated into a single vulnerability score whose spatial distribution is represented in this map. Methods The coral rubble vulnerability map was calculated by combining GBR wide datasets on currents (2015-2019), cyclone wave statistics (synthetic cyclones), Degree Heating Weeks (DHW) (1986-2021), crown of thorns starfish outbreaks (1985-2017), cyclone tracks (1950-2022), and tsunamis hazard (Probabilistic Tsunami Hazard Assessment, PTHA18). Each of these datasets were converted onto a common 0.005° raster grid (matching the final vulnerability map) using inverse distance weighting (IDW) interpolation for point format datasets (cyclone track points, COTs, tsunamis) and resampling (currents) for raster datasets. For wave and DHW the data was reprojected and resampled on to the common grid. These grids were then clipped to the GBRMPA GBR features reef boundaries. In order to obtain the vulnerability score, each variable was reclassified in ArcGIS Pro, using five equally spaced categories (quantising the data into discrete levels between the minimum and maximum values). As result, all variables ranged from 1 to 5. Finally, all six layers were added up, ignoring no-data pixels. In the case of currents, cyclonic waves and DHW, multiple measures were reviewed and considered. In the index maximum surface current, maximum significant wave height from cyclones and mean DHW were used. Further details of the input data can be found in the ‘Supplementary information - Maps of input data for integrated coral rubble vulnerability map of the Great Barrier Reef’. Limitations This first vulnerability map assumes equal weight for all variables included. There is an ongoing study aiming to test and identify which variables are more correlated with reef damage. This model does not consider the likely accumulation of rubble based on the topology of the reefs. It does not consider the production rate of coral that can result in coral rubble or that some of the inshore reefs particularly in Broad Sound are not coral reefs. Format The spatial model is 1988x2707 pixels with a spatial reference of WGS84 (EPSG:2346). The original dataset is stored in ESRI GRID format (6322 KB), which was converted to a GeoTiff for use in the eAtlas (22 MB). Data dictionary Pixel values in the raster correspond to low vulnerability (7) through to high vulnerability (23)

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    The Bright Earth eAtlas Basemap dataset collection is a satellite-derived global map of the world at a 1:1M scale for most of the world and 1:200k scale for Australia. This map was inspired by Natural Earth II (NEII) and NASA's Blue Marble Next Generation (BMNG) imagery. Its aim was to provide a basemap similar to NEII but with a higher resolution (~10x). This basemaps is derived from the following datasets: Blue Marble Next Generation 2004-04 (NASA), VMap0 coastline, Coast100k 2004 Australian coastline (GeoScience Australia), SRTM30 Plus v8.0 (UCSD) hillshading, Natural Earth Vector 10m bathymetry and coastline v2.0 (NE), gbr100 hillshading (JCU). This dataset (World_Bright-Earth-e-Atlas-basemap) contains all the files required to setup the Bright Earth eAtlas basemap in a GeoServer. All the data files are stored in GeoTiffs or shapefiles and so can also be loaded into ArcMap, however no styling has been included for this purpose.