The Millennium Coral Reef Mapping Project provides thematic maps of coral reefs worldwide at geomorphological scale. Maps were created by photo-interpretation of Landsat 7 and Landsat 8 satellite images. Maps are provided as standard Shapefiles usable in GIS software. The geomorphological classification scheme is hierarchical and includes 5 levels. The GIS products include for each polygon a number of attributes. The 5 level geomorphological attributes are provided (numerical codes or text). The Level 1 corresponds to the differentiation between oceanic and continental reefs. Then from Levels 2 to 5, the higher the level, the more detailed the thematic classification is. Other binary attributes specify for each polygon if it belongs to terrestrial area (LAND attribute), and sedimentary or hard-bottom reef areas (REEF attribute). Examples and more details on the attributes are provided in the references cited. The products distributed here were created by IRD, in their last version. Shapefiles for 29 atolls of Australia as mapped by the Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Funded by National Aeronautics and Space Administration, NASA grants NAG5-10908 (University of South Florida, PIs: Franck Muller-Karger and Serge Andréfouët) and CARBON-0000-0257 (NASA, PI: Julie Robinson) from 2001 to 2007. Funded by IRD since 2003 (in kind, PI: Serge Andréfouët).

Proportional change in effective area of similar ecological environments for Mammals as a function of land clearing within the present long term (30 year average) climate (1990 centred) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover.

This metric describes the effects of land clearing on the area of similar environments to each grid cell as a proportion. Each cell is compared with a sample of 60,000 points in both uncleared landscape and degraded landscape (pairwise similarities summed (e.g. a completely similar cell will contribute 1, a dissimilar cell 0, with a range of values in between). The contribution of each cell is then multiplied by a 0 (cleared) to 1 (intact) condition index based on the natural areas layer. By dividing the test area by the current area, we are able to quantify the reduction in area as a function of land use/climate change. Values less than one indicate a reduction, values of 1 no change, and values greater than 1 (rare cases in the north) show an increase in similar environments.

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org.

Data are provided in two forms: 1. Zipped ESRI float grids: Binary float grids (.flt) with associated ESRI header files (.hdr) and projection files (.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. 2. ArcGIS layer package (.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.

Layers in this 9s series use a consistent naming convention: BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS e.g. A_90_CAN85_S or R_90_MIR85_L where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants

Lineage: Proportional change in the area of similar ecological environments was calculated using the highly parallel bespoke CSIRO Muru software running on a LINUX high-performance-computing cluster, taking GDM model transformed environmental grids as inputs. Proportional change was calculated by taking the area of baseline ecological environments similar to each present cell as the denominator and the area of present cells with their contribution scaled by the natural areas condition index (0 degraded to 1 intact) as the numerator. More detail of the calculations and methods are given in the document “9sMethodsSummary.pdf” provided with the data download. GDM Model: Generalised dissimilarity model of compositional turnover in reptile species for continental Australia at 9 second resolution using ALA data extracted 28 February 2014 (GDM: REP_r3_v2) Climate data. Models were built and projected using: a) 9-second gridded climatology for continental Australia 1976-2005: Summary variables with elevation and radiative adjustment b) 9-second gridded climatology for continental Australia 2036-2065 CanESM2 RCP 8.5 (CMIP5): Summary variables with elevation and radiative adjustment Natural Areas Layer (intact to degraded land) Australian Government Department of the Environment (2014) Natural areas of Australia - 100 metre (digital dataset and metadata). Available at http://www.environment.gov.au/metadataexplorer/explorer.jsp and up to date information for Western Australia were provided at 25m Albers projection were reprojected to GDA94, merged and aggregated to a continuous measure of proportion of intact area per grid cell at 9s.

A legacy of over 500 paper maps records geological lineament analysis of Australia conducted by the late Tim O'Driscoll in Western Mining Corporation Exploration Division during the 1960s to 1980s. The lineament interpretations were used to target mineral exploration, famously including the analysis that led to the discovery of the Olympic Dam deposit in South Australia. Papers discussing the lineament approach are collected in Bourne & Twidale (2007). Lineaments were interpreted from a range of data available at the time, including magnetic and gravity maps, topography, standard geological maps, and 'chicken track'interpretation of aerial photographs and early satellite images. This product comprises high quality digital scans of 130 of the original paper maps, rectified and georeferenced for use in GIS software. Geoscience Australia reproduces these maps and makes them available publicly for their historic and scientific interest. The paper originals are held in the Geoscience Australia library.

The Digital Surficial Geologic-GIS Map of Isle Au Haut and Immediate Vicinity, Acadia National Park, Maine is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (isha_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (isha_surficial_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (acad_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (acad_surficial_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (isha_surficial_geology_metadata_faq.pdf). Please read the acad_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Maine Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (isha_surficial_geology_metadata.txt or isha_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This dataset contains maps showing the principal attributes of tides around the Australian coast. It has been derived from data published in the Australian National Tide Tables.

Format: shapefile.

Quality - Scope: Dataset. External accuracy: +/- one degree. Non Quantitative accuracy: Data are assumed to be correct. Three datasets describe tidal information around Australia:

Cover_Name, Item_Name, Item_Description:

TIDEMAX, MAX_TIDE_(M), Maximum tidal range in metres.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: ERIN: Data was projected to geographics using the WGS84 datum and spheroid, to be compatible for the Australian Coastal Atlas. The digital datsets were attributed using the information held in the legend (.key) files.

CSIRO: All CAMRIS data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary follows of processing completed by the CSIRO: 1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and The Complete Book of Australian Weather). 2. From the information held in r-BASE a BASE Table was generated incorporating specific fields. 3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point. 4. BASE Table imported into SPANS and a BASE Map generated. 5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level). 6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn). 7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid. 8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats. 9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1:100 000 topographic map series).

This software contains the v1.0.0 release of Nilas: the south ocean mapping platform (https://nilas.org). This mapping tool (beta) has been developed by the Australian Antarctic Division for the Antarctic sea-ice zone to support their research and operational activities. Nilas displays multiple layers of physical and biogeochemical variables. These variables are primarily derived from remotely sensed products and updated as source data become available. The source code is well documented with both readme files and inline comments. This application is written primarily in javascript and was developed using Node.js, vite and a small amount of vue. The Nilas platform was based on the Leaflet open source library. It can be configured to display other Antarctic related geospatial products including raster and vector data.

See the related record, "AAS_4506_NILAS_DATA" for data from this project.

The Solid Geology of the North Australian Craton 1:1M scale dataset 1st edition (2020) is a seamless chronostratigraphic solid geology dataset of the North Australian Craton that covers north of Western Australia, Northern Territory and north-west Queensland. The data maps stratigraphic units concealed under cover by effectively removing the overlying cover (Liu et al., 2015). This dataset comprises five chronostratigraphic time slices, namely: Cenozoic, Mesozoic, Paleozoic, Neoproterozoic, and Pre-Neoproterozoic. As an example, the Mesozoic time slice (or layer) shows Mesozoic age geology that would be present if all Cenozoic units were removed. The Pre-Neoproterozoic time slice shows what would be visible if all Neoproterozoic, Paleozoic, Mesozoic, and Cenozoic units were removed.

Geological units are represented as polygon and line geometries and, are attributed with information regarding stratigraphic nomenclature and hierarchy, age, lithology, and primary data source. The datasets also contains geological contacts, structural features, such as faults and shears, and miscellaneous supporting lines like crater impacts or structural grain within stratigraphic units.

This is the second staged release of Geoscience Australia's national time based solid geology mapping program commenced under the Federal Government’s Exploring for the Future program. The Cenozoic time slice layer was extracted from Raymond, O.L., Liu, S., Gallagher, R., Highet, L.M., Zhang, W., 2012. Surface Geology of Australia, 1:1 000 000 scale, 2012 edition [Digital Dataset]. Geoscience Australia, Commonwealth of Australia, Canberra. http://www.ga.gov.au and retains the data schema of that dataset. For this layer’s metadata, refer to https://pid.geoscience.gov.au/dataset/ga/74619

NOTE: Specialised Geographic Information System (GIS) software is required to view this data.

The ANZLIC Metadata tool uses the ISO 19139 (2005) metadata standard which is the current supported metadata standard used in Australia in its ArcGIS Desktop version 10.4 software package. This metadata tool is intended to be used through the ArcGIS Desktop version 10.4 software accessed via the description tab in ArcCatalog. The tool was previously developed and supported by Esri Australia but this was formally handed over to ANZLIC in 2017. Geoscience Australia in support of ANZLIC has developed this new metadata tool based on the previous work of Esri Australia and the new Esri Inc ArcGIS Desktop 10.4 Metadata toolkit. The tool is intended for users of Esri Inc ArcGIS Desktop version 10.4 software to create ANZLIC compliant ISO 19139 metadata associated with datasets.

Statewide soil and land information can be discovered and viewed through eSPADE or SEED. Datasets include soil profiles, soil landscapes, soil and land resources, acid sulfate soil risk mapping, hydrogeological landscapes, land systems and land use. There are also various statewide coverages of specific soil and land characteristics, such as soil type, land and soil capability, soil fertility, soil regolith, soil hydrology and modelled soil properties.

Both eSPADE and SEED enable soil and land data to be viewed on a map. SEED focuses more on the holistic approach by enabling you to add other environmental layers such as mining boundaries, vegetation or water monitoring points. SEED also provides access to metadata and data quality statements for layers.

eSPADE provides greater functions and allows you to drill down into soil points or maps to access detailed information such as reports and images. You can navigate to a specific location, then search and select multiple objects and access detailed information about them. You can also export spatial information for use in other applications such as Google Earth™ and GIS software.

eSPADE is a free Internet information system and works on desktop computers, laptops and mobile devices such as smartphones and tablets and uses a Google maps-based platform familiar to most users. It has over 42,000 soil profile descriptions and approximately 4,000 soil landscape descriptions. This includes the maps and descriptions from the Soil Landscape Mapping program. eSPADE also includes the base maps underpinning Biophysical Strategic Agricultural Land (BSAL).

For more information on eSPADE visit: https://www.environment.nsw.gov.au/topics/land-and-soil/soil-data/espade

This dataset contains data derived from the GEOSAT satellite radar altimeter wave measuring program. Maps have been produced from processed data, showing attributes including mean significant wave height and the 100 year mean significant wave.

Format: shapefile.

Quality - Scope: Dataset. Absolute External Positional Accuracy: +/- one degree. Non Quantitative accuracy: Attributes are assumed to be correct.

Dataset measures wave height in metres, at 0.25m intervals:

Cover_Name, Item_Name, Description: mswaveheight, GRID-CODE, Numercial code to index the polygons mswaveheight, MSWAVE_HGT_(M), Mean significant wave height ranging 0-4.5m.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: ERIN: Data was projected to Geographics using the WGS84 spheroid and datum to be compatible for viewing through the Australian Coastal Atlas. The data was attributed with the range of wave height in metres, at an interval of 0.25metres.

CSIRO: All CAMRIS data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary follows of processing completed by the CSIRO: 1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and The Complete Book of Australian Weather). 2. From the information held in r-BASE a BASE Table was generated incorporating specific fields. 3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point. 4. BASE Table imported into SPANS and a BASE Map generated. 5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level). 6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn). 7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid. 8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats. 9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1:100 000 topographic map series).

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. These data represent the OZMIN …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. These data represent the OZMIN Oracle relational database containing geological and resource information for Australian mineral deposits. OZMIN has been compiled from published references and has been designed so that attribute information can be retrieved and analysed in relation to spatial data contained in geographic information systems. The national mineral deposits dataset contains data on over one thousand major and historically significant mineral deposits for 60 mineral commodities (including coal). Extracted from the Australian Mines Atlas - 24 July 2013 Dataset History The data within this dataset is derived directly from the corporate ORACLE OZMIN Mineral Deposits database. An ASCII extraction of the Geoscience Australia ORACLE database is generated as ASCII comma-delimited files for each table that is part of or used by the OZMIN database. Only data that is part of the current release of OZMIN (Release 3 - October 2000) is included. An MS ACCESS database format is also replicated from the ORACLE database and uses the same table structure. Only data that is part of the current release of OZMIN (Release 3 - October 2000) is included. The spatial representation of this database in (ArcView and MapInfo format) is extracted and generated using ArcInfo GIS software to meet the published data standard within the Geoscience Australia. The extraction of the spatial GIS datasets is done within ArcInfo using advanced AML code (ORACOV.AML) developed by Dmitar Butrovski, Geoscience Australia. Extracted from the Australian Mines Atlas - 24 July 2013 Original source metadata: http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-b68d-7506-e044-00144fdd4fa6/OZMIN+Mineral+Deposits+Database Dataset Citation Geoscience Australia (2013) Australian Mineral Deposits. Bioregional Assessment Source Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/14e96462-b029-469a-9af8-06410f39589b.

The Broadcasting Services Act 1992 mandates that Commercial and Community broadcasting services are licensed to serve specific geographic areas. These geographic areas are referred to as Licence Areas, and are determined by the Australian Communications and Media Authority (ACMA) in Licence Area Plans (LAPs). The ACMA defines Licence Areas in terms of areas defined by the Australian Bureau of Statistics (ABS) for the purposes of the Australian Census. The smallest area unit currently defined by the ABS is the Collection District (CD).

This dataset comprises the collection of current broadcast Licence Areas, and is made available in five forms:

• the list of Australian Bureau of Statistics CD numbers making up the Licence Area definition, distributed in a comma separated value (CSV) format text file;
• a translation of the ABS CD numbers into the names of the Local Government Areas (LGAs) and Statistical Division (SDs) within the area boundary, known as the Licence Area Description, rendered as an HTML page;
• a geographic map displaying the Licence Area, distributed as a Portable Document Format (PDF) file;
• a spatial dataset for use in GIS software, distributed as a ZIP archive containing ESRI Shapefile Format data files; and
• a Google Earth Placemark (.KMZ) file viewable in the Google Earth application and other software that can display Placemark data.

CAMRIS incorporates the Australian estuarine database, which includes the National Estuaries Study (Bucher and Saenger 1989, http://dx.doi.org/10.1111/j.1467-8470.1991.tb00726.x). Attributes include location, name, climatic variables, run-off coefficients, land use, flood frequency, water quality, habitat types including seagrass/mangrove/saltmarsh, fisheries/conservation/amenity values, administration, literature and threats.

Format: shapefile.

Quality - Scope: Dataset. Absolute External Positional Accuracy: Assumed to be correct. +/- one degree. Non Quantitative accuracy: The estuaries coverage contains 1566 points and the following attributes:

ESTUARY_NO : Inventory number, contains a letter prefix to denote State in which estuary lies. Estuaries are numbered clockwise around the continent.

NAME : Name of major input stream used to identify an estuary unless the estuary itself is named.

GEO_ZONE : Set of 12 coastal geographical zones (ACIUCN 1986).

CLIM_ZONE : Set of 3 named climatic zones.

CATCH_AREA : Catchment Area (sq km).

AVE_ANN_RF : Mean annual rainfall (mm), recorded at station nearest estuary.

RUNOFF_COEF : Runoff figure, best approximation to a catchment average rainfall, usually the average value for the respective drainage basin.

MAX_TIDAL_RANGE : Maximum tidal range (m).

WATER_AREA : Water area (sq km).

SAND-MUD_AREA : Sand and Mud Area (sq km).

MANGROVE_AREA : Area of Mangroves (sq km).

SEAGRASS_AREA : Area of Seagrass (sq km).

SALTMARSH_AREA : Area of Saltmarsh (sq km).

ESTUARINE_AREA : Est area of estuary (sq km).

GALLOWAY_SECTION : Galloway section number - each 3x10km strip is numbered, clockwise around the coast.

LONGITUDE : Longitude of estuary site (dd).

LATITUDE : Latitude of estuary site (dd).

LANDUSE_CODE : % catchment clearance.

FLOOD_REGIME : Frequency of flooding.

WATER-QUAL : Subjective assessment of water quality only.

MANGROVE_COVER : Degree Mangrove cover.

SEAGRASS_COVER : Degree Seagrass cover.

SALTMARSH_COVER : Degree Saltmarsh cover.

FISH_VALUE : Importance of an estuary as a commercial or amateur fishing ground.

FISH_THREAT : Threats to fisheries.

CONS_VALUE : Qualitative conservation values.

CONS_THREAT : Threats to conservation.

AMENITY_VALUE : Amenities value.

ECO_STATUS : Effects of human activity.

RESEARCH : Depth of information used to assess estuary.

ADMIN : Statutory classifications that restricts use.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: ERIN: Projected the estuaries point coverage to geographics with the WGS84 spheroid. The coverage has been attributed with information taken from the Bucher and Saenger (1989) National estuaries inventory.

CSIRO: Data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary of data processing follows:

1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and Complete book of Australian Weather).

2. From the information held in r-BASE a BASE Table was generated incorporating specific fields.

3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point.

4. BASE Table imported into SPANS and a BASE Map generated.

5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level).

6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn).

7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid.

8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats.

9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1:100 000 topographic map series).

The Surface Geology of Australia (2010 edition) is a seamless national coverage of outcrop and surficial geology, compiled for us e at or around 1:1 000 000 scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith m aterial covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information r egarding stratigraphic nomenclature and parentage, age, lithology, and primary data source. The dataset also contains geological contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice bodies.

The dataset has been compiled from merging the seven State and Territory 1:1 000 000 scale surface geology datasets released by G eoscience Australia between 2006 and 2008, correcting errors and omissions identified in those datasets, addition of some offshor e island territories, and updating stratigraphic attribute information to the best available in 2010 from the Australian Stratigr aphic Units Database (http://www.ga.gov.au/oracle/stratnames/index.jsp). The map data were compiled largely from simplifying and edgematching existing 1:250 000 scale geological maps. Where these maps were not current, more recent source maps, ranging in s cale from 1:50 000 to 1:1 000 000 were used. In some areas where the only available geological maps were quite old and poorly lo cated, some repositioning of mapping using recent satellite imagery or geophysics was employed.

This data is freely available from Geoscience Australia under the Creative Commons Attribution 2.5 Australia Licence.

It is recommended that these data be referred to as:

Raymond, O.L., Retter, A.J., (editors), 2010. Surface geology of Australia 1:1,000,000 scale, 2010 edition [Digital Dataset] Geoscience Australia, Commonwealth of Australia, Canberra. http://www.ga.gov.au

Specialised Geographic Information System (GIS) software is required to view this data.

Descriptions of MAP_SYMB attribute field:
MAP_SYMB format = Drxy

1. D = unit age. Two letters may be used for units spanning for than one age periods.
   
   

Cenozoic Cz
Quaternary Q
Mesozoic Mz
Cretaceous K
Jurassic J
Triassic -R
Paleozoic Pz
Permian P
Carboniferous C
Devonian D
Silurian S
Ordovician O
Cambrian -C
Proterozoic -P
Neoproterozoic N
Mesoproterozoic M
Paleoproterozoic L
Archean A

2. r = gross rock descriptor. A one letter code to reflect the broad lithological composition of the unit

IGNEOUS EXAMPLES
g felsic to intermediate intrusive granite, granodiorite, tonalite, monzonite, diorite, syenite
d mafic intrusive gabbro, dolerite, norite
f felsic extrusive / high level intrusive rhyolite, dacite, ignimbrite, pyroclastic rocks
a intermediate extrusive / high level intrusive andesite, trachyte, latite, pyroclastic rocks
b mafic extrusive / high level intrusive basalt, scoria, shoshonite, pyroclastic rocks
u ultramafic undivided (intrusive & extrusive) komatiite, high Mg basalt, pyroxenite, dunite, wehrlite
k alkaline ultramafic kimberlite, lamprophyre, carbonatite

SEDIMENTARY
s siliciclastic/undifferentiated sediment shale, siltstone, sandstone, conglomerate, mudstone
j volcanogenic sediment epiclastic sediments and breccias, greywacke, arkose
l carbonate sediment limestone, marl, dolomite
c non-carbonate chemical sediment chert, evaporite, phosphorite, BIF
o organic-rich rock coal, amber, oil shale

MIXED SEDIMENTARY & IGNEOUS
v felsic & mafic volcanics
i felsic & mafic intrusives
w volcanics & sediments

METAMORPHIC
y low-medium grade meta clastic sediment slate, phyllite, schist, quartzite
t low-medium grade metabasite mafic schist, greenstone, amphibolite
r low-medium grade metafelsite rhyolitic schist, meta-andesite
m calc-silicate and marble meta carbonates and calcareous sediments
n high grade metamorphic rock gneiss, granulite, migmatite
p high-P metamorphic rock eclogite, blueschist
h contact metamorphic rock hornfels, spotted slate
e metamorphosed ultramafic rocks serpentinite, talc schist, chlorite schist (no feldspars), tremolite schist, ultr amafic amphibolite

OTHER
z fault / shear rock mylonite, fault breccia, cataclasite, gouge
q vein quartz vein, carbonate vein
x complex, melange, undivided, unknown

1. xy = One or two letters to reflect the stratigraphic name of a unit. Where practical, these letters reflect stratigraphic g rouping or hierarchy. For instance, formations within a named group should have letter symbols reflecting their parent group.
   
   

eg: Tomkinson Creek Group - Lsk
Bootu Formation - Lskb

Two full-colour map sheets (at 1:5 million and 1:10 million scales) that show the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and associated mineral deposits throughout the continent. These rocks have been assigned to 30 Magmatic Events (ME) ranging in age from the Early Palaeoproterozoic ~2455 Ma (ME 1) to the Early Cambrian ~520 Ma (ME 30). The presence and correlation of these Magmatic Events into five Major Crustal Elements and 28 provinces are represented in a Time-Space-Event Chart on Sheet 2. Enlarged inset maps on Sheet 1 provide in more detail the polygon and line data of certain regions, and other inset maps on Sheet 2 show the distribution of Proterozoic and Archaean rocks, mineral deposits and occurrences, and five Large Igneous Provinces (LIPs).

This national map supersedes two similar 'Proterozoic Mafic-Ultramafic Magmatic Events' maps relating to Western Australia (2006; GeoCat 64813) and the Northern Territory-South Australia (2007; GeoCat 65257). A user guide to the map series is described in Geocat 66624.

A georeferenced image of the map Australian Proterozoic Mafic-Ultramafic Magmatic Events (Sheet 1) is also provided. The image shows spatial distribution of Proterozoic (2500 Ma to 545 Ma) mafic-ultramafic magmatic events in Australia. The map illustrates for the first time, the continental extent and age relationships of Proterozoic mafic and ultramafic rocks and their associated mineral deposits.

The image has been georeferenced using ESRI ArcGIS 9.3 software. Projection: Lambert Conformal Conic Datum: Geocentric Datum of Australia 1994 False Easting: 0.00000000 False Northing: 0.00000000 Central Meridian: 134.00000000 Standard Parallel 1: -18.00000000; Standard Parallel 2: -36.00000000 Latitude Of Origin: 0.00000000

The package contains five files contained in a ZIP file [ZIP 25MB]: geo_national_mafic_part1_300dpi1.rrd geo_national_mafic_part1_300dpi1.xml geo_national_mafic_part1_300dpi1.aux geo_national_mafic_part1_300dpi1.jpg geo_national_mafic_part1_300dpi1.jwg

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The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the legacy WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef. The majority of the layers corresponding to Glenn De'ath's interpolated maps of the GBR developed under the MTSRF program (2008-2010).

This web map service is predominantly maintained for the legacy eAtlas map viewer (http://maps.eatlas.org.au/geoserver/www/map.html). All the these legacy map layers are available through the new eAtlas mapping portal (http://maps.eatlas.org.au), however the legends have not been ported across.

This WMS is implemented using GeoServer version 1.7 software hosted on a server at the Australian Institute of Marine Science.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/geoserver/wms?"

Note: this service has around 460 layers of which approximately half the layers correspond to Standard Error maps, which are WRONG (please ignore all *Std_Error layers.

This services is operated by the Australian Institute of Marine Science and co-funded by the MTSRF program.

Aerial photography has been an important means of acquiring spatial data in Antarctica and the subantarctic islands, though satellite imagery is playing an increasingly important role. The …Show full descriptionAerial photography has been an important means of acquiring spatial data in Antarctica and the subantarctic islands, though satellite imagery is playing an increasingly important role. The Australian Antarctic Data Centre's collection of aerial photographs includes (but is not limited to) the following. 1 Vertical and oblique aerial photography of the Australian Antarctic Territory coastline and some inland areas, acquired by the US Navy during Operation Highjump in 1946/47. 2 Vertical and oblique aerial photography flown by National Mapping (now part of Geoscience Australia) during 1954 - 1965 from fixed wing aircraft, mainly using a K17 trimetrigon camera. From 1960 the vertical camera in the system was replaced with a Wild RC9. An Eagle V camera was also used in 1963. The photography was acquired along the Australian Antarctic Territory coastline and over the Prince Charles Mountains. 3 Comprehensive and systematic coverages of the Prince Charles Mountains and Enderby Land flown by National Mapping from a fixed wing aircraft in the 1970s using a Wild RC 9 camera. 4 Photography acquired since 1977 from helicopters using non-metric Hasselblad and Linhof cameras. This photography was acquired principally for life science research and was not intended to be used for mapping. The photography was acquired over Heard Island, Macquarie Island, the Larsemann Hills, the Windmill Islands, the Vestfold Hills and Mawson Coast. 5 Photography acquired since 1992/93 by the Australian Antarctic Division and AUSLIG (now part of Geoscience Australia) from helicopters using a Zeiss UMK camera. It has been used to acquire photography for large scale mapping of the Australian Antarctic Territory, Heard Island and Macquarie Island. 6 Photography acquired since 2000 by the Australian Antarctic Division from helicopters using a Wild RC8 camera. A revision of the guidelines for overflight heights over animal colonies required that animal census photography be done with a camera with a longer focal length than the Linhof camera previously used for this type of work. This was in order to maintain the same scale at a greater height. The Wild RC8 camera has also been used for photography for mapping at the Windmill Islands. 7 Photography of sea ice acquired since 2003 by the Australian Antarctic Division from helicopters using a digital Nikon D1X digital camera. 8 Photography of Adelie penguin colonies and other features acquired since 2009/10 by the Australian Antarctic Division from helicopters using a digital Hasselblad H3D-II 50 digital camera. Digital flight lines and photo centres have been generated to represent the runs along which the photographs were taken and the centres of the photographs. The photos are scanned on a needs basis. Most of the Operation Highjump photos have been scanned but overall a minority of the photos have been scanned. Preview images have been created of the scanned photos. The scanning of the Operation Highjump photos is described by a separate metadata record: 'Digital images of Operation Highjump aerial photography'. The collection can be searched in two ways. 1 A web search - see Aerial Photograph Catalogue link below. Preview images of the scanned photos may be viewed using this search. In addition to the search, the Catalogue has tabs with information about viewing or obtaining photographs, the cameras used and further historical information. 2 The flight line and photo centre data can be downloaded as shapefiles (refer to url below) and overlaid on topographic data in GIS software such as ArcGIS. The Australian Antarctic Data Centre (AADC) has mainly large to medium scale data topographic data available for download - refer to url below. There are some flight lines for which photo centres have not yet been generated and some photo centres for which flight lines have not yet been generated. This is being done gradually over time. The flight line and photo centre shapefiles available for download will be updated about every six months. Also available for download is a document with information about the cameras and a timeline for the photography - refer to url below.

Aerial photography has been an important means of acquiring spatial data in Antarctica and the subantarctic islands, though satellite imagery is playing an increasingly important role.

The Australian Antarctic Data Centre's collection of aerial photographs includes (but is not limited to) the following.

1 Vertical and oblique aerial photography of the Australian Antarctic Territory coastline and some inland areas, acquired by the US Navy during Operation Highjump in 1946/47.

2 Vertical and oblique aerial photography flown by National Mapping (now part of Geoscience Australia) during 1954 - 1965 from fixed wing aircraft, mainly using a K17 trimetrigon camera. From 1960 the vertical camera in the system was replaced with a Wild RC9. An Eagle V camera was also used in 1963. The photography was acquired along the Australian Antarctic Territory coastline and over the Prince Charles Mountains.

3 Comprehensive and systematic coverages of the Prince Charles Mountains and Enderby Land flown by National Mapping from a fixed wing aircraft in the 1970s using a Wild RC 9 camera.

4 Photography acquired since 1977 from helicopters using non-metric Hasselblad and Linhof cameras. This photography was acquired principally for life science research and was not intended to be used for mapping. The photography was acquired over Heard Island, Macquarie Island, the Larsemann Hills, the Windmill Islands, the Vestfold Hills and Mawson Coast.

5 Photography acquired since 1992/93 by the Australian Antarctic Division and AUSLIG (now part of Geoscience Australia) from helicopters using a Zeiss UMK camera. It has been used to acquire photography for large scale mapping of the Australian Antarctic Territory, Heard Island and Macquarie Island.

6 Photography acquired since 2000 by the Australian Antarctic Division from helicopters using a Wild RC8 camera. A revision of the guidelines for overflight heights over animal colonies required that animal census photography be done with a camera with a longer focal length than the Linhof camera previously used for this type of work. This was in order to maintain the same scale at a greater height. The Wild RC8 camera has also been used for photography for mapping at the Windmill Islands.

7 Photography of sea ice acquired since 2003 by the Australian Antarctic Division from helicopters using a digital Nikon D1X digital camera.

8 Photography of Adelie penguin colonies and other features acquired since 2009/10 by the Australian Antarctic Division from helicopters using a digital Hasselblad H3D-II 50 digital camera.

Digital flight lines and photo centres have been generated to represent the runs along which the photographs were taken and the centres of the photographs.

The photos are scanned on a needs basis. Most of the Operation Highjump photos have been scanned but overall a minority of the photos have been scanned. Preview images have been created of the scanned photos. The scanning of the Operation Highjump photos is described by a separate metadata record: 'Digital images of Operation Highjump aerial photography'.

The collection can be searched in two ways.

1 A web search - see Aerial Photograph Catalogue link below. Preview images of the scanned photos may be viewed using this search. In addition to the search, the Catalogue has tabs with information about viewing or obtaining photographs, the cameras used and further historical information.

2 The flight line and photo centre data can be downloaded as shapefiles (refer to url below) and overlaid on topographic data in GIS software such as ArcGIS. The Australian Antarctic Data Centre (AADC) has mainly large to medium scale data topographic data available for download - refer to url below.

There are some flight lines for which photo centres have not yet been generated and some photo centres for which flight lines have not yet been generated. This is being done gradually over time. The flight line and photo centre shapefiles available for download will be updated about every six months.

Also available for download is a document with information about the cameras and a timeline for the photography - refer to the provided URL.

Area layers of US, Australia, and Canada building footprints for use with GIS mapping software, databases, and web applications.

The SCAR Spatial Data Model has been developed for Geoscience Standing Scientific Group (GSSG). It was presented to XXVII SCAR, 15-26 July 2002, in Shanghai, China. The Spatial Data Model is one of nine projects of the Geographic Information Program 2000-2002. The goal of this project is 'To provide a SCAR standard spatial data model for use in SCAR and national GIS databases.' Activities within this project include:

Continue developing the SCAR Feature Catalogue and the SCAR Spatial Data Model Provide SCAR Feature Catalogue online Creation and incorporation of symbology Investigate metadata / data quality requirements Ensure compliance to ISO TC211 and OGC standards

Source: http://www.geoscience.scar.org/geog/geog.htm#stds Spatial data are increasingly being available in digital form, managed in a GIS and distributed on the web. More data are being exchanged between nations/institutions and used by a variety of disciplines. Exchange of data and its multiple use makes it necessary to provide a standard framework. The Feature Catalogue is one component of the Spatial Data Model, that will provide the platform for creating understandable and accessible data to users. Care has been taken to monitor the utility of relevant emerging ISO TC211 standards. The Feature Catalogue provides a detailed description of the nature and the structure of GIS and map information. It follows ISO/DIS 19110, Geographic Information - Methodology for feature cataloguing. The Feature Catalogue can be used in its entirety, or in part. The Feature Catalogue is a dynamic document, that will evolve with use over time. Considerable effort has gone into ensuring that the Feature Catalogue is a unified and efficient tool that can be used with any GIS software and at any scale of geographic information. The structure includes data quality information, terminology, database types and attribute options that will apply to any GIS. The Feature Catalogue is stored in a database to enable any component of the information to be easily viewed, printed, downloaded and updated via the Web.