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We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","id":798},{"minlongitude":96.81523,"enabled":true,"notes":"","source":"PSMA Australia Limited","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:psma_lga_2018&format=image/png&styles=","licence_notes":"CC-BY-4.0","classification1":"Political","path_orig":"layer/psma_lga_2018","source_link":"https://data.gov.au/dataset/psma-administrative-boundaries","environmentalvaluemin":"","description":"Local Government Areas","citation_date":"2018-11-01","type":"Contextual","keywords":"psma, local government, boundaries","datalang":"eng","name":"psma_lga_2018","metadatapath":"https://data.gov.au/dataset/psma-administrative-boundaries","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","classification2":"","maxlatitude":-9.08799,"minlatitude":-43.86037,"displayname":"Local Government Areas PSMA 2018","environmentalvalueunits":"","mddatest":"2018-11-01","dt_added":1562236074337,"environmentalvaluemax":"","licence_level":"1","maxlongitude":159.28164,"id":10923},{"enabled":true,"name":"ced_2021","citation_date":"2024-06-11","maxlongitude":180.0,"licence_notes":"CC-BY","dt_added":1718332680825,"classification1":"Political","mddatest":"2021-10-06","classification2":"Electoral Boundaries","minlongitude":-180.0,"source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","description":"Commonwealth Electoral Divisions are an ABS Mesh Block approximation of Australian Electoral Commission (AEC) federal electoral divisions. AEC electoral divisions are areas legally prescribed for the purpose of returning members to the House of Representatives. ABS Commonwealth Electoral Divisions are based on the AEC electoral division boundaries available prior to publication. Commonwealth Electoral Divisions may change as the AEC revise their boundaries. Where this occurs, Commonwealth Electoral Divisions will be updated annually, together with updates to other Non ABS Structures. The 2021 Commonwealth Electoral Divisions remain current at this time. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.\r\n\r\nThere are 170 Commonwealth Electoral Divisions covering the whole of Australia without gaps or overlaps. This incorporates 19 non-spatial special purpose codes including a new Outside Australia code. Further information regarding types of special purpose codes can be found in the Commonwealth Electoral Division coding structure section below.\r\n\r\nin WGS84 CRS.","type":"Contextual","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/commonwealth-electoral-divisions","respparty_role":"Processor","displayname":"Commonwealth Electoral Divisions 2021","keywords":"election, electoral divisions, electoral, elect, commonwealth","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","path_orig":"layer/ced_2021","maxlatitude":90.0,"minlatitude":-90.0,"licence_level":"1","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ced_2021&format=image/png&styles=","id":11163},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"displayname":"WorldClim: Precipitation - warmest quarter","metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","name":"worldclim_bio_18","uid":"797","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","citation_date":"","path":"/mnt/transfer/worldclim/bio_18.tif","minlongitude":-180.0,"environmentalvalueunits":"mm","path_orig":"layer/worldclim_bio_18","mdhrlv":"","scale":"0.01 degree (~1km)","classification2":"Precipitation","minlatitude":-60.0,"keywords":"rain, bio18","licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvaluemin":"0","datalang":"eng","source_link":"http://www.worldclim.org/","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_18&format=image/png&styles=","path_1km":"","type":"Environmental","domain":"Terrestrial","environmentalvaluemax":"6090","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","description":"Precipitation of Warmest Quarter","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","id":797},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","name":"worldclim_bio_16","enabled":true,"environmentalvaluemax":"8019","metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","description":"Precipitation of Wettest Quarter","uid":"796","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","citation_date":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_16&format=image/png&styles=","minlongitude":-180.0,"environmentalvalueunits":"mm","mdhrlv":"","displayname":"WorldClim: Precipitation - wettest quarter","path_orig":"layer/worldclim_bio_16","scale":"0.01 degree (~1km)","keywords":"rain, bio16","classification2":"Precipitation","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvaluemin":"0","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. 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Redistribution, or commercial use, is not allowed without prior permission.","environmentalvalueunits":"degrees C * 10","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"path":"/mnt/transfer/worldclim/bio_11.tif","classification1":"Climate","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_11&format=image/png&styles=","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","keywords":"bio11","description":"Mean Temperature of Coldest Quarter","displayname":"WorldClim: Temperature - coldest quarter mean","id":795},{"displayname":"WorldClim: Temperature - warmest quarter mean","uid":"792","lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","path":"/mnt/transfer/worldclim/bio_10.tif","name":"worldclim_bio_10","citation_date":"","description":"Mean Temperature of Warmest Quarter","path_orig":"layer/worldclim_bio_10","minlongitude":-180.0,"environmentalvaluemax":"383","mdhrlv":"","environmentalvaluemin":"-143","scale":"0.01 degree (~1km)","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvalueunits":"degrees C * 10","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","keywords":"bio10","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_10&format=image/png&styles=","id":792},{"description":"Mean Temperature of Wettest Quarter","lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","path_orig":"layer/worldclim_bio_8","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","citation_date":"","displayname":"WorldClim: Temperature - wettest quarter mean","minlongitude":-180.0,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_8&format=image/png&styles=","path":"/mnt/transfer/worldclim/bio_8.tif","mdhrlv":"","scale":"0.01 degree (~1km)","environmentalvaluemin":"-285","minlatitude":-60.0,"uid":"784","licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvalueunits":"degrees C * 10","datalang":"eng","source_link":"http://www.worldclim.org/","environmentalvaluemax":"378","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","keywords":"rain, precipitation, bio08","name":"worldclim_bio_8","id":784},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"name":"worldclim_bio_5","metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"path_orig":"layer/worldclim_bio_5","dt_added":1308837600000,"pid":"","displayname":"WorldClim: Temperature - warmest month max","citation_date":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_5&format=image/png&styles=","minlongitude":-180.0,"mdhrlv":"","environmentalvaluemin":"-96","keywords":"bio05","scale":"0.01 degree (~1km)","path":"/mnt/transfer/worldclim/bio_5.tif","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","description":"Max Temperature of Warmest Month","environmentalvalueunits":"degrees C * 10","uid":"789","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","environmentalvaluemax":"490","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","id":789},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","name":"worldclim_bio_4","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","citation_date":"","keywords":"range, mean, ratio, bio04","environmentalvalueunits":"standard deviation (degrees C * 10) * 100","minlongitude":-180.0,"environmentalvaluemax":"22721","mdhrlv":"","path":"/mnt/transfer/worldclim/bio_4.tif","scale":"0.01 degree (~1km)","minlatitude":-60.0,"uid":"783","licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_4&format=image/png&styles=","description":"Temperature Seasonality","datalang":"eng","source_link":"http://www.worldclim.org/","environmentalvaluemin":"62","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","path_orig":"layer/worldclim_bio_4","mddatest":"2010-07","licence_level":"1","displayname":"WorldClim: Temperature - seasonality","id":783},{"notes":"The GEN Register is an online resource that contains the geographic extents of thousands of geographic objects. These objects range from maps sheets, navigational charts, oceans and rivers, through to States, Territories and Local Government Areas.\r\n\r\nThe register has been developed by ANZLIC—the Spatial Information Council to assist users complete the GEN element of the ANZLIC metadata guidelines. This element requires users to specify the ordinary name of one or more predefined geographic objects that reasonably show the geographic coverage of their dataset.","licence_link":"http://www.ga.gov.au/meta/ANZCW0703006041.html","lookuptablepath":"","enabled":true,"keywords":"local, government, area, administate, region, state, territory","name":"aus2","metadatapath":"http://www.ga.gov.au/meta/ANZCW0703006041.html","environmentalvalueunits":"region","scale":"","pid":"","path_orig":"layer/aus2","classification1":"Political","displayname":"Local Government Areas 2012 deprecated","uid":"23","minlatitude":-55.11694,"source":"ANZLIC","maxlatitude":-9.2211,"path":"/mnt/ala/data/contextual/aus2","environmentalvaluemin":"","dt_added":1317906000000,"mdhrlv":"","type":"Contextual","citation_date":"2001","description":"LGA Boundaries (superceeded by update Local Government Areas 2012_02_17)","datalang":"eng","mddatest":"2001-08","licence_notes":"","path_1km":"","domain":"Terrestrial","classification2":"","maxlongitude":159.25609,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:aus2&format=image/png&styles=","source_link":"http://www.anzlic.org.au/infrastructure_GEN.html","environmentalvaluemax":"","respparty_role":"custodian","licence_level":"1","minlongitude":112.91972,"id":23},{"maxlatitude":-9.0,"lookuptablepath":"","enabled":true,"uid":"899","pid":"","keywords":"diversity, occurrence, sample, average","citation_date":"","path_orig":"layer/srichness","minlatitude":-43.8,"domain":"Terrestrial,Marine","name":"srichness","environmentalvaluemax":"7791","mdhrlv":"","description":"Species Richness","respparty_role":"","licence_link":"","scale":"0.01 degree (~1km)","displayname":"Species Richness","environmentalvaluemin":"0","mddatest":"","maxlongitude":153.64,"licence_notes":"","source_link":"","path_1km":"","notes":"Species Richness is derived by applying a moving average to all point occurrences held by the Atlas of Living Australia. If all occurrences are mapped (over terrestrial and marine areas), a moving average is like moving a window with many panes over the area, noting the number of differences species in each pane and placing the average of all panes at the centre pane. The window is moved to the next sample location and the process repeated. Species Richness uses a 9 by 9 pane window where each pane is 0.01 degrees latitude/longitude. Each move of the window is 0.01 degrees.\r\n\r\nScope: World","type":"Environmental","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:srichness&format=image/png&styles=","classification2":"","minlongitude":112.9,"datalang":"","licence_level":"1","dt_added":1439301600000,"classification1":"Biodiversity","environmentalvalueunits":"frequency","path":"/data/ala/data/source/occurrence_layers/layer_species_av_1.tif","metadatapath":"http://www.ala.org.au/","source":"ALA-SPATIAL","id":899},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","name":"worldclim_bio_6","maxlongitude":180.0,"displayname":"WorldClim: Temperature - coldest month min","environmentalvaluemin":"-573","path_orig":"layer/worldclim_bio_6","dt_added":1308837600000,"pid":"","citation_date":"","minlongitude":-180.0,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_6&format=image/png&styles=","mdhrlv":"","keywords":"bio06","scale":"0.01 degree (~1km)","uid":"781","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","description":"Min Temperature of Coldest Month","environmentalvalueunits":"degrees C * 10","datalang":"eng","source_link":"http://www.worldclim.org/","environmentalvaluemax":"258","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","path":"/mnt/transfer/worldclim/bio_6.tif","id":781},{"source_link":"http://coralreefresearch.com","lookuptablepath":"","enabled":true,"scale":"","pid":"","name":"australian_coral_ecoregions","citation_date":"2011-01-20","uid":"917","displayname":"Australian Coral Ecoregions","path":"/data/ala/shapefiles/coral_ecoregions","keywords":"coral","minlatitude":-39.44894,"maxlongitude":162.87145,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:australian_coral_ecoregions&format=image/png&styles=","licence_notes":"Attribution: J. Veron Coral Reef Research Licence: Creative Commons Attribution-Non-Commercial 3.0 Australia","environmentalvaluemax":"99","classification1":"Area Management","mdhrlv":"","dt_added":1339855200000,"type":"Contextual","source":"Coral Reef Research - J.E.N. Veron","minlongitude":96.05371,"licence_link":"http://creativecommons.org.au/learn-more/licences","notes":"Australian Coral Ecoregions:\r\n - Arnhem Land\r\n - Central & North GBR\r\n - Keppel Islands & Capricorn Bunker Reefs, Souther GBR\r\n - Darwin\r\n - Rowley Shoals\r\n - Ningaloo Reef & NW Western Australia\r\n - SW West Australia\r\n - Recherche Archipelago\r\n - Houtman Abrolhos Islands\r\n - Direction Bank\r\n - Ashmore Reef\r\n - Scott Reef\r\n - Christmas Island\r\n - Cocos Keeling\r\n - Arafura Sea Gulf of Carpenteria\r\n - Shark Bay\r\n - Kimberley Coast\r\n - Elizabeth & Middleton Reefs\r\n - Lord Howe Island\r\n - Solitary Islands\r\n - Moreton Bay\r\n - Pompey & Swain Reefs, South-east GBR\r\n - Torres Strait & far Northern GBR\r\n - South-east Australia\r\n - Coral Sea","extents":"","domain":"Marine","environmentalvaluemin":"0","environmentalvalueunits":"class","datalang":"eng","path_1km":"","mddatest":"2011-08-01","description":"Australian Coral Ecoregions","maxlatitude":-4.23292,"path_orig":"layer/australian_coral_ecoregions","metadatapath":"http://coralreefresearch.com","licence_level":"2","respparty_role":"author","classification2":"Biodiversity","id":917},{"lookuptablepath":"","enabled":true,"maxlongitude":151.61276,"scale":"","description":"ger hunter areas of interest","source_link":"http://www.greateasternranges.org.au/","pid":"","maxlatitude":-31.43936,"minlatitude":-32.70999,"uid":"907","path_orig":"layer/ger_hunter_areas_of_interest","keywords":"GER, administrative, manage, region","dt_added":1317906000000,"environmentalvaluemax":"99","classification1":"Area Management","citation_date":"2006","mdhrlv":"","type":"Contextual","name":"ger_hunter_areas_of_interest","licence_link":"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries","extents":"","environmentalvaluemin":"0","minlongitude":149.61091,"notes":"GER Hunter Partnership Areas of Interest. Developed in consultation with the partner steering committee and using mapping of habitat and corridor models undertaking by the Landscape Modelling and Decision Support Section (Armidale) in NSW DECCW.","environmentalvalueunits":"class","datalang":"eng","path_1km":"","path":"/data/ala/shapefiles/ger","domain":"Terrestrial","metadatapath":"http://www.greateasternranges.org.au/","classification2":"Great Eastern Ranges","mddatest":"2009-08","respparty_role":"custodian","licence_level":"1","displayname":"Hunter Areas Of Interest","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_hunter_areas_of_interest&format=image/png&styles=","source":"GER","id":907},{"lookuptablepath":"","enabled":true,"path_orig":"layer/ger_k2c_management_regions_oct2009","keywords":"GER, manage, adminstrate, region, border, coast, hunter, Kosciuszko, slope, summit, region","scale":"","source_link":"http://www.greateasternranges.org.au/","pid":"","maxlatitude":-34.96841,"uid":"908","dt_added":1317906000000,"environmentalvaluemax":"99","classification1":"Area Management","citation_date":"2006","mdhrlv":"","name":"ger_k2c_management_regions_oct2009","type":"Contextual","licence_link":"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries","extents":"","minlatitude":-36.84002,"environmentalvaluemin":"0","environmentalvalueunits":"class","datalang":"eng","displayname":"K2C Management Regions","maxlongitude":150.51089,"path_1km":"","path":"/data/ala/shapefiles/ger","notes":"GER Kosciuszko to Coast (K2C) Partnership Area. Management areas within the boundary are defined by subcatchment boundaries. Management areas data set was developed by Bush Heritage Australia (BHA) in consultation with the K2C partnership steering committee.","domain":"Terrestrial","description":"ger k2c management regions","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_k2c_management_regions_oct2009&format=image/png&styles=","metadatapath":"http://www.greateasternranges.org.au/","classification2":"Great Eastern Ranges","mddatest":"2009-08","respparty_role":"custodian","licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","minlongitude":148.24857,"id":908},{"maxlatitude":-9.0,"enabled":true,"notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","environmentalvalueunits":"degrees C","dt_added":1308837600000,"path":"/data/ala/data/source/bioclim1990-asc/bio9.tif","uid":"875","licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","displayname":"Temperature - driest quarter mean (Bio09)","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio9&format=image/png&styles=","path_orig":"layer/bioclim_bio9","minlatitude":-43.8,"name":"bioclim_bio9","metadatapath":"http://fennerschool.anu.edu.au/publications/software/","environmentalvaluemax":"28.2999992370605","source":"CSIRO Ecosystem Sciences","scale":"0.01 degree (~1km)","maxlongitude":153.64,"datalang":"eng","type":"Environmental","domain":"Terrestrial","environmentalvaluemin":"2.5","classification2":"Temperature","description":"Temperature - driest quarter mean (Bio09)","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","licence_level":"1","citation_date":"2008-02","id":875},{"maxlatitude":-9.0,"enabled":true,"uid":"894","environmentalvaluemin":"15.3999996185303","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio26&format=image/png&styles=","dt_added":1308837600000,"environmentalvaluemax":"28.3999996185303","licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"metadatapath":"http://fennerschool.anu.edu.au/publications/software/","name":"bioclim_bio26","source":"CSIRO Ecosystem Sciences","environmentalvalueunits":"MJ/m2/day","keywords":"solar, sun","description":"Radiation - warmest quarter  (Bio26)","displayname":"Radiation - warmest quarter  (Bio26)","scale":"0.01 degree (~1km)","maxlongitude":153.64,"datalang":"eng","classification2":"Solar radiation","type":"Environmental","domain":"Terrestrial","minlongitude":112.9,"path":"/data/ala/data/source/bioclim1990-asc/bio26.tif","classification1":"Climate","path_orig":"layer/bioclim_bio26","mddatest":"2010-08","licence_level":"1","citation_date":"2008-02","id":894},{"lookuptablepath":"","enabled":true,"minlongitude":146.89583,"scale":"","uid":"910","source_link":"http://www.greateasternranges.org.au/","pid":"","maxlongitude":147.5312,"minlatitude":-35.69409,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_s2s_priority_area_billabong_creek_v01&format=image/png&styles=","maxlatitude":-35.58691,"dt_added":1317906000000,"environmentalvaluemax":"99","classification1":"Area Management","citation_date":"2006","mdhrlv":"","description":"ger priority area billabong creek","type":"Contextual","keywords":"GER, slope, summit, region","displayname":"S2S Priority Area Billabong Creek v01","licence_link":"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries","extents":"","environmentalvaluemin":"0","environmentalvalueunits":"class","datalang":"eng","path_1km":"","path":"/data/ala/shapefiles/ger","domain":"Terrestrial","notes":"GER Slopes to Summit Partnership priority area (Billabong Creek).  Developed in consultation with the partner steering committee and using mapping of habitat and corridor models undertaking by the Landscape Modelling and Decision Support Section (Armidale) in NSW DECCW.","metadatapath":"http://www.greateasternranges.org.au/","classification2":"Great Eastern Ranges","path_orig":"layer/ger_s2s_priority_area_billabong_creek_v01","mddatest":"2009-08","respparty_role":"custodian","licence_level":"1","name":"ger_s2s_priority_area_billabong_creek_v01","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":910},{"maxlatitude":-9.0,"enabled":true,"description":"Precipitation - coldest quarter (Bio19)","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"metadatapath":"http://fennerschool.anu.edu.au/publications/software/","environmentalvalueunits":"mm","source":"CSIRO Ecosystem Sciences","path_orig":"layer/bioclim_bio19","path":"/data/ala/data/source/bioclim1990-asc/bio19.tif","scale":"0.01 degree (~1km)","classification2":"Precipitation","environmentalvaluemin":"2","uid":"863","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio19&format=image/png&styles=","keywords":"rain","maxlongitude":153.64,"datalang":"eng","type":"Environmental","domain":"Terrestrial","environmentalvaluemax":"1044","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","name":"bioclim_bio19","displayname":"Precipitation - coldest quarter (Bio19)","licence_level":"1","citation_date":"2008-02","id":863},{"maxlatitude":-9.0,"enabled":true,"environmentalvaluemax":"2817","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","description":"Precipitation - wettest quarter (Bio16)","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"metadatapath":"http://fennerschool.anu.edu.au/publications/software/","environmentalvaluemin":"46","environmentalvalueunits":"mm","source":"CSIRO Ecosystem Sciences","path_orig":"layer/bioclim_bio16","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio16&format=image/png&styles=","scale":"0.01 degree (~1km)","classification2":"Precipitation","path":"/data/ala/data/source/bioclim1990-asc/bio16.tif","keywords":"rain","uid":"886","maxlongitude":153.64,"datalang":"eng","type":"Environmental","domain":"Terrestrial","displayname":"Precipitation - wettest quarter (Bio16)","name":"bioclim_bio16","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","licence_level":"1","citation_date":"2008-02","id":886},{"lookuptablepath":"","enabled":true,"displayname":"S2S Priority Areas v05","path_orig":"layer/ger_s2s_priority_areas_v05","uid":"911","scale":"","source_link":"http://www.greateasternranges.org.au/","pid":"","minlatitude":-36.08883,"notes":"GER Slopes to Summit Partnership priority areas.  Developed in consultation with the partner steering committee and using mapping of habitat and corridor models undertaking by the Landscape Modelling and Decision Support Section (Armidale) in NSW DECCW.","minlongitude":146.66861,"keywords":"GER, slope, summit, manage, region","description":"ger s2s priority areas","dt_added":1317906000000,"environmentalvaluemax":"99","classification1":"Area Management","citation_date":"2006","mdhrlv":"","type":"Contextual","licence_link":"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries","extents":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_s2s_priority_areas_v05&format=image/png&styles=","environmentalvaluemin":"0","environmentalvalueunits":"class","datalang":"eng","path_1km":"","path":"/data/ala/shapefiles/ger","domain":"Terrestrial","maxlongitude":148.21198,"metadatapath":"http://www.greateasternranges.org.au/","classification2":"Great Eastern Ranges","mddatest":"2009-08","name":"ger_s2s_priority_areas_v05","respparty_role":"custodian","licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","maxlatitude":-35.47128,"source":"GER","id":911},{"name":"sed_2022","enabled":true,"citation_date":"2024-06-12","maxlongitude":180.0,"licence_notes":"CC-BY","dt_added":1718339053919,"keywords":"election, electoral, boundary, electoral divisions","classification1":"Political","path_orig":"layer/sed_2022","mddatest":"2021-10-06","description":"State Electoral Divisions are an ABS Mesh Block approximation of state electoral districts as defined by state and territory electoral commissions. A state electoral district is an area legally prescribed for the purpose of returning one or more members to the state or territory lower houses of parliament, or the relevant equivalent. State Electoral Divisions are based on the most up to date state electoral districts available prior to publication. State Electoral Divisions may change as State or Territory authorities revise their boundaries. When this occurs, State Electoral Divisions will be updated annually together with updates of other Non ABS Structures. ABS approximations of administrative boundaries do not match official legal boundaries, and should only be used for statistical purposes. Victoria, Western Australia, and Tasmania have extra boundaries that represent their upper house state electoral districts, and these are represented in the State Electoral Division names and coding structure.\r\n\r\nin WGS84 CRS.","classification2":"Electoral Boundaries","minlongitude":-180.0,"source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/state-electoral-divisions","type":"Contextual","respparty_role":"Processor","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sed_2022&format=image/png&styles=","displayname":"State Electoral Divisions 2022","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","maxlatitude":90.0,"minlatitude":-90.0,"licence_level":"1","id":11175},{"enabled":true,"notes":"","description":"GER Jaliigirr","minlatitude":-30.56711,"path":"/data/ala/data/layers/ready/shape","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","uid":"1065","classification1":"Area Management","maxlongitude":153.26088,"type":"Contextual","name":"ger_jaliigirr_20121031","maxlatitude":-29.89728,"domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_jaliigirr_20121031&format=image/png&styles=","licence_level":"1","displayname":"GER Jaliigirr","path_orig":"layer/ger_jaliigirr_20121031","minlongitude":152.3605,"licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":1065},{"mddatest":"2012-03-28","lookuptablepath":"","enabled":true,"licence_notes":"Creative Commons - Attribution 3.0 Australia (CC BY 3.0)","licence_link":"http://data.gov.au/dataset/4-integrated-marine-and-coastal-regionalisation-of-australia-imcra-v4-0-meso-scale-bioregions/","maxlongitude":153.90044,"classification2":"Region","scale":"","path":"/data/ala/data/layers/ready/shape","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:imcra_meso&format=image/png&styles=","maxlatitude":-9.13188,"name":"imcra_meso","citation_date":"2010-11-15","description":"IMCRA Meso-scale Bioregions","source":"Department of Sustainability, Environment, Water, Population and Communities","environmentalvaluemin":"","keywords":"Bioregion, regionalisation","path_orig":"layer/imcra_meso","mdhrlv":"","respparty_role":"","type":"Contextual","notes":"An inshore regionalisation of Australian waters derived from biological and physical data, including the distribution of demersal fishes, marine plants and invertebrates, sea floor geomorphology and sediments, and oceanographic data.\r\n\r\nThe meso-scale regionalisation was compiled from information supplied to the Australian Government Department of the Environment and Heritage by the relevant State, Northern Territory and Commonwealth marine research and management agencies.\r\n\r\nThe seaward extent for the meso-scale IMCRA coverage is defined by the 200m isobath except where this boundary extends beyond the Australian Exclusive Economic Zone (AEEZ).","extents":"","domain":"Marine","uid":"966","minlongitude":112.22616,"datalang":"eng","displayname":"IMCRA Meso-scale Bioregions","path_1km":"","pid":"966","source_link":"http://data.gov.au/dataset/4-integrated-marine-and-coastal-regionalisation-of-australia-imcra-v4-0-meso-scale-bioregions/","environmentalvalueunits":"","minlatitude":-44.13487,"environmentalvaluemax":"","licence_level":"3","classification1":"Biodiversity","dt_added":1331816400000,"metadatapath":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId=%7BA0D9F8EE-4261-438A-8ADE-EFF664EFF55C%7D&loggedIn=false","id":966},{"lookuptablepath":"","enabled":true,"path_orig":"layer/phylloxera_whitebridge","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_whitebridge&format=image/png&styles=","keywords":"sds","scale":"","path":"/data/ala/data/layers/ready/shape","classification2":"Phylloxera Infection Zone","description":"Phylloxera Infection Zone - Whitebridge, Victoria","metadatapath":"http://www.dpi.vic.gov.au/","notes":"Contact:\r\nCopyright.Services@dpi.vic.gov.au","source":"http://www.dpi.vic.gov.au/","environmentalvaluemin":"","licence_notes":"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.","minlatitude":-37.33204,"dt_added":1333375200000,"mdhrlv":"","maxlongitude":144.71973,"citation_date":"2009","maxlatitude":-37.25422,"respparty_role":"","type":"Contextual","minlongitude":144.62157,"name":"phylloxera_whitebridge","extents":"","mddatest":"","uid":"965","datalang":"eng","path_1km":"","domain":"Terrestrial","displayname":"Phylloxera Infection Zone - Whitebridge, Victoria","pid":"965","environmentalvalueunits":"","source_link":"http://www.dpi.vic.gov.au/","licence_link":"http://creativecommons.org/licenses/by-nd/3.0/au/","environmentalvaluemax":"","licence_level":"1","classification1":"Sensitive Data Layers","id":965},{"enabled":true,"source":"Department of Climate Change, Energy, the Environment and Water","citation_date":"2024-06-11","maxlongitude":180.0,"licence_notes":"CC-BY","licence_link":"https://creativecommons.org/licenses/by/3.0/","mddatest":"2023-05-17","dt_added":1718331219941,"description":"The Natural Resource Management (NRM) Regions dataset is maintained for the purpose of authoritative reporting on the Australian Government's NRM investments. The dataset is designed to cover all Australian territory where Australian Government funded NRM projects might take place and includes major islands, external territories, and state and coastal waters in addition to the NRM regional boundaries. Whilst the boundaries of NRM Regions are defined by legislation in some states and territories, this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future.\r\n\r\nIn WGS84 CRs.","keywords":"agriculture, nrm, natural, resource, management","displayname":"Natural Resource Management (NRM) Regions 2023","minlongitude":-180.0,"classification1":"Area Management","type":"Contextual","respparty_role":"Processor","name":"nrm_regions_2023","datalang":"eng","source_link":"https://fed.dcceew.gov.au/datasets/erin::natural-resource-management-nrm-regions-2023/about","domain":"Terrestrial","metadatapath":"https://www.arcgis.com/sharing/rest/content/items/fb3ae400e713431cb05eca1f9f8d54b8/info/metadata/metadata.xml?format=default&output=html","path_orig":"layer/nrm_regions_2023","maxlatitude":90.0,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nrm_regions_2023&format=image/png&styles=","minlatitude":-90.0,"licence_level":"1","classification2":"Biodiversity","id":11160},{"enabled":true,"citation_date":"2024-06-11","maxlongitude":180.0,"licence_notes":"CC-BY","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:iloc_2021&format=image/png&styles=","mddatest":"2021-07-20","description":"The Indigenous Structure is a geographical standard for the publication and analysis of statistics about the Aboriginal and/or Torres Strait Islander peoples of Australia.  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It was developed from multiple forest, vegetation and land cover data inputs, including contributions from relevant Australian, state and territory government agencies and external sources.\r\n\r\nA forest is defined in this dataset as \"An area, incorporating all living and non-living components, that is dominated by trees having usually a single stem and a mature or potentially mature stand height exceeding two metres and with existing or potential crown cover of overstorey strata about equal to or greater than 20 per cent. This includes Australia's diverse native forests and plantations, regardless of age. It is also sufficiently broad to encompass areas of trees that are sometimes described as woodlands\".\r\n\r\nThe dataset was compiled by the National Forest Inventory (NFI) - a collaborative partnership between the Australian and state and territory governments - whose role is to collate, integrate and communicate information on Australia's forests. States and Territories agencies collect forest data using independent methods and at varying scales or resolutions. The NFI, through the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), applies a national classification to state and territory data to allow seamless integration. Independent and multiple sources of external data are used to fill data gaps and improve the quality of the final dataset.\r\n\r\nForests of Australia (2013) v2.0 presents the new NFI classification with three national forest categories, as reported by the NFI in Australia's State of the Forests Report 2013 (SOFR 2013), and replaces the spatial dataset titled Forests of Australia (2013). The three national forest categories are: Native forest, Industrial plantations and Other forests. The 'Native forest' category has previously been reported by the NFI, however, 'Industrial plantations' and 'Other forests' are new categories for planted forests: 'Industrial plantations', for plantations managed commercially and reported through the National Plantation Inventory (NPI), and 'Other forest' for planted forest not managed commercially or otherwise not reported through the NPI.\r\n\r\nForests of Australia dataset series are produced to fulfil requirements of the Australia's National Forest Policy Statement (NFPS) and the Regional Forests Agreement (RFA) Act 2002. The dataset is used for domestic and international reporting. ","maxlatitude":-8.19553,"licence_notes":"CC-BY-3.0-Australia","respparty_role":"","type":"Contextual","displayname":"Forests of Australia (2013) v2.0","maxlongitude":157.22993,"environmentalvaluemin":"0.0","uid":"10902","keywords":"forest, australia","domain":"Terrestrial","classification2":"","dt_added":1482361519856,"minlatitude":-44.37462,"environmentalvalueunits":"","citation_date":"2016-05-25","datalang":"","licence_level":"1","id":10902},{"enabled":true,"citation_date":"2024-06-11","description":"Australia is the largest geographic area in the Main Structure of the ASGS. 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GCCSA boundaries represent labour markets and the functional area of Australian capital cities respectively. They are designed with an emphasis on stability over time to support the time series of statistical releases such as the Quarterly Labour Force publication.\r\n\r\nin WGS84 CRS.","keywords":"statistical, areas, gccsa, capital, capitals","mddatest":"2021-07-20","minlongitude":-180.0,"classification1":"Social","source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","type":"Contextual","respparty_role":"Processor","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:gccsa_2021&format=image/png&styles=","path_orig":"layer/gccsa_2021","datalang":"eng","displayname":"Greater Capital City Statistical Areas 2021","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","maxlatitude":90.0,"classification2":"Statistical Areas","minlatitude":-90.0,"licence_level":"1","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas/greater-capital-city-statistical-areas","id":11166},{"enabled":true,"citation_date":"2024-06-11","maxlongitude":180.0,"licence_notes":"CC-BY","description":"The Indigenous Structure is a geographical standard for the publication and analysis of statistics about the Aboriginal and/or Torres Strait Islander peoples of Australia.  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They are administrative regions primarily used by Tourism Research Australia for research and policy purposes. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.\r\n\r\nIn WGS84 CRS.","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/tourism-regions","minlatitude":-90.0,"licence_level":"1","id":11173},{"enabled":true,"description":"Statistical Area Level 4 (SA4s) are geographic areas built from whole Statistical Areas Level 3 (SA3s). SA4s are the largest sub-state regions in the Main Structure of the ASGS and are designed for the output of a variety of regional data, including data from the 2021 Census of Population and Housing. SA4 boundaries represent labour markets and the functional area of Australian capital cities respectively. They are designed with an emphasis on stability over time to support the time series of statistical releases such as the Quarterly Labour Force publication. These areas represent labour markets or groups of labour markets within each state and territory.\r\n\r\nIn WGS84.","citation_date":"2024-06-12","maxlongitude":180.0,"licence_notes":"CC-BY","path_orig":"layer/sa4_2021","mddatest":"2021-07-20","minlongitude":-180.0,"classification1":"Social","source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","dt_added":1718339053131,"type":"Contextual","respparty_role":"Processor","displayname":"Statistical Areas Level 4","datalang":"eng","keywords":"statistical, areas","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sa4_2021&format=image/png&styles=","maxlatitude":90.0,"classification2":"Statistical Areas","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas/statistical-area-level-4","minlatitude":-90.0,"licence_level":"1","name":"sa4_2021","id":11176},{"enabled":true,"minlongitude":96.81694,"maxlatitude":-9.11552,"path_orig":"layer/electorates_aec_march_2025","minlatitude":-43.74051,"keywords":"election, electoral, boundary, electoral divisions","classification1":"Political","source":"Australian Electoral Commission","maxlongitude":167.99804,"classification2":"Electoral Boundaries","source_link":"https://www.aec.gov.au/Electorates/files/2025/AUS-March-2025-esri.zip","type":"Contextual","dt_added":1748399845519,"citation_date":"2025-05-20","datalang":"eng","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:electorates_aec_march_2025&format=image/png&styles=","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","mddatest":"2019-08-28","name":"electorates_aec_march_2025","licence_notes":"CC-BY 4.0","metadatapath":"https://www.aec.gov.au/Electorates/","displayname":"Electorates March 2025","licence_level":"1","id":11225},{"source_link":"http://www.agriculture.gov.au/abares/forestsaustralia/publications/display?url=http://143.188.17.20/anrdl/DAFFService/display.php?fid=pb_foa13g9abfs20160525_11a.xml","classification1":"Vegetation","enabled":true,"mddatest":"2016-06-20","notes":"","minlongitude":109.49189,"source":"Department of Agriculture and Water Resources : Australian Bureau of Agricultural and Resource Economics and Sciences","description":"Tenure of Australia's forests (2013) v2.0 is a continental dataset of tenure classified into national forest tenure classes: Multiple Use Public Forest, Nature Conservation Reserves, Other Crown Land, Leasehold, Private Freehold and Unresolved Tenure. The dataset combines forest cover with land tenure information.\r\n\r\nThe forest cover information was sourced from the Forests of Australia (2013) v2.0 dataset, an update of the Forests of Australia (2013) dataset, reclassified in order to align the national forest types and national forest categories of the National Forest Inventory (NFI) forest cover dataset with those reported in Australia's State of the Forests Report 2013 (SOFR 2013).\r\n\r\nThe land tenure information was sourced from the commercially available Public Sector Mapping Agency (PSMA) CADLite and Tenure datasets, and tenure data obtained from the former Forests NSW (now Forestry Corporation of NSW). The NFI - a collaborative partnership between the Australian and state and territory governments, whose role is to collate, integrate and communicate information on Australia's forests - used information from these sources to compile a national tenure dataset by applying a national classification to the data supplied by the states and territories to allow seamless integration.\r\n\r\nAs with previous versions, this Tenure of Australia's Forests (2013) v2.0 dataset was produced by combining the NFI land tenure dataset with the most recent Forests of Australia dataset. The only difference between the Tenure of Australia's Forests (2013) and the Tenure of Australia's Forests (2013) v2.0 is that the latter has the updated national forest cover types and new national forest categories. The underlying land tenure data is the same in both versions of the 2013 forest tenure datasets. ","name":"tenure_australias_forests_2013_v2","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:tenure_australias_forests_2013_v2&format=image/png&styles=","licence_link":"https://creativecommons.org/licenses/by/3.0/au/","maxlatitude":-8.19553,"dt_added":1482361525791,"licence_notes":"CC-BY-3.0-Australia","respparty_role":"","type":"Contextual","environmentalvaluemax":"2.14742052E9","maxlongitude":157.22993,"uid":"10903","metadatapath":"http://data.daff.gov.au/anrdl/metadata_files/pb_fta13g9abfs20160525_11a.xml","keywords":"forest, australia","domain":"Terrestrial","citation_date":"2016-06-20","classification2":"","minlatitude":-44.37462,"environmentalvalueunits":"","datalang":"","displayname":"Tenure of Australia's forests (2013) v2.0","path_orig":"layer/tenure_australias_forests_2013_v2","environmentalvaluemin":"-2.147434616E9","licence_level":"1","id":10903},{"enabled":true,"citation_date":"2024-06-12","maxlongitude":180.0,"licence_notes":"CC-BY","description":"Statistical Areas Level 3 (SA3s) are geographic areas built from whole Statistical Areas Level 2 (SA2s). 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In general, the total area of each State and Territory, including their offshore islands, is used for statistical purposes as a separate geographic area in the ASGS. However, the Jervis Bay Territory, and the Territories of Christmas Island, Cocos (Keeling) Islands and Norfolk Island are included as one geographic area at the State and Territory level under the category of Other Territories.\r\n\r\nIn WGS84 CRS.","respparty_role":"Processor","name":"ste_2021","datalang":"eng","keywords":"state, territory, states, territories","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas/australia-and-stateterritory","displayname":"States and Territories 2021","classification2":"States and Territories","maxlatitude":90.0,"minlatitude":-90.0,"licence_level":"1","id":11174},{"metadatapath":"http://www.wabsi.org.au/","lookuptablepath":"","enabled":true,"dt_added":1526502094023,"notes":"","scale":"","path":"/data/ala/data/layers/ready/shape","name":"wabsi_regions","pid":"","displayname":"Western Australian Biodiversity Science Research Priority Regions","source":"Western Australian Biodiversity Science Institute","minlongitude":112.9215,"classification1":"Land Management","licence_link":"https://creativecommons.org/licenses/by/4.0","environmentalvaluemin":"","mdhrlv":"","maxlatitude":-13.68923,"path_orig":"layer/wabsi_regions","respparty_role":"","type":"Contextual","licence_notes":" The dataset is published under a Creative Commons dataset, noting that the regions were derived from the Interim Biogeographic Regionalisation for Australia (IBRA), Version 7 (Users must attribute the Australian Government Department of the Environment and Energy as the data provider) except for the South-West Region which is based on the Wheatbelt of WA (clearing line) (Users must attribute the Western Australian Department of  Primary Industries and Regional Development as the data provider). Both datasets are licensed under the Creative Commons Attribution Licence (CC BY). Regions prepared by Wheatbelt Research Services for the Western Australian Biodiversity Science Institute.","uid":"3","extents":"","mddatest":"","citation_date":"20180130","minlatitude":-35.19398,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:wabsi_regions&format=image/png&styles=","datalang":"eng","keywords":"WABSI, Biodiversity Science, Research Priorities, Western Australia, Restoration Ecology, Invasive Species, Climate Change, Fire, Vegetation Survey, Biodiversity Information, Specie Re-Introduction, ex-situ Conservation","path_1km":"","domain":"Terrestrial","environmentalvalueunits":"","source_link":"http://www.wabsi.org.au/","environmentalvaluemax":"","licence_level":"3","description":"The Western Australian Biodiversity Science Research Priority Regions outlines the regions that underpin the Research Plan published by the Western Australian Biodiversity Science Institute (WABSI). The purpose of the Research Plan is to identify key biodiversity research priorities within Western Australia, by regions, and the process through which a comprehensive program of research will be further developed to better-address those priorities. The Research Plan is focused on supporting the needs of end users including: business and industrial interests such as the mineral resources sector and urban developers, land managers; conservation managers, government agencies, regulators, consultants, researchers and other science leaders.\r\n \r\nTwo outcomes are envisioned:\r\n \r\nBiodiversity conservation — More effective and efficient strategies for setting priorities, managing and conserving Western Australia’s biodiversity.\r\n \r\nFacilitation of sustainable development — More effective, transparent, efficient and timely processes for environmental assessment, regulation and management. This will reduce risk to developers\r\n \r\nThe Research Priority Regions reflect a requirement to have all science undertaken through WABSI linked to a program of activity that is targeted at a geographic area of the State, recognising research issues at the single region, multiple region and state scale. The focus on regions will assist in achieving the required integration between end users and each of the interrelated research nodes.\r\n \r\nWABSI Research Priority Regions are based on the Interim Biogeographic Regionalisation for Australia (IBRA), version 7, except for the South-West Region which is based on the Wheatbelt of WA (clearing line) (note relevant licensing acknowledgement below).","classification2":"Biodiversity","maxlongitude":129.00193,"id":3},{"description":"Fruit Fly Exclusion Zone - Tri State","citation_date":"16/09/2010","lookuptablepath":"","enabled":true,"keywords":"sds","environmentalvalueunits":"region","scale":"","path":"/data/ala/data/layers/ready/shape","pid":"","maxlongitude":146.91157,"source":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ffez&format=image/png&styles=","metadatapath":"http://www.dpi.vic.gov.au/","uid":"938","environmentalvaluemin":"","mddatest":"21/09/2011","licence_notes":"This material is © State of Victoria Department of Primary Industries. 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Previous versions of CAPAD marine information have been published in 1997, 2002, 2004, 2008, 2010, 2012, 2014, 2016 and 2018.\r\n","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","classification2":"","maxlatitude":-9.51191,"maxlongitude":167.9649,"environmentalvalueunits":"","environmentalvaluemax":"","licence_notes":"CAPAD 2020 is available for use through the CC-BY 4.0 licencing model.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad2020_terrestrial&format=image/png&styles=","licence_level":"1","mddatest":"2021-05-13","id":11033},{"citation_date":"2018-05-01","enabled":true,"minlongitude":96.81694,"notes":"","source":"PSMA Australia Limited","keywords":"psma, remoteness, boundaries","path_orig":"layer/psma_remoteness_2016","minlatitude":-43.74051,"description":"","licence_notes":"CC-BY-4.0","maxlatitude":-9.14218,"classification1":"Political","source_link":"https://data.gov.au/dataset/psma-administrative-boundaries","environmentalvaluemin":"","maxlongitude":167.99803,"type":"Contextual","displayname":"PSMA Remoteness Areas (2016)","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:psma_remoteness_2016&format=image/png&styles=","datalang":"eng","name":"psma_remoteness_2016","mddatest":"2018-05-01","metadatapath":"https://data.gov.au/dataset/psma-administrative-boundaries","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","classification2":"","dt_added":1563156125694,"environmentalvalueunits":"","environmentalvaluemax":"","licence_level":"1","id":10936},{"enabled":true,"keywords":"IUCN, reserve, park, conservation, wilderness","notes":"","name":"capad2020_marine","maxlatitude":-8.88189,"source_link":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAF4EE98E-7F09-4172-B95E-067AB8FA10FC%7D","maxlongitude":170.36667,"citation_date":"2021-05-13","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad2020_marine&format=image/png&styles=","environmentalvaluemin":"","dt_added":1635130620785,"classification1":"Area Management","type":"Contextual","source":"Australian Government Department of Agriculture, Water and the Environment","domain":"Marine","minlongitude":70.71702,"datalang":"eng","description":"The Collaborative Australian Protected Areas Database (CAPAD) 2020 provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments. 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Previous versions of CAPAD marine information have been published in 1997, 2002, 2004, 2008, 2010, 2012, 2014, 2016 and 2018.\r\n","displayname":"CAPAD 2020 Marine","licence_link":"https://creativecommons.org/licenses/by/4.0/","respparty_role":"Distributor","classification2":"","environmentalvalueunits":"","path_orig":"layer/capad2020_marine","minlatitude":-58.44947,"metadatapath":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAF4EE98E-7F09-4172-B95E-067AB8FA10FC%7D","environmentalvaluemax":"","licence_notes":"CAPAD 2020 is available for use through the CC-BY 4.0 licencing model.","licence_level":"1","mddatest":"2021-05-13","id":11032},{"description":"Elevation (metres above mean sea level)","lookuptablepath":"","enabled":true,"uid":"674","environmentalvaluemin":"-15","pid":"","maxlongitude":157.23401,"metadatapath":"http://www.ga.gov.au/nmd/products/digidat/dem_9s.jsp","environmentalvaluemax":"2137","displayname":"Elevation ","licence_link":"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml","source":"GA","minlongitude":109.49867,"keywords":"height, dem","path_orig":"layer/elevation","dt_added":1317646800000,"name":"elevation","mdhrlv":"","environmentalvalueunits":"m","respparty_role":"","source_link":"http://www.daff.gov.au/abares/data/mcass","scale":"0.01 degree (~1km)","classification1":"Topography","citation_date":"2001","extents":"","datalang":"eng","path":"/mnt/transfer/MCAS_1k_Datapack/Land/elevation.tif","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"","maxlatitude":-8.19539,"minlatitude":-44.38263,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:elevation&format=image/png&styles=","mddatest":"2009-08","licence_level":"2","notes":"Derived from the 9 second digital elevation data version 3 by integerising using ArcGIS 9.3. This dataset was created in 2008 from DEM data current for 2001.","licence_notes":"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.","id":674},{"classification1":"Vegetation","notes":"Primary data with some data gaps filling from Major Vegetation Groups","lookuptablepath":"","enabled":true,"name":"native_veg","uid":"617","description":"Pre-European major vegetation groups (class)","licence_link":"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml","displayname":"Vegetation types - native","licence_notes":"Copyright Commonwealth of Australia 2009\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.","dt_added":1317906000000,"environmentalvaluemax":"99","citation_date":"2006","path":"/mnt/transfer/MCAS_1k_Datapack/Vegetation/native_veg.tif","type":"Contextual","path_orig":"layer/native_veg","source_link":"http://www.daff.gov.au/abares/data/mcass","maxlongitude":153.6377,"environmentalvaluemin":"1","environmentalvalueunits":"class","datalang":"eng","minlatitude":-43.67225,"domain":"Terrestrial","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:native_veg&format=image/png&styles=","maxlatitude":-9.22397,"mddatest":"2009-08","minlongitude":112.91646,"metadatapath":"http://www.environment.gov.au/erin/nvis/mvg/index.html , http://www.environment.gov.au/erin/nvis/publications/pubs/major-veg-summary.pdf","licence_level":"2","source":"ERIN","id":617},{"mddatest":"2023-11-21","enabled":true,"maxlongitude":180.0,"licence_notes":"CC-BY","minlongitude":-180.0,"keywords":"capad, marine, conservation","classification1":"Area Management","source_link":"https://fed.dcceew.gov.au/datasets/782c02c691014efe8ffbd27445fe41d7_0/explore","type":"Contextual","respparty_role":"Processor","displayname":"CAPAD 2022 - Marine (Collaborative Australian Protected Areas Database)","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","description":"During 2022 Commonwealth, state and territory nature conservation agencies, Indigenous Protected Area (IPA) managers and private protected area managers provided information on their terrestrial and marine protected areas. This information has been compiled into CAPAD 2022.\r\n\r\nCAPAD 2022 figures include interim protected areas. These are land parcels purchased or identified to become protected areas with binding agreements and are now in the process of getting formal recognition as a protected area.\r\n\r\nThe Australian Government continues to work with data suppliers to improve the integrity of data submitted to CAPAD.","dt_added":1718581346294,"maxlatitude":90.0,"classification2":"Conservation","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad_2022_marine&format=image/png&styles=","citation_date":"2024-06-17","minlatitude":-90.0,"metadatapath":"https://www.dcceew.gov.au/environment/land/nrs/science/capad/2022","licence_level":"1","name":"capad_2022_marine","path_orig":"layer/capad_2022_marine","id":11181},{"lookuptablepath":"","enabled":true,"minlatitude":-37.00408,"keywords":"sds","scale":"","path":"/data/ala/data/layers/ready/shape","classification2":"Phylloxera Infection Zone","maxlongitude":145.25831,"minlongitude":145.02422,"metadatapath":"http://www.dpi.vic.gov.au/","notes":"Contact:\r\nCopyright.Services@dpi.vic.gov.au","source":"http://www.dpi.vic.gov.au/","displayname":"Phylloxera Infection Zone - Nagambie,  Victoria","description":"Phylloxera Infection Zone - Nagambie, Victoria","environmentalvaluemin":"","licence_notes":"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_nagambie&format=image/png&styles=","dt_added":1333375200000,"citation_date":"2006","mdhrlv":"","respparty_role":"","type":"Contextual","extents":"","uid":"961","mddatest":"","datalang":"eng","path_orig":"layer/phylloxera_nagambie","maxlatitude":-36.59134,"path_1km":"","domain":"Terrestrial","name":"phylloxera_nagambie","environmentalvalueunits":"","source_link":"http://www.dpi.vic.gov.au/","licence_link":"http://creativecommons.org/licenses/by-nd/3.0/au/","environmentalvaluemax":"","licence_level":"1","classification1":"Sensitive Data Layers","pid":"961","id":961},{"mddatest":"2023-11-21","enabled":true,"maxlongitude":180.0,"licence_notes":"CC-BY","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ra_2021&format=image/png&styles=","dt_added":1718581455433,"minlongitude":-180.0,"classification1":"Social","source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","keywords":"remoteness areas, remote, ra","description":"The Remoteness Structure defines Remoteness Areas for the purpose of releasing and analysing statistics. Remoteness Areas (RA) divide Australia into five classes of remoteness which are characterised by a measure of relative geographic access to services. Access to services is measured using the Accessibility/Remoteness Index of Australia Plus (ARIA+), produced by the Australian Centre for Housing Research (formerly the Hugo Centre for Population and Migration Studies) at the University of Adelaide. \r\n\r\nIn WGS84 CRS.","type":"Contextual","respparty_role":"Processor","datalang":"eng","name":"ra_2021","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/remoteness-structure/remoteness-areas","maxlatitude":90.0,"displayname":"Remoteness Areas 2021","citation_date":"2024-06-17","minlatitude":-90.0,"licence_level":"1","classification2":"Remoteness Areas","path_orig":"layer/ra_2021","id":11182},{"name":"worldclim_bio_3","lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","path":"/mnt/transfer/worldclim/bio_3.tif","citation_date":"","environmentalvalueunits":"%","minlongitude":-180.0,"mdhrlv":"","description":"Isothermality","displayname":"WorldClim: Temperature - isothermality","uid":"790","scale":"0.01 degree (~1km)","environmentalvaluemin":"7","minlatitude":-60.0,"extents":"","licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_3&format=image/png&styles=","environmentalvaluemax":"96","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","keywords":"diurnal, day, daily, season, ratio, bio03","path_orig":"layer/worldclim_bio_3","respparty_role":"custodian","mddatest":"2010-07","licence_level":"2","id":790},{"path":"/mnt/ala/data/contextual/ibra","lookuptablepath":"","enabled":true,"maxlatitude":-10.01579,"description":"Interim Biogeographic Regionalisation of Australia 6","source":"DSEWPaC","environmentalvalueunits":"region","classification2":"Region","scale":"","pid":"","licence_notes":"keep record of derivative products","source_link":"http://www.environment.gov.au/parks/nrs/science/bioregion-framework/ibra/index.html","maxlongitude":153.63831,"keywords":"bioregion, ecoregion, system","notes":"The map of Australias 85 bioregions is derived from the work of state and territory agencies who map vegetation communities and land systems. The fundamental bioregional map is further refined to map Australias 403 subregions.\r\n\r\nBy combining the IBRA region with information on protected areas, the level of protection of Australias various landscapes can be measured.","name":"ibra_merged","environmentalvaluemin":"","dt_added":1317906000000,"mdhrlv":"","displayname":"IBRA 6 Regions","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra_merged&format=image/png&styles=","type":"Contextual","citation_date":"2005","extents":"","minlatitude":-43.64289,"licence_link":"http://www.osdm.gov.au/OSDM/Policies+and+Guidelines/Spatial+Data+Access+and+Pricing/Sample+Licence+Internet/default.aspx","path_orig":"layer/ibra_merged","datalang":"eng","path_1km":"","domain":"Terrestrial","uid":"20","metadatapath":"http://www.environment.gov.au/parks/nrs/science/bioregion-framework/ibra/index.html","minlongitude":112.92151,"environmentalvaluemax":"","respparty_role":"custodian","mddatest":"2010-07","licence_level":"2","classification1":"Biodiversity","id":20},{"enabled":true,"environmentalvaluemax":"9.0","maxlongitude":180.0,"notes":"Collection description\r\nMrVBF is a topographic index designed to identify areas of deposited material at a range of scales based on the observations that valley bottoms are low and flat relative to their surroundings and that large valley bottoms are flatter than smaller ones. Zero values indicate erosional terrain with values 1 and larger indicating progressively larger areas of deposition. There is some evidence that MrVBF values correlate with depth of deposited material.\r\n\r\nThis collection includes 1 arc-second and 3 arc-second resolution versions of MrVBF.\r\n\r\nThe 3 arc-second resolution product was generated from the 1 arc-second MrVBF product and masked by the 3” water and ocean mask datasets.\r\n\r\nStart date\r\n2000-02-11\r\n\r\nEnd date\r\n2000-02-22\r\n\r\nAccess\r\nThe metadata and files (if any) are available to the public.\r\n\r\nLineage\r\nSource data\r\n1. 1 arc-second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016).\r\n2. The 1 arc-second MrVBF product\r\n3. 3 arc-second resolution SRTM water body and ocean mask datasets\r\n\r\nMrVBF calculation\r\nThe MrVBF method is described in Gallant and Dowling (2003). It is based on slope and position in landscape (ranking within a 3- or 6-cell circular window) calculated from the original DEM and progressively generalised DEMs. The algorithm used to create this product is version 6g-a5, which is slightly different to that in the original paper.\r\n\r\nEach value of MrVBF is associated with a particular scale and slope threshold. For each successive value the slope threshold halves and the scale triples. At each scale a location is considered erosional if it is high (ranked above the majority of the surrounding cells) or steep (slope greater than the threshold), and depositional otherwise. The largest value takes precedence at each location, so a value of zero indicates the site is considered to be erosional at all scales.\r\n\r\nValue Threshold Resolution Interpretation\r\nslope (%) (approx)\r\n0 30 m Erosional\r\n1 16 30 Small hillside deposit\r\n2 8 30 Narrow valley floor\r\n3 4 90\r\n4 2 270 Valley floor\r\n5 1 800 Extensive valley floor\r\n6 0.5 2.4 km\r\n7 0.25 7.2 km Depositional basin\r\n8 0.125 22 km\r\n9 0.0625 66 km Extensive depositional basin\r\n\r\nThe 3 arc-second version of MrVBF was derived from the 1 arc-second MrVBF using the median value in each 3 x 3 group of 1 arc-second grid cells.\r\n\r\nMrVBF has been used with topographic wetness index (TWI) to predict soil depths; see McKenzie, Gallant and Gregory (2003) for details.\r\n\r\nGallant, J.C. and Dowling T.I. (2003) A multiresolution index of valley bottom flatness for mapping depositional areas. Water Resources Research 39(12) 1347-1360.\r\n\r\nMcKenzie, N.J., Gallant, J.C. and Gregory, L. (2003) Estimating water storage capacities in soil at catchment scales. Cooperative Research Centre for Catchment Hydrology Technical Report 03/3.","source":"CSIRO Data Access Portal","source_link":"https://data.csiro.au/collection/csiro:5681v3","dt_added":1718580090467,"minlongitude":-180.0,"path_orig":"layer/multires_valley_bottom_flatness_index_2000_3s","displayname":"Multi Resolution Valley Bottom Flatness (MRVBF)","classification1":"Topography","environmentalvaluemin":"0.0","description":"MrVBF is a topographic index designed to identify areas of deposited material at a range of scales based on the observations that valley bottoms are low and flat relative to their surroundings and that large valley bottoms are flatter than smaller ones. Zero values indicate erosional terrain with values 1 and larger indicating progressively larger areas of deposition. There is some evidence that MrVBF values correlate with depth of deposited material.","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","type":"Environmental","domain":"Terrestrial","respparty_role":"Distributor","licence_notes":"CC-BY 4.0 International","maxlatitude":90.0,"metadatapath":"https://data.csiro.au/collection/csiro:5681v3","citation_date":"2601-04-04","mddatest":"2016-04-04","minlatitude":-90.0,"licence_level":"1","name":"multires_valley_bottom_flatness_index_2000_3s","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:multires_valley_bottom_flatness_index_2000_3s&format=image/png&styles=","keywords":"ridge, elevation, topography, mrvbf","environmentalvalueunits":"Index","id":11098},{"classification1":"Vegetation","lookuptablepath":"","enabled":true,"metadatapath":"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=brs-4&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=&cclterm2=dynamic%20land%20cover&cclterm3=&start=1&number=1","citation_date":"2011","notes":"","keywords":"","maxlatitude":-10.0,"pid":"","displayname":"National Dynamic Land Cover","minlatitude":-45.0048,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:dlcmv1&format=image/png&styles=","name":"dlcmv1","description":"The National Dynamic Land Cover Dataset","source":"GA","path_orig":"layer/dlcmv1","dt_added":1335967200000,"environmentalvaluemin":"-128.000","mdhrlv":"","scale":"250m","licence_link":"","type":"Contextual","environmentalvaluemax":"34.000","extents":"","path":"/data/ala/data/envlayers/dynamic_land_data_set","licence_notes":"No permission to distribute derivative works at this stage - draft dataset","minlongitude":110.0,"environmentalvalueunits":"class","datalang":"eng","path_1km":"","mddatest":"2011","domain":"Terrestrial","classification2":"","maxlongitude":155.00919,"uid":"918","source_link":"http://www.ga.gov.au/","respparty_role":"custodian","licence_level":"0","id":918},{"keywords":"ridge, elevation, topography, mrrtf","enabled":true,"environmentalvaluemax":"9.0","maxlongitude":180.0,"source":"CSIRO Data Access Portal","name":"multires_ridgetop_flatness_index_2000_3s","dt_added":1718580084858,"metadatapath":"https://data.csiro.au/collection/csiro:6239v2","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:multires_ridgetop_flatness_index_2000_3s&format=image/png&styles=","citation_date":"2016-03-17","notes":"Collection description\r\nMrRTF is a topographic index designed to identify high flat areas at a range of scales. It complements the MrVBF index that is designed to identify areas of deposited material in flat valley bottoms. Unlike MrVBF, the MrRTF index does not have a clear link to landform processes but it has been found to be a useful adjunct to MrVBF in landform classification. Zero values indicate areas that are steep or low, with values 1 and larger indicating progressively larger areas of high flat land.\r\n\r\nThis collection includes MrRTF data at 1 arc-second and 3 arc-second resolutions.\r\n\r\nThe 3 arc-second resolution product was generated from the 1 arc-second MrRTF product and masked by the 3” water and ocean mask datasets.\r\n\r\nStart date\r\n2000-02-11\r\n\r\nEnd date\r\n2000-02-22\r\n\r\nAccess\r\nThe metadata and files (if any) are available to the public.\r\n\r\nLineage\r\nSource data\r\n1. The 1 arc-second SRTM DEM-S (ANZCW0703014016)\r\n2. The 1 arc-second MrRTF product\r\n3. 3 arc-second resolution SRTM water body and ocean mask datasets\r\n\r\nMrRTF calculation\r\nThe MrRTF and MrVBF method is described in Gallant and Dowling (2003). It is based on slope and position in landscape (ranking within a 3- or 6-cell circular window) calculated from the original DEM and progressively generalised DEMs. The algorithm used to create this product is version 6g-a5, which is slightly different to that in the original paper.\r\n\r\nEach value of MrRTF is associated with a particular scale and slope threshold. For each successive value the slope threshold halves and the scale triples. At each scale a location is assigned the value for that scale if it is sufficiently high (ranked above the majority of the surrounding cells) and flat (slope less than the threshold), and zero otherwise. The largest value takes precedence at each location.\r\n\r\nValue Threshold Resolution\r\nslope (%) (approx)\r\n0 30 m\r\n1 16 30\r\n2 8 30\r\n3 4 90\r\n4 2 270\r\n5 1 800\r\n6 0.5 2.4 km\r\n7 0.25 7.2 km\r\n8 0.125 22 km\r\n9 0.0625 66 km\r\n\r\nThe 3 arc-second version of MrRTF was derived from the 1 arc-second MrRTF using the median value in each 3 x 3 group of 1 arc-second cells.\r\n\r\n\r\nGallant, J.C. and Dowling T.I. (2003) A multiresolution index of valley bottom flatness for mapping depositional areas. Water Resources Research 39(12) 1347-1360.","minlongitude":-180.0,"classification1":"Topography","environmentalvaluemin":"0.0","datalang":"eng","description":"MrRTF is a topographic index designed to identify high flat areas at a range of scales. It complements the MrVBF index that is designed to identify areas of deposited material in flat valley bottoms. Unlike \r\nMrVBF, the MrRTF index does not have a clear link to landform processes but it has been found to be a useful adjunct to MrVBF in landform classification. Zero values indicate areas that are steep or low, with values 1 and larger indicating progressively larger areas of high flat land.","displayname":"Multi Resolution Ridge Top Flatness (MRRTF)","licence_link":"https://creativecommons.org/licenses/by/4.0/","type":"Environmental","domain":"Terrestrial","respparty_role":"Distributor","licence_notes":"CC-BY 4.0 International","source_link":"https://data.csiro.au/collection/csiro:6239v2","maxlatitude":90.0,"path_orig":"layer/multires_ridgetop_flatness_index_2000_3s","minlatitude":-90.0,"licence_level":"1","mddatest":"2016-03-17","environmentalvalueunits":"Index","id":11096},{"lookuptablepath":"","enabled":true,"citation_date":"2010","keywords":"sds","scale":"","path":"/data/ala/data/layers/ready/shape","classification2":"Phylloxera Infection Zone","metadatapath":"http://www.dpi.vic.gov.au/","notes":"Contact:\r\nCopyright.Services@dpi.vic.gov.au","source":"http://www.dpi.vic.gov.au/","environmentalvaluemin":"","licence_notes":"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.","path_orig":"layer/phylloxera_north_east","minlongitude":146.01559,"dt_added":1333375200000,"mdhrlv":"","respparty_role":"","maxlatitude":-35.95724,"displayname":"Phylloxera Infection Zone - North East,  Victoria","type":"Contextual","minlatitude":-37.071,"extents":"","mddatest":"","uid":"963","name":"phylloxera_north_east","datalang":"eng","description":"Phylloxera Infection Zone - North East, Victoria","path_1km":"","domain":"Terrestrial","environmentalvalueunits":"","source_link":"http://www.dpi.vic.gov.au/","licence_link":"http://creativecommons.org/licenses/by-nd/3.0/au/","environmentalvaluemax":"","licence_level":"1","classification1":"Sensitive Data Layers","pid":"963","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_north_east&format=image/png&styles=","maxlongitude":147.12922,"id":963},{"path_orig":"layer/bioclim_bio7","maxlatitude":-9.0,"enabled":true,"notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","environmentalvalueunits":"degrees C","description":"Temperature - annual range (Bio07)","dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"name":"bioclim_bio7","metadatapath":"http://fennerschool.anu.edu.au/publications/software/","path":"/data/ala/data/source/bioclim1990-asc/bio7.tif","source":"CSIRO Ecosystem Sciences","scale":"0.01 degree (~1km)","uid":"862","maxlongitude":153.64,"datalang":"eng","environmentalvaluemax":"35.4000015258789","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio7&format=image/png&styles=","minlongitude":112.9,"environmentalvaluemin":"9.39999961853027","classification1":"Climate","mddatest":"2010-08","licence_level":"1","displayname":"Temperature - annual range (Bio07)","citation_date":"2008-02","id":862},{"maxlatitude":-9.0,"enabled":true,"notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","displayname":"Precipitation - seasonality (Bio15)","dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"path":"/data/ala/data/source/bioclim1990-asc/bio15.tif","metadatapath":"http://fennerschool.anu.edu.au/publications/software/","environmentalvalueunits":"mm","path_orig":"layer/bioclim_bio15","environmentalvaluemax":"141","source":"CSIRO Ecosystem Sciences","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio15&format=image/png&styles=","scale":"0.01 degree (~1km)","classification2":"Precipitation","uid":"882","keywords":"rain","maxlongitude":153.64,"datalang":"eng","type":"Environmental","domain":"Terrestrial","environmentalvaluemin":"9","name":"bioclim_bio15","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","licence_level":"1","description":"Precipitation - seasonality ( (Bio15)","citation_date":"2008-02","id":882},{"path_orig":"layer/ibra7_regions","enabled":true,"source":"Department of Climate Change, Energy, the Environment and Water","maxlongitude":180.0,"licence_notes":"CC-BY","minlongitude":-180.0,"dt_added":1718587946412,"classification1":"Area Management","source_link":"https://fed.dcceew.gov.au/datasets/a5a9a356105b4a728d0606194d8bdf38_0/explore","type":"Contextual","respparty_role":"Processor","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra7_regions&format=image/png&styles=","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","displayname":"IBRA (Interim Biogeographic Regionalisation for Australia (IBRA) Version 7 (Regions)","metadatapath":"https://fed.dcceew.gov.au/datasets/8f7e2436a6d5436ca001fa7f2aee3fd8/about","maxlatitude":90.0,"classification2":"Conservation","citation_date":"2024-06-17","mddatest":"2023-10-17","description":"Interim Biogeographic Regionalisation for Australia (IBRA) version 7.0 represents a landscape based approach to classifying the land surface of Australia. 89 biogeographic regions and 419 sub regions have been delineated, each reflecting a unifying set of major environmental influences which shape the occurrence of flora and fauna and their interaction with the physical environment across Australia and its external territories (excluding Antarctica).","minlatitude":-90.0,"licence_level":"1","name":"ibra7_regions","keywords":"IBRA, ibra, conservation, biodiversity","id":11185},{"lookuptablepath":"","enabled":true,"displayname":"Phylloxera Infection Zone - Maroondah, Victoria","keywords":"sds","scale":"","path":"/data/ala/data/layers/ready/shape","classification2":"Phylloxera Infection Zone","maxlongitude":145.53043,"metadatapath":"http://www.dpi.vic.gov.au/","notes":"Contact:\r\nCopyright.Services@dpi.vic.gov.au","name":"phylloxera_maroondah","maxlatitude":-37.5789,"source":"http://www.dpi.vic.gov.au/","environmentalvaluemin":"","licence_notes":"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.","dt_added":1333375200000,"mdhrlv":"","citation_date":"2009","respparty_role":"","type":"Contextual","minlatitude":-37.78589,"extents":"","uid":"962","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_maroondah&format=image/png&styles=","mddatest":"","datalang":"eng","path_1km":"","domain":"Terrestrial","environmentalvalueunits":"","source_link":"http://www.dpi.vic.gov.au/","licence_link":"http://creativecommons.org/licenses/by-nd/3.0/au/","environmentalvaluemax":"","description":"Phylloxera Infection Zone - Maroondah, Victoria","licence_level":"1","minlongitude":145.23421,"classification1":"Sensitive Data Layers","path_orig":"layer/phylloxera_maroondah","pid":"962","id":962},{"enabled":true,"source":"Department of Climate Change, Energy, the Environment and Water","maxlongitude":180.0,"licence_notes":"CC-BY","description":"Details the Dedicated Indigenous Protected Areas (IPA) across Australia through the implementation of the Indigenous Protected Areas Programme.\r\n\r\nIn WGS84 CRS.","dt_added":1718598779737,"mddatest":"2024-05-14","name":"ipa_2024","minlongitude":-180.0,"classification2":"Protected Areas","type":"Contextual","respparty_role":"Processor","keywords":"indigenous, IPAs, protected areas, protected","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","classification1":"Indigenous","maxlatitude":90.0,"displayname":"Indigenous Protected Areas (IPAs) - Dedicated","citation_date":"2024-06-17","source_link":"https://fed.dcceew.gov.au/datasets/75c48afce3bb445f9ce58633467e21ed_0/explore?location=-21.007316%2C135.315500%2C4.69","minlatitude":-90.0,"licence_level":"1","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ipa_2024&format=image/png&styles=","path_orig":"layer/ipa_2024","metadatapath":"https://fed.dcceew.gov.au/datasets/erin::indigenous-protected-areas-dedicated/about","id":11189},{"uid":"892","maxlatitude":-9.0,"lookuptablepath":"","enabled":true,"path_orig":"layer/bioclim_bio4","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.","dt_added":1308837600000,"environmentalvalueunits":"dimensionless","environmentalvaluemax":"2.22000002861023","displayname":"Temperature - seasonality (Bio04)","pid":"","licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - 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http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","path_orig":"layer/bioclim_bio8","minlatitude":-43.8,"name":"bioclim_bio8","description":"Temperature - wettest quarter mean (Bio08)","metadatapath":"http://fennerschool.anu.edu.au/publications/software/","source":"CSIRO Ecosystem Sciences","mdhrlv":"","respparty_role":"","licence_link":"","scale":"0.01 degree (~1km)","extents":"","maxlongitude":153.64,"datalang":"eng","displayname":"Temperature - wettest quarter mean (Bio08)","path_1km":"","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","licence_level":"1","environmentalvaluemax":"32.7000007629395","citation_date":"2008-02","keywords":"rain, precipitation","id":870},{"path_orig":"layer/bioclim_bio6","description":"Temperature - coldest period min (Bio06)","maxlatitude":-9.0,"enabled":true,"keywords":"","environmentalvalueunits":"degrees C","dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - 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In addition the dataset was also updated to more closely conform to the Geoscience Australia 1:100K State borders, and a standard coding/naming convention introduced (for both regions and sub-regions) resulting in differences to both names and codes used in earlier IBRA Versions.\r\nVarious sources were used to delineate islands - these included the GA100K Admin layer plus the Australian Maritime Boundaries dataset, a Coral Sea dataset (held in ERIN) and the GA Commonwealth Fisheries 2006 dataset.","uid":"1048","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra7_regions&format=image/png&styles=","domain":"Terrestrial","maxlongitude":167.99814,"licence_level":"3","minlongitude":72.57738,"classification1":"Biodiversity","name":"ibra7_regions","source_link":"http://www.environment.gov.au/metadataexplorer/explorer.jsp (search for 'IBRA' in \"Search title\" field)","description":"Interim Biogeographic Regionalisation 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","licence_link":"","type":"Contextual","mddatest":"2011-11","extents":"","uid":"940","maxlongitude":151.34275,"dt_added":1337868000000,"datalang":"eng","displayname":"Phylloxera Infection Zone - Sydney, New South Wales","path_1km":"","domain":"Terrestrial","minlatitude":-34.55531,"path_orig":"layer/phylloxera_sydney","environmentalvaluemax":"","licence_notes":"Please contact NSW DPI for terms of use. www.dpi.nsw.gov.au/biosecurity/plant ","classification1":"Sensitive Data Layers","licence_level":"0","id":940},{"minlongitude":113.42214,"enabled":true,"description":"Provides a spatial representation of native title matters, related to custodial statutory functions associated with Registers in support of the Native Title Act 1993.\r\n\r\nIn WGS84 CRS.","dt_added":1718841214086,"licence_notes":"CC-BY","source":"National Native Title 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They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.","displayname":"Postal Areas 2021","datalang":"eng","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pa_2021&format=image/png&styles=","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/postal-areas","licence_level":"1","keywords":"postcodes, postal areas","id":11212},{"lookuptablepath":"","enabled":true,"dt_added":1330002000000,"keywords":"sds","environmentalvalueunits":"region","scale":"","path":"/data/ala/data/layers/ready/shape","pid":"","minlatitude":-38.51719,"maxlatitude":-37.77394,"uid":"939","metadatapath":"http://www.dpi.vic.gov.au/","displayname":"Potato Cyst Nematode Zones - Victoria","source":"http://www.dpi.vic.gov.au/","path_orig":"layer/pcn_vic","environmentalvaluemin":"","mddatest":"21/09/2011","licence_notes":"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.","mdhrlv":"","classification2":"Potato Cyst Nematode Zones","respparty_role":"","type":"Contextual","notes":"Contact:\r\nCopyright.Services@dpi.vic.gov.au\r\n","extents":"","datalang":"eng","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pcn_vic&format=image/png&styles=","description":"Potato Cyst Nematode Zones - Victoria","path_1km":"","domain":"Terrestrial","name":"pcn_vic","minlongitude":145.3879,"source_link":"http://www.dpi.vic.gov.au/","licence_link":"http://creativecommons.org/licenses/by-nd/3.0/au/","environmentalvaluemax":"","citation_date":"1/05/2010","licence_level":"1","maxlongitude":146.37665,"classification1":"Sensitive Data Layers","id":939},{"enabled":true,"environmentalvalueunits":"region","maxlongitude":159.10017,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:diwa_type_criteria&format=image/png&styles=","licence_notes":"Permission required to re-distribute derivative works. Please follow link to further instructions outlined in metadata record.","citation_date":"2008-10-15","datalang":"enu","classification1":"Area Management","minlongitude":73.49982,"metadatapath":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={0377A251-4E6C-48DF-95FC-720048F879B6}","licence_link":"","type":"Contextual","mddatest":"2010-10-26","keywords":"reserve, water, bird","source_link":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={0377A251-4E6C-48DF-95FC-720048F879B6}","notes":"This is a polygon coverage representing the wetlands cited in the \"A Directory of Important Wetlands in Australia\" Third Edition (EA, 2001), plus various additions for wetlands listed after 2001. This dataset includes attribute information showing the wetlands type and criteria for listing for each wetland.\n\nThis coverage is a compilation of various data sources and has been collected using a variety of methods. This dataset should therefore be used as an indicative guide only to wetland boundaries and locations. The data has been collated by the Australian Government Department of Sustainability, Environment, Water, Population and Communities from various datasets including those supplied by the relevant State agencies.","displayname":"Directory of Important Wetlands","dt_added":1327755600000,"name":"diwa_type_criteria","path_orig":"layer/diwa_type_criteria","uid":"901","description":"Directory of Important Wetlands Spatial Database including Wetlands Type and Criteria","domain":"Terrestrial","path":"/data/ala/data/shapefiles/diwa_type_criteria","minlatitude":-53.08351,"respparty_role":"custodian","source":"ERIN","licence_level":"1","maxlatitude":-10.47761,"classification2":"Biodiversity","id":901},{"lookuptablepath":"","enabled":true,"maxlatitude":-8.19402,"minlatitude":-44.37221,"metadatapath":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={D06B412B-A1F5-42F8-BE39-1E4C17312FBD}","path":"/data/ala/data/layers/ready/shape","uid":"935","displayname":"RAMSAR wetland regions","path_orig":"layer/ramsar","notes":"Australia's Ramsar Wetlands - Downloadable (Subset Only).\n\nThe Ramsar Wetlands data contained within this dataset is from QLD, NSW, WA and Commonwealth agencies only. Ramsar Wetland boundaries for all other jurisdictions are to be sourced by contacting the relevant State/Territory agency.","licence_notes":"Copyright Commonwealth of Australia, Department of Sustainability, Environment, Water, Population and Communities with data compiled through cooperative efforts of the States/Territories Government wetland agencies. October 2010. All rights reserved\n\nParticipating Agencies:\n - ACT Department of Territory and Municipal Services\n - NSW Department of Environment, Climate Change and Water\n - NT Department of Natural Resources, Environment, The Arts and Sport\n - Qld Department of Environment and Resource Management\n - SA Department for Environment and Natural Resources\n - Tas Department of Primary Industries, Parks, Water and Environment\n - Vic Department of Sustainability and Environment\n - WA Department of Environment and Conservation","dt_added":1317906000000,"environmentalvaluemax":"99","classification1":"Area Management","mdhrlv":"","licence_link":"","type":"Contextual","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ramsar&format=image/png&styles=","keywords":"reserve, water, bird","minlongitude":109.503,"maxlongitude":157.28139,"environmentalvaluemin":"0","environmentalvalueunits":"class","datalang":"eng","name":"ramsar","domain":"Terrestrial","citation_date":"2010-11-26","source_link":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={D06B412B-A1F5-42F8-BE39-1E4C17312FBD}","respparty_role":"distributor","description":"RAMSAR wetland regions","licence_level":"2","source":"ERIN","classification2":"Biodiversity","mddatest":"2011-01-18","id":935},{"lookuptablepath":"","enabled":true,"minlatitude":-32.43153,"displayname":"Upper Hunter Focus Area v2","scale":"","source_link":"http://www.greateasternranges.org.au/","pid":"","uid":"913","maxlatitude":-31.79636,"dt_added":1317906000000,"environmentalvaluemax":"99","classification1":"Area Management","citation_date":"2006","mdhrlv":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_upper_hunter_focus_area_v2&format=image/png&styles=","minlongitude":150.4562,"path_orig":"layer/ger_upper_hunter_focus_area_v2","type":"Contextual","licence_link":"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries","extents":"","environmentalvaluemin":"0","name":"ger_upper_hunter_focus_area_v2","environmentalvalueunits":"class","datalang":"eng","maxlongitude":150.87546,"path_1km":"","path":"/data/ala/shapefiles/ger","domain":"Terrestrial","metadatapath":"http://www.greateasternranges.org.au/","classification2":"Great Eastern Ranges","mddatest":"2009-08","respparty_role":"custodian","licence_level":"1","notes":"GER Border Ranges Partnership Area which is defined by the Border Ranges Rainforest Biodiversity Management Plan (BMP).\r\nFor more information about the BMP see: http://www.mallanganee.com/rfplan/","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","description":"ger upper hunter focus area","source":"GER","keywords":"GER, region","id":913},{"metadatapath":"http://www.environment.gov.au/coasts/mbp/imcra/index.html","name":"imcra4_pb","lookuptablepath":"","enabled":true,"environmentalvalueunits":"region","classification2":"Region","scale":"","pid":"","licence_notes":"keep record of derivative products","minlongitude":93.41232,"path_orig":"layer/imcra4_pb","environmentalvaluemin":"","dt_added":1317906000000,"citation_date":"2006","mdhrlv":"","type":"Contextual","keywords":"bioregion, ecoregion, system, marine","maxlongitude":171.80111,"extents":"","domain":"Marine","licence_link":"http://www.osdm.gov.au/OSDM/Policies+and+Guidelines/Spatial+Data+Access+and+Pricing/Sample+Licence+Internet/default.aspx","maxlatitude":-8.4734,"datalang":"eng","path_1km":"","uid":"21","displayname":"IMCRA 4 Regions","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:imcra4_pb&format=image/png&styles=","notes":"The Integrated Marine and Coastal Regionalisation of Australia (IMCRA v4.0) is a spatial framework for classifying Australias marine environment into bioregions that make sense ecologically and are at a scale useful for regional planning. These bioregions are the basis for the development of a National Representative System of Marine Protected Areas (NRSMPA).","minlatitude":-58.44947,"source_link":"http://www.environment.gov.au/coasts/mbp/imcra/index.html","path":"/mnt/ala/data/contextual/ibra ??","environmentalvaluemax":"","respparty_role":"custodian","mddatest":"2010-07","licence_level":"2","source":"ERIN","classification1":"Biodiversity","description":"Integrated Marine and Coastal Regionalisation of Australia","id":21},{"mddatest":"2011-03-31","lookuptablepath":"","enabled":true,"keywords":"","scale":"> 1:150,000","minlatitude":-55.1731,"metadatapath":"http://www.ga.gov.au/meta/ANZCW0703007842.xml","environmentalvalueunits":"region","pid":"","path":"/data/ala/data/shapefiles/australian_maritime_borders","domain":"Terrestrial,Marine","source":"GA","source_link":"http://www.ga.gov.au/meta/ANZCW0703007842.html","environmentalvaluemin":"","name":"cw_state_poly","displayname":"States including coastal waters","dt_added":1317906000000,"citation_date":"2001-09 to 2006-02-17","minlongitude":112.86564,"mdhrlv":"","type":"Contextual","maxlatitude":-9.08801,"extents":"","classification1":"Marine","licence_notes":"Attribution: © Commonwealth of Australia (Geoscience Australia) 2006 Licence: CC-BY-3.0 Creative Commons Attribution 3.0 Australia","licence_link":"http://creativecommons.org/licenses/by/3.0/au/","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:cw_state_poly&format=image/png&styles=","datalang":"eng","path_1km":"","uid":"927","description":"States (including coastal waters) - Australian Maritime Boundaries","maxlongitude":159.33903,"path_orig":"layer/cw_state_poly","environmentalvaluemax":"","licence_level":"3","notes":"AMB is a dataset depicting the limits of Australia's maritime jurisdiction as set out under UNCLOS and relevant domestic legislation. To this extent, AMB provides a digital representation of the outer limit of the 12 nautical mile territorial sea, the 24 nautical mile contiguous zone, the 200 nautical mile Exclusive Economic Zone and Australia's Continental Shelf, as well as, the 3 nautical mile coastal waters. Where Australia has agreements with neighbouring countries these treaty lines are also included in the data.\r\n\r\nThe dataset has been compiled by Geoscience Australia in consultation with other relevant Commonwealth Government agencies including the Attorney-General's Department, the Department of Foreign Affairs and Trade as well as the Australian Hydrographic Office.\r\n\r\nsee also: http://www.ga.gov.au/image_cache/GA7675.pdf","respparty_role":"author","classification2":"Boundaries","id":927},{"mddatest":"2011-03-31","lookuptablepath":"","enabled":true,"keywords":"","scale":"> 1:150,000","metadatapath":"http://www.ga.gov.au/meta/ANZCW0703007842.xml","environmentalvalueunits":"region","displayname":"Exclusive Economic Zone","pid":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:eez_poly&format=image/png&styles=","path":"/data/ala/data/shapefiles/australian_maritime_borders","uid":"929","source":"GA","description":"Exclusive Economic Zone - Australian Maritime Boundaries","source_link":"http://www.ga.gov.au/meta/ANZCW0703007842.html","environmentalvaluemin":"","dt_added":1317906000000,"citation_date":"2001-09 to 2006-02-17","mdhrlv":"","type":"Contextual","path_orig":"layer/eez_poly","maxlongitude":171.80111,"name":"eez_poly","extents":"","classification1":"Marine","domain":"Marine","licence_notes":"Attribution: © Commonwealth of Australia (Geoscience Australia) 2006Licence: CC-BY-3.0 Creative Commons Attribution 3.0 Australia","maxlatitude":-8.4734,"licence_link":"http://creativecommons.org/licenses/by/3.0/au/","datalang":"eng","path_1km":"","environmentalvaluemax":"","licence_level":"3","notes":"AMB is a dataset depicting the limits of Australia's maritime jurisdiction as set out under UNCLOS and relevant domestic legislation. To this extent, AMB provides a digital representation of the outer limit of the 12 nautical mile territorial sea, the 24 nautical mile contiguous zone, the 200 nautical mile Exclusive Economic Zone and Australia's Continental Shelf, as well as, the 3 nautical mile coastal waters. Where Australia has agreements with neighbouring countries these treaty lines are also included in the data.\r\n\r\nThe dataset has been compiled by Geoscience Australia in consultation with other relevant Commonwealth Government agencies including the Attorney-General's Department, the Department of Foreign Affairs and Trade as well as the Australian Hydrographic Office.\r\n\r\nsee also: http://www.ga.gov.au/image_cache/GA7675.pdf","respparty_role":"author","classification2":"Boundaries","minlongitude":40.85433,"minlatitude":-69.536,"id":929},{"enabled":true,"notes":"","path":"/data/ala/data/layers/ready/shape","path_orig":"layer/ger_border_ranges_20121031","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_border_ranges_20121031&format=image/png&styles=","classification1":"Area Management","uid":"1062","type":"Contextual","description":"GER Border Ranges","displayname":"GER Border Ranges","maxlongitude":153.63883,"name":"ger_border_ranges_20121031","domain":"Terrestrial","maxlatitude":-27.6672,"keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","minlatitude":-29.13649,"licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"minlongitude":152.13857,"licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":1062},{"lookuptablepath":"","enabled":true,"name":"aus1","environmentalvalueunits":"region","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:aus1&format=image/png&styles=","path":"/mnt/ala/data/contextual/aus1","classification1":"Political","path_orig":"layer/aus1","keywords":"political","minlatitude":-55.11694,"uid":"22","source":"ANZLIC","maxlatitude":-9.2211,"description":"Australian States and Territories","environmentalvaluemin":"","dt_added":1317906000000,"type":"Contextual","citation_date":"2001","datalang":"eng","mddatest":"2001-08","displayname":"Australian States and Territories","licence_notes":"","domain":"Terrestrial","metadatapath":"http://www.ga.gov.au/meta/ANZCW0703005903.html","maxlongitude":159.25609,"source_link":"http://www.anzlic.org.au/infrastructure_GEN.html","notes":"The GEN Register is an online resource that contains the geographic extents of thousands of geographic objects. These objects range from maps sheets, navigational charts, oceans and rivers, through to States, Territories and Local Government Areas.\n\nThe register has been developed by ANZLIC—the Spatial Information Council to assist users complete the GEN element of the ANZLIC metadata guidelines. This element requires users to specify the ordinary name of one or more predefined geographic objects that reasonably show the geographic coverage of their dataset.","environmentalvaluemax":"","licence_level":"3","respparty_role":"custodian","licence_link":"http://www.ga.gov.au/meta/ANZCW0703005903.html","minlongitude":112.91972,"id":22},{"source_link":"https://parksaustralia.gov.au/marine/parks/","enabled":true,"notes":"","citation_date":"2018-02-14","name":"amp_outer_ala_with_labels","source":"Department of the Environment and Energy","classification2":"Region","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:amp_outer_ala_with_labels&format=image/png&styles=","maxlatitude":-8.88189,"keywords":"reserve, park, conservation, marine","maxlongitude":170.36667,"environmentalvaluemin":"","licence_link":"https://creativecommons.org/licenses/by/3.0/au/","type":"Contextual","classification1":"Marine","domain":"Marine","minlongitude":70.71702,"mddatest":"2018-02-14","dt_added":1552515354523,"datalang":"eng","respparty_role":"Custodian","licence_notes":"This data has been licensed under the Creative Commons Attribution 3.0 Australia Licence (CC-BY) © Commonwealth of Australia (Department of the Environment and Energy) 2018","environmentalvalueunits":"","minlatitude":-58.44947,"metadatapath":"https://parksaustralia.gov.au/marine/parks/","environmentalvaluemax":"","description":"Consistent with the Australian Government's commitment to develop a National Representative System of Marine Protected Areas, networks of Marine Parks have been proclaimed for Commonwealth waters across the North, North-west, South-west, Temperate East and Coral Sea Marine Regions. These networks build on previous Marine Protected Area proclamations, including the South-east Network declared in 2007. This data includes all marine parks managed by DOEE with the addition of the Heard Island and McDonald Islands Marine Reserve, which is managed by the Australian Antarctic Division http://www.heardisland.aq/protection-and-management/marine-reserve This dataset is released under Creative Commons by Attribution 3.0 Australia (CC BY 3.0). IMPORTANT INFORMATION FOR MARINE USERS Transitional arrangements apply to the North, North-west, South-west and Temperate East Marine Parks Networks and the Coral Sea Marine Park, until management plans come into effecton the 1st July 2018. These arrangements involve NO CHANGES ON THE WATER for marine users. Note, there are no changes to management arrangements in the marine parks that existed prior to the establishment of the new marine parks, that is, the same restrictions on activities will continue to apply even where those reserves have been incorporated into new marine parks. More information is available at [www.environment.gov.au/marinereserves](http://www.environment.gov.au/marinereserves). This data contains spatial and contextual information about Australian Marine Parks under the jurisdiction of the Commonwealth governments Environment Protection and Biodiversity Conservation Act 1999, which are managed by the Australian Government Department of the Environment and Energy. It does not include data on MPA's in other Australian jurisdictions (e.g. the Great Barrier Reef Marine Park, State/Territory parks), or Terrestrial Protected Areas with marine components (eg Pulu Keeling National Park).","licence_level":"1","displayname":"Australia's network of Marine Parks","path_orig":"layer/amp_outer_ala_with_labels","id":10912},{"enabled":true,"source":"Department of Climate Change, Energy, the Environment and Water","licence_notes":"CC-BY","description":"Details the Dedicated Indigenous Protected Areas (IPA) across Australia through the implementation of the Indigenous Protected Areas Programme.\r\n\r\nIn WGS84 CRS.","mddatest":"2024-05-14","citation_date":"2025-08-25","name":"ipa_2025","classification2":"Protected Areas","displayname":"2025 Indigenous Protected Areas (IPAs) - Dedicated","type":"Contextual","respparty_role":"Processor","source_link":"https://fed.dcceew.gov.au/datasets/indigenous-protected-areas-dedicated/about","minlatitude":-43.11345,"keywords":"indigenous, IPAs, protected areas, protected","maxlongitude":153.46775,"datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","dt_added":1756081948329,"domain":"Terrestrial","maxlatitude":-9.51191,"classification1":"Indigenous","path_orig":"layer/ipa_2025","licence_level":"1","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ipa_2025&format=image/png&styles=","minlongitude":117.1633,"metadatapath":"https://fed.dcceew.gov.au/datasets/erin::indigenous-protected-areas-dedicated/about","id":11226},{"enabled":true,"path_orig":"layer/clum_commodities_2023","licence_notes":"CC-BY","keywords":"agriculture, products, commodities","classification2":"Farming","displayname":"Agricultural Commodities","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:clum_commodities_2023&format=image/png&styles=","classification1":"Area Management","maxlongitude":153.59743,"type":"Contextual","respparty_role":"Processor","minlongitude":113.66138,"citation_date":"2024-06-25","minlatitude":-43.37269,"maxlatitude":-11.17617,"datalang":"eng","source_link":"https://data.gov.au/data/dataset/catchment-scale-land-use-of-australia-and-commodities-update-december-2023/resource/b216cf90-f4f0-4d88-980f-af7d1ad746cb","metadatapath":"https://www.agriculture.gov.au/abares/aclump/land-use/catchment-scale-land-use-and-commodities-update-2023#about-the-catchment-scale-land-use-of-australia--update-december-2023-spatial-dataset","source":"ACLUMP and ABARES ( Australian Collaborative Land Use and Management Program and Australian Bureau of Agricultural and Resource Economics and Science)","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","dt_added":1719276464775,"mddatest":"2024-02-24","licence_level":"1","name":"clum_commodities_2023","description":"This is the latest compilation of land use mapping information for Australia’s regions as at December 2023. The land use data are supported by a supplementary commodities dataset, containing extra information on the location of select predominantly agricultural commodities. These datasets replace the previous 2020 December updates. These data were compiled by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources through the Australian Collaborative Land Use and Management Program (ACLUMP). These datasets are not recommended for change analysis or for national land use statistics—instead use the Land use of Australia 2010-11 to 2015-16.","id":11216},{"enabled":true,"notes":"","path":"/data/ala/data/layers/ready/shape","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","minlatitude":-35.64333,"description":"GER Illawarra to Shoalhaven","maxlongitude":151.17145,"classification1":"Area Management","path_orig":"layer/ger_illawarra_shoalhaven_20121031","uid":"1064","minlongitude":149.95913,"type":"Contextual","maxlatitude":-34.04266,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_illawarra_shoalhaven_20121031&format=image/png&styles=","name":"ger_illawarra_shoalhaven_20121031","domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","displayname":"GER Illawarra to Shoalhaven","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":1064},{"enabled":true,"notes":"","maxlongitude":149.32065,"path":"/data/ala/data/layers/ready/shape","source":"ACT Government Environment and Sustainable Development Directorate","dt_added":1371564000000,"name":"tams_reserves","source_link":"www.actpla.act.gov.au","classification1":"Area Management","licence_notes":"Creative Commons Attribution 3.0 Australia","type":"Contextual","displayname":"ACT TAMS Reserves","maxlatitude":-35.14157,"description":"ACT TAMS Reserves","metadatapath":"http://www.actpla.act.gov.au","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:tams_reserves&format=image/png&styles=","licence_link":"http://creativecommons.org/licenses/by/3.0/au/","domain":"Terrestrial","path_orig":"layer/tams_reserves","uid":"1054","licence_level":"3","minlongitude":148.76278,"minlatitude":-35.92053,"id":1054},{"path_orig":"layer/psma_comm_electoral_2018","enabled":true,"minlongitude":96.81694,"notes":"","source":"PSMA Australia Limited","name":"psma_comm_electoral_2018","minlatitude":-43.74051,"licence_notes":"CC-BY-4.0","maxlatitude":-9.14218,"classification1":"Political","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:psma_comm_electoral_2018&format=image/png&styles=","maxlongitude":167.99804,"description":"Commonwealth Electoral Boundaries captures the boundaries for Commonwealth Electorates","source_link":"https://data.gov.au/dataset/psma-administrative-boundaries","environmentalvaluemin":"","keywords":"psma, electoral boundaries, commonwealth","citation_date":"2018-08-01","displayname":"PSMA Commonwealth Electoral Boundaries (2018)","type":"Contextual","datalang":"eng","metadatapath":"https://data.gov.au/dataset/psma-administrative-boundaries","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","classification2":"","environmentalvalueunits":"","mddatest":"2018-08-01","environmentalvaluemax":"","licence_level":"1","dt_added":1562202646756,"id":10921},{"enabled":true,"notes":"","name":"ger_southern_highlands_20121031","path":"/data/ala/data/layers/ready/shape","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_southern_highlands_20121031&format=image/png&styles=","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","classification1":"Area Management","displayname":"GER Southern Highlands","type":"Contextual","maxlatitude":-34.05543,"maxlongitude":150.93079,"path_orig":"layer/ger_southern_highlands_20121031","description":"GER Southern Highlands","domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"minlatitude":-35.46404,"licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","uid":"1070","source":"GER","minlongitude":149.54792,"id":1070},{"enabled":true,"maxlatitude":-35.42801,"notes":"","path":"/data/ala/data/layers/ready/shape","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","minlongitude":146.41351,"description":"GER Slopes To Summit","classification1":"Area Management","name":"ger_slopes_to_summit_20121031","type":"Contextual","maxlongitude":148.39423,"uid":"1069","domain":"Terrestrial","keywords":"GER","displayname":"GER Slopes To Summit","metadatapath":"http://www.greateasternranges.org.au/","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","path_orig":"layer/ger_slopes_to_summit_20121031","minlatitude":-36.51244,"dt_added":1369317600000,"licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_slopes_to_summit_20121031&format=image/png&styles=","id":1069},{"enabled":true,"notes":"","displayname":"GER National Corridor","path":"/data/ala/data/layers/ready/shape","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_national_corridor_20121031&format=image/png&styles=","path_orig":"layer/ger_national_corridor_20121031","maxlatitude":-15.48853,"classification1":"Area Management","maxlongitude":153.62518,"type":"Contextual","uid":"1068","name":"ger_national_corridor_20121031","domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"minlongitude":142.16623,"description":"GER National Corridor","licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source_link":"http://www.greateasternranges.org.au/ger-corridor-spatial-information","source":"GER","minlatitude":-38.15889,"id":1068},{"enabled":true,"notes":"","path":"/data/ala/data/layers/ready/shape","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","displayname":"GER Kosciuszko to Coast","maxlongitude":150.30479,"path_orig":"layer/ger_kosciuszko2coast_20121031","minlongitude":148.19998,"classification1":"Area Management","type":"Contextual","maxlatitude":-34.60179,"name":"ger_kosciuszko2coast_20121031","uid":"1067","minlatitude":-37.50633,"domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","description":"GER Kosciuszko to Coast","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_kosciuszko2coast_20121031&format=image/png&styles=","classification2":"Great Eastern Ranges","dt_added":1369317600000,"licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":1067},{"enabled":true,"notes":"","description":"GER Kanangra-Boyd to Wyangala Link","path":"/data/ala/data/layers/ready/shape","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","minlatitude":-34.36665,"name":"ger_kanangra_wyangala_20121031","classification1":"Area Management","uid":"1066","maxlongitude":150.0888,"type":"Contextual","path_orig":"layer/ger_kanangra_wyangala_20121031","domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_kanangra_wyangala_20121031&format=image/png&styles=","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"maxlatitude":-33.80663,"minlongitude":148.87569,"licence_level":"1","displayname":"GER Kanangra-Boyd to Wyangala Link","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":1066},{"maxlongitude":152.20769,"enabled":true,"maxlatitude":-31.53845,"notes":"","path_orig":"layer/ger_hunter_valley_20121031","minlatitude":-33.57006,"description":"GER Hunter Valley","path":"/data/ala/data/layers/ready/shape","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_hunter_valley_20121031&format=image/png&styles=","source_link":"http://www.greateasternranges.org.au/regional-spatial-information","name":"ger_hunter_valley_20121031","minlongitude":149.65924,"classification1":"Area Management","uid":"1063","type":"Contextual","domain":"Terrestrial","keywords":"GER","metadatapath":"http://www.greateasternranges.org.au/","licence_link":"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/","classification2":"Great Eastern Ranges","dt_added":1369317600000,"displayname":"GER Hunter Valley","licence_level":"1","licence_notes":"Permission required to re-distribute derivative works. Please contact GER Initiative.","source":"GER","id":1063},{"enabled":true,"source":"Department of Climate Change, Energy, the Environment and Water","licence_notes":"CC-BY","description":"The Collaborative Australian Protected Areas Database (CAPAD) provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments. This dataset is for terrestrial data only. State, Territory and the large NGO conservation agencies supplied data current for 30 June 2022. This is the twelfth version of the terrestrial database, with previous versions released in 1997, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016,2018and 2020.","displayname":"CAPAD 2022 - Terrestrial (Collaborative Australian Protected Areas Database)","mddatest":"2022-08-22","classification1":"Area Management","dt_added":1719276492719,"metadatapath":"https://fed.dcceew.gov.au/content/4b096b91321047dfa344ab35dc4d6f7e/about","type":"Contextual","respparty_role":"Processor","keywords":"capad, terrestrial, conservation","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad_territorial_2024&format=image/png&styles=","citation_date":"2024-06-25","path_orig":"layer/capad_territorial_2024","datalang":"eng","minlatitude":-72.95002,"licence_link":"https://creativecommons.org/licenses/by/4.0/","source_link":"https://www.arcgis.com/home/item.html?id=4b096b91321047dfa344ab35dc4d6f7e","domain":"Terrestrial","maxlatitude":-9.51191,"maxlongitude":167.9649,"name":"capad_territorial_2024","licence_level":"1","classification2":"Biodiversity","minlongitude":60.87928,"id":11219},{"lookuptablepath":"","enabled":true,"citation_date":"2010-02-26","path_orig":"layer/east_afa_final","environmentalvalueunits":"region","scale":"","pid":"","name":"east_afa_final","maxlongitude":171.34529,"notes":"Consistent with the Australian Governments commitment to develop a National Representative System of Marine Protected Areas (MPAs) by 2012, the Department of Environment, Water, Heritage and the Arts (DEWHA) has identified seven Areas for Further Assessment plus the Coral Sea Conservation Zone, within the East Marine Region. The East Areas for Further Assessment DO NOT represent proposed marine reserve boundaries.","minlongitude":144.0,"path":"/data/ala/data/shapefiles/east_afa_final","licence_notes":"Permission required to re-distribute derivative works. Please follow link to further instructions outlined in metadata record.","environmentalvaluemin":"","datalang":"enu","dt_added":1317906000000,"metadatapath":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={84C3149D-E792-4F52-80A3-BB112720C40C}","classification1":"Area Management","mdhrlv":"","licence_link":"","type":"Contextual","source_link":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={84C3149D-E792-4F52-80A3-BB112720C40C}","minlatitude":-36.54257,"displayname":"Areas for Further Assessment within the East Marine Region","domain":"Marine","uid":"900","description":"East Areas for Further Assessment: Batemans, Hunter, Clarence, Tweed, Fraser, Tasmantid, Norfolk, plus the Coral Sea Conservation Zone","maxlatitude":-9.65559,"path_1km":"","keywords":"reserve, coral, 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values from the I01B datapack to the IARE shapefiles from:\r\n\r\nhttps://data.gov.au/dataset/psma-administrative-boundaries\r\n\r\nLsh_Austn_Indig_Lang_TotP (previously I276)\r\n","dt_added":1562237275412,"maxlongitude":167.99803,"type":"Contextual","keywords":"psma, abs, census, indigenous","citation_date":"2016-08-01","displayname":"PSMA ABS Census Indigenous Language Speakers by Area - I01B (2016)","description":"PSMA ABS Australian Census Indigenous Language Speakers by Area (2016), from the I01B results in the Indigenous datapack matched to the PSMA ABS Indigenous 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Energy","name":"nrm_regions_2017","minlatitude":-55.1731,"environmentalvaluemin":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nrm_regions_2017&format=image/png&styles=","classification1":"Area Management","minlongitude":72.24619,"path_orig":"layer/nrm_regions_2017","notes":"Downloaded from WFS server using the following definition file, and ogr2ogr:\r\n\r\n<OGRWFSDataSource>\r\n  <URL>http://www.environment.gov.au/mapping/services/ogc_services/Natural_Resource_Management_Regions/MapServer/WFSServer<\u002fURL>\r\n  <PagingAllowed>On<\u002fPagingAllowed>\r\n<\u002fOGRWFSDataSource>\r\n\r\n","type":"Contextual","maxlongitude":168.22618,"licence_link":"https://creativecommons.org/licenses/by/3.0/au/deed.en","keywords":"administration, government, landcare, heritage, local","datalang":"eng","citation_date":"2017-08-18","respparty_role":"Custodian","domain":"Terrestrial","description":"The Natural Resource 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The dataset is designed to cover all Australian territory where Australian Government funded NRM projects might take place and includes major islands, external territories, and state and coastal waters in addition to the NRM regional boundaries.\r\n\r\nWhilst the boundaries of NRM Regions are defined by legislation in some states and territories, this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future.","mddatest":"2018-04-20","dt_added":1562564881917,"environmentalvalueunits":"","licence_notes":"CC-BY-3.0-AU","environmentalvaluemax":"","metadatapath":"https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAB80DA43-CB00-455D-8A3C-70162EB8D964%7D","licence_level":"1","classification2":"Biodiversity","displayname":"NRM Regions 2017","source_link":"http://www.environment.gov.au/mapping/services/ogc_services/Natural_Resource_Management_Regions/MapServer/WFSServer","id":10930},{"lookuptablepath":"","enabled":true,"maxlatitude":-9.18795,"minlatitude":-55.1731,"source_link":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={FA68F769-550B-4605-A0D5-50B10ECD0EB9}","uid":"916","licence_notes":"Access constraints: This data will be made available for download from the Department's website subject to Commonwealth of Australia Copyright and a licence agreement.\r\nLimitations of use: This is an administrative dataset developed for the purpose of reporting and public information. The dataset is not a legal boundary dataset and does not represent legal boundaries in any way.","name":"nrm_regions_2010","path":"/data/ala/shapefiles/nrm2010","description":"National Resource Management (NRM) Regions","path_orig":"layer/nrm_regions_2010","mddatest":"2011-01-27","environmentalvaluemax":"99","classification1":"Area Management","minlongitude":72.24619,"mdhrlv":"","notes":"The Natural Resource Management (NRM) Regions dataset has been prepared for the purpose of reporting on the Australian Government's Caring for our Country investments. The dataset is designed to cover all Australian territory where Caring for our Country projects might take place and includes major islands; external territories; state and coastal waters; in addition to the 56 NRM regions. This version of the data is an update and formalisation of the 'interim 2010' dataset (which was an interim update of the NRM Regions 2009 dataset- publicly released in Feb 09).\r\n\r\nWhilst the boundaries of NRM Regions are defined by legislation in some states and territories this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future.\r\n\r\nCaring for our Country commenced on 1 July 2008. It integrates delivery of the Australian Government's previous natural resource management programs, including the Natural Heritage Trust, the National Landcare Program, the Environmental Stewardship Program and the Working on Country Indigenous land and sea ranger program.","licence_link":"","type":"Contextual","maxlongitude":168.22618,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nrm_regions_2010&format=image/png&styles=","environmentalvaluemin":"0","dt_added":1327755600000,"environmentalvalueunits":"class","datalang":"eng","domain":"Terrestrial","metadatapath":"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={FA68F769-550B-4605-A0D5-50B10ECD0EB9}","citation_date":"2010-11-11","displayname":"NRM Regions 2010","keywords":"adminisration, government, landcare, heritage, local","respparty_role":"custodian","source":"ERIN","licence_level":"1","classification2":"Biodiversity","id":916},{"dt_added":1458219600000,"lookuptablepath":"","enabled":true,"minlongitude":96.81694,"mddatest":"2012-02-14","keywords":"","minlatitude":-43.74051,"scale":"","path":"/data/ala/data/layers/ready/shape","displayname":"Local Government Areas 2011","pid":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:lga_aust&format=image/png&styles=","maxlatitude":-9.14218,"uid":"959","classification1":"Political","licence_link":"http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/%C2%A9+Copyright?opendocument#from-banner=GB","environmentalvaluemin":"","description":"Local Government Areas","source":"Australian Bureau of Statistics","mdhrlv":"","name":"lga_aust","source_link":"http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1259.0.30.001July%202011?OpenDocument","notes":"The digital boundaries for this edition of the ASGC are consistent with the spatial units described in the structures of the ASGC 2011. Date of effect of this edition is 1 July 2011. Digital boundaries are for Statistical Local Area (SLA), Statistical Subdivision (SSD), Statistical Division (SD), Local Government Area (LGA), Statistical District (SDIST), Major Statistical Region (MSR), Statistical Region (SR), Statistical Region Sector (SRS) and State/Territory (STE).\r\n\r\nThis is the final edition of the ASGC. To assist in the transition to the new Statistical Geography, the Australian Statistical Geography Standard (ASGS), the 2011 SLAs have been aggregated up from the 2011 Mesh Blocks (MB). The 2011 MBs are also the building blocks for the 2011 ASGS.","type":"Contextual","datalang":"eng","path_1km":"","licence_notes":"Creative Commons Attribution 2.5 Australia, Copyright Commonwealth of Australia administered by the ABS","domain":"Terrestrial","classification2":"","environmentalvalueunits":"","citation_date":"2011-07","path_orig":"layer/lga_aust","environmentalvaluemax":"","respparty_role":"custodian","maxlongitude":159.10922,"licence_level":"1","metadatapath":"http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/1259.0.30.001Explanatory%20Notes10July%202011?OpenDocument","id":959},{"enabled":true,"notes":"","source_link":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BE93A9599-3C1E-40EB-A408-DF2C7712F486%7D","minlongitude":109.23348,"keywords":"administration, government, landcare, heritage, local, NRM, Administrative, Management Unit","maxlatitude":-8.88189,"domain":"Terrestrial,Marine","classification2":"Administration","environmentalvaluemin":"","displayname":"National Landcare Program Management Units 2018","respparty_role":"","type":"Contextual","citation_date":"2018-06-21","licence_link":"http://creativecommons.org/licenses/by/3.0/au/deed.en","name":"nlpmu_2018","classification1":"Area management","minlatitude":-47.19364,"datalang":"eng","dt_added":1563921964606,"description":"The NLP Management Units dataset is maintained for the purpose of authoritative reporting on the Australian Government's NRM investments.","source":"Department of Environment and Energy","maxlongitude":163.19208,"mddatest":"2018-06-21","path_orig":"layer/nlpmu_2018","environmentalvalueunits":"","licence_notes":"CC BY","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nlpmu_2018&format=image/png&styles=","environmentalvaluemax":"","licence_level":"1","metadatapath":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BE93A9599-3C1E-40EB-A408-DF2C7712F486%7D","id":10946},{"classification1":"Fire","enabled":true,"notes":"","path_orig":"layer/niafed_20190701_20200323_v20200324_2","mddatest":"2020-03-24","licence_notes":"This dataset is available under the CC-BY data licencing model and users are required to acknowledge the each of the data providers.\r\nNSW Rural Fire Service, Northern Australian Fire Information (NAFI), QLD Fire and Emergency Service, SA Country Fire Service, SA Department for Environment and Water, Tasmanian Fire Service, TAS Department of Primary Industry, Parks, Water and Environment, VIC Department of Environment, Land, Water & Planning, WA Department of Biodiversity, Conservation and Attractions.","name":"niafed_20190701_20200323_v20200324_2","description":"The National Indicative Aggregated Fire Extent Dataset has been developed rapidly to support the immediate needs of the Department of Agriculture, Water and the Environment (DAWE) in:\r\na) quantifying the potential impacts of the 2019/20 bushfires on wildlife, plants and ecological communities;and,\r\nb) identifying appropriate response and recovery actions.\r\n\r\nThe intent was to derive a reliable, agreed, fit for purpose and repeatable national dataset of burnt areas across Australia for the 2019/20 bushfire season.\r\nThe dataset takes the national Emergency Management Spatial Information Network Australia (EMSINA) data service, which is the official fire extent currently used by the Commonwealth, and adds supplementary data from other sources to form a cumulative national view of fire extent. This EMSINA data service shows the current active fire incidents, and the Department map shows the total fire extent from 1 July 2019 to the 23 March 2020.\r\nEMSINA have been instrumental in providing advice on access to data and where to make contact in the early stages of developing the National Indicative Aggregated Fire Extent Dataset.\r\nThis dataset is released on behalf of the Commonwealth Government and endorsed by the National Burnt Area Dataset Working Group, convened by the National Bushfire Recovery Agency.\r\n\r\nKnown Issues:\r\nThe dataset has a number of known issues, both in its conceptual design and in the quality of its inputs. These are outlined below and should be taken into account in interpreting the data and developing any derived analyses.\r\nThe list of known issues below is not comprehensive: it is anticipated that further issues will be identified in the future, and the Department welcomes feedback on this. We will seek as far as possible to continuously improve the dataset in future versions.\r\nIn addition, the 2019/20 bushfire season is ongoing and it can be expected that the fire extent will increase. Future versions of the dataset will therefore document and distinguish between changes arising from methodological improvement, as distinct from changes to the actual fire extent.\r\n1. The dataset draws data together from multiple different sources, including from state and territory agencies responsible for emergency and natural resource management, and from the Northern Australian Fire Information website. The variety of mapping methods means that conceptually the dataset lacks national coherency.\r\n2. The limitations associated with the input datasets are carried through to this dataset. Users are advised to refer to the input datasets’ documentation to better understand limitations.\r\n3. The dataset is intentionally precautionary and the rulesets for its creation elect to accept the risk of overstating the size of particular burnt areas. If and when there are overlapping polygons for an area, the internal boundaries have been dissolved.\r\n4. The dataset shows only the outline of burnt areas and lacks information on fire severity in these areas, which may often include areas within them that are completely unburnt. For the intended purpose this may limit the usability of the data, particularly informing on local environmental impacts and response. This issue will be given priority, either for future versions of the dataset or for development of a separate, but related, fire severity product.\r\n5. This continental dataset includes large burnt areas, particularly in northern Australia, which can be considered part of the natural landscape dynamics. For the intended purpose of informing on fire of potential environmental impact, some interpretation and filtering may be required. There are a variety of ways to do this, including by limiting the analysis to southern Australia, as was done for recent Wildlife and Threatened Species Bushfire Recovery Expert Panel’s preliminary analysis of 13 January 2020. For that preliminary analysis area, boundaries from the Interim Biogeographic Regionalisation of Australia version 7 were used by the Department to delineate an area of southern Australia encompassing the emergency bushfire areas of the southern summer. The Department will work in consultation with the expert panel and other relevant bodies in the future on alternative approaches to defining, spatially or otherwise, fire of potential environmental impact.\r\n6. The dataset cannot be used to reliably recreate what the national burnt area extent was at a given date prior to the date of release. Reasons for this include that information on the date/time on individual fires may or may not have been provided in the input datasets, and then lost as part of the dissolve process discussed in issue 2 above.\r\n7. With fires still burning extents are not yet refined.\r\n8. Fire extents are downloaded daily and datasets are aggregated. This results in an overlap of polygon extents and raises the issue that refined extents are disregarded at this early stage.\r\n9. The NAFI dataset is only current to 18 March 2020.","maxlatitude":-10.58,"metadatapath":"https://www.environment.gov.au/fed/rest/document?id=%7B9ACDCB09-0364-4FE8-9459-2A56C792C743%7D","environmentalvaluemin":"","minlatitude":-43.45405,"dt_added":1586140333828,"maxlongitude":153.5631,"type":"Contextual","source":"Australian Government Department of Agriculture, Water and the Environment","citation_date":"2020-03-23","datalang":"eng","displayname":"National Indicative Aggregated Fire Extent Dataset 2019-2020 - v20200324","licence_link":"https://creativecommons.org/licenses/by/4.0/","respparty_role":"Custodian","domain":"Terrestrial","classification2":"","environmentalvalueunits":"","minlongitude":114.1975,"environmentalvaluemax":"","licence_level":"1","source_link":"https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B9ACDCB09-0364-4FE8-9459-2A56C792C743%7D","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:niafed_20190701_20200323_v20200324_2&format=image/png&styles=","keywords":"fire, bushfire","id":10955},{"maxlatitude":-9.0,"enabled":true,"path_orig":"layer/bioclim_bio5","keywords":"","environmentalvalueunits":"degrees C","dt_added":1308837600000,"displayname":"Temperature - warmest period max (Bio05)","licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","uid":"879","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"metadatapath":"http://fennerschool.anu.edu.au/publications/software/","source":"CSIRO Ecosystem Sciences","environmentalvaluemin":"13.3000001907349","respparty_role":"","name":"bioclim_bio5","licence_link":"","scale":"0.01 degree (~1km)","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio5&format=image/png&styles=","environmentalvaluemax":"42.2000007629395","maxlongitude":153.64,"datalang":"eng","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams. \"Period\" is used here as the month used for the values may not correspond to a single month. For example it may span two months as for example January 15 to February 15.","type":"Environmental","domain":"Terrestrial","classification2":"Temperature","path":"/data/ala/data/source/bioclim1990-asc/bio5.tif","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","description":"Temperature - warmest period max (Bio05)","licence_level":"1","citation_date":"2008-02","id":879},{"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio14&format=image/png&styles=","maxlatitude":-9.0,"enabled":true,"uid":"872","environmentalvaluemax":"40","path":"/data/ala/data/source/bioclim1990-asc/bio14.tif","dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"description":"Precipitation - driest period (Bio14)","path_orig":"layer/bioclim_bio14","metadatapath":"http://fennerschool.anu.edu.au/publications/software/","environmentalvalueunits":"mm","source":"CSIRO Ecosystem Sciences","respparty_role":"","licence_link":"","scale":"0.01 degree (~1km)","classification2":"Precipitation","keywords":"rain","environmentalvaluemin":"0","maxlongitude":153.64,"datalang":"eng","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams. \"Period\" is used here as the month used for the values may not correspond to a single month. For example it may span two months as for example January 15 to February 15.","displayname":"Precipitation - driest period (Bio14)","type":"Environmental","domain":"Terrestrial","name":"bioclim_bio14","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","licence_level":"1","citation_date":"2008-02","id":872},{"maxlatitude":-9.0,"enabled":true,"dt_added":1308837600000,"licence_notes":"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/","description":"Precipitation - wettest period (Bio13)","source_link":"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx","minlatitude":-43.8,"path_orig":"layer/bioclim_bio13","metadatapath":"http://fennerschool.anu.edu.au/publications/software/","environmentalvalueunits":"mm","environmentalvaluemax":"261","source":"CSIRO Ecosystem Sciences","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio13&format=image/png&styles=","respparty_role":"","licence_link":"","scale":"0.01 degree (~1km)","environmentalvaluemin":"4","classification2":"Precipitation","keywords":"rain","uid":"866","maxlongitude":153.64,"datalang":"eng","notes":"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams. \"Period\" is used here as the month used for the values may not correspond to a single month. For example it may span two months as for example January 15 to February 15.","type":"Environmental","domain":"Terrestrial","name":"bioclim_bio13","displayname":"Precipitation - wettest period (Bio13)","minlongitude":112.9,"classification1":"Climate","mddatest":"2010-08","path":"/data/ala/data/source/bioclim1990-asc/bio13.tif","licence_level":"1","citation_date":"2008-02","id":866},{"licence_notes":"This dataset is available under the CC-BY data licencing model and users are required to acknowledge the Australian Government, Department of the Environment and Energy as the source of the data in any of their uses. When citing the data please use ‘Collaborative Australian Protected Areas Database (CAPAD) 2016, Commonwealth of Australia 2017’.","enabled":true,"keywords":"IUCN, reserve, park, conservation, wilderness","notes":"","dt_added":1563405839203,"maxlatitude":-8.88189,"citation_date":"2016-06-30","maxlongitude":170.36667,"environmentalvaluemin":"","source":"Australian Government, Department of the Environment and Energy","classification1":"Area Management","source_link":"https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAF4EE98E-7F09-4172-B95E-067AB8FA10FC%7D","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad_2016_marine&format=image/png&styles=","type":"Contextual","mddatest":"2017-07-11","displayname":"CAPAD 2016 Marine","metadatapath":"https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAF4EE98E-7F09-4172-B95E-067AB8FA10FC%7D","description":"The Collaborative Australian Protected Areas Database (CAPAD) 2016 provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments. This dataset is the marine component of the CAPAD only. Marine CAPAD provides information about off-shore protected areas in both state and Commonwealth waters. State and Territory conservation agencies supplied data current to 30 June 2016. This is the eighth version of the marine database, with previous versions released in 1997, 2002, 2004, 2008, 2010, 2012 and 2014.\r\n","minlongitude":70.71702,"datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","name":"capad_2016_marine","environmentalvalueunits":"","path_orig":"layer/capad_2016_marine","minlatitude":-58.44947,"environmentalvaluemax":"","licence_level":"1","classification2":"Biodiversity","id":10945},{"mddatest":"2017-09-05","licence_notes":"This dataset is available under the CC-BY data licencing model and users are required to acknowledge the Australian Government, Department of the Environment and Energy as the source of the data in any of their uses. When citing the data please use ‘Collaborative Australian Protected Areas Database (CAPAD) 2016, Commonwealth of Australia 2017’.","enabled":true,"metadatapath":"https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B4448CACD-9DA8-43D1-A48F-48149FD5FCFD%7D","keywords":"IUCN, reserve, park, conservation, wilderness","notes":"","name":"capad_2016_terrestrial","minlatitude":-69.47778,"description":"The Collaborative Australian Protected Areas Database (CAPAD) 2016 provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments. This dataset is for terrestrial data only. State, Territory and the large NGO conservation agencies supply data current for 30 June 2016. This is the tenth version of the terrestrial database, with previous versions released in 1997, 2000, 2002, 2004, 2006, 2008, 2010, 2012 and 2014.","citation_date":"2016-06-30","displayname":"CAPAD 2016 Terrestrial","path_orig":"layer/capad_2016_terrestrial","environmentalvaluemin":"","source":"Australian Government, Department of the Environment and Energy","classification1":"Area Management","type":"Contextual","minlongitude":60.87927,"datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","maxlatitude":-9.51191,"maxlongitude":167.9649,"environmentalvalueunits":"","dt_added":1563255290531,"environmentalvaluemax":"","source_link":"https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B4448CACD-9DA8-43D1-A48F-48149FD5FCFD%7D","licence_level":"1","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad_2016_terrestrial&format=image/png&styles=","classification2":"Biodiversity","id":10944},{"dt_added":1719276464246,"enabled":true,"maxlatitude":-9.14216,"licence_notes":"CC-BY","minlatitude":-43.7405,"maxlongitude":167.99804,"mddatest":"2021-07-20","classification1":"Social","source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","type":"Contextual","respparty_role":"Processor","minlongitude":96.81695,"citation_date":"2024-06-25","datalang":"eng","keywords":"statistical, areas","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","displayname":"Statistical Areas Level 1","path_orig":"layer/sa1_2021","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sa1_2021&format=image/png&styles=","name":"sa1_2021","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas/statistical-area-level-1","classification2":"Statistical Areas","licence_level":"1","description":"Statistical Areas Level 1 (SA1s) are geographic areas built from whole Mesh Blocks. 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Examples include the Migratory and No Usual Address SA1s.\r\n\r\nSA1s are also used as the building blocks for some ASGS geographies, including the Indigenous Structure, Significant Urban Areas, Urban Centres and Localities, Section of State Structure, and the Remoteness Structure.\r\n\r\nIn WGS84 CRS.","id":11220},{"classification1":"Vegetation","metadatapath":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B21a53368-c383-4ec1-bf51-878b369ce303%7D","lookuptablepath":"","enabled":true,"licence_notes":"Separate State/Territory acknowledgement required on citation","minlongitude":109.50436,"notes":"","keywords":"dominant, tree, forest, woodland, canopy, understory","uid":"2124","scale":"","licence_link":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B21a53368-c383-4ec1-bf51-878b369ce303%7D","pid":"","dt_added":1448542800000,"licence_level":"","minlatitude":-44.31837,"displayname":"NVIS 4.1 Major Vegetation Subgroups","environmentalvaluemin":"","mdhrlv":"","source":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B21a53368-c383-4ec1-bf51-878b369ce303%7D","type":"Contextual","name":"nvis41_mvs","description":"Eighty-five (85) Major Vegetation Subgroups identified in v4.1 to summarise the type and distribution of Australia's native vegetation. 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For example, the dominant vegetation in an area may be mapped as dominated by eucalypt open forest with a shrubby understorey, although it contains pockets of rainforest, shrubland and grassland vegetation as subdominants.","source_link":"http://www.environment.gov.au/fed/catalog/search/resource/downloadData.page?uuid=%7B21a53368-c383-4ec1-bf51-878b369ce303%7D","extents":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nvis41_mvs&format=image/png&styles=","classification2":"Classification","mddatest":"","maxlongitude":157.21622,"path":"/data/ala/data/layers/ready/shape_diva","path_1km":"","respparty_role":"Custodian","domain":"Terrestrial","environmentalvalueunits":"","datalang":"","maxlatitude":-8.13987,"path_orig":"layer/nvis41_mvs","environmentalvaluemax":"","citation_date":"11/2012","id":2124},{"lookuptablepath":"","enabled":true,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_mooroopna&format=image/png&styles=","keywords":"sds","scale":"","path":"/data/ala/data/layers/ready/shape","classification2":"Phylloxera Infection Zone","maxlongitude":145.39531,"displayname":"Phylloxera Infection Zone - Mooroopna, Victoria","metadatapath":"http://www.dpi.vic.gov.au/","notes":"Contact:\r\nCopyright.Services@dpi.vic.gov.au","source":"http://www.dpi.vic.gov.au/","environmentalvaluemin":"","licence_notes":"This material is © State of Victoria Department of Primary Industries. 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This version was released in January 2020.\r\n\r\nFick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. 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Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. 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Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. 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Redistribution, or commercial use, is not allowed without prior permission.","uid":"785","environmentalvalueunits":"degrees C * 10","description":"Mean Diurnal Range","datalang":"eng","source_link":"http://www.worldclim.org/","environmentalvaluemax":"214","path_1km":"","type":"Environmental","domain":"Terrestrial","environmentalvaluemin":"9","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","displayname":"WorldClim: Temperature - diurnal range mean","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","path":"/mnt/transfer/worldclim/bio_2.tif","licence_level":"1","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_2&format=image/png&styles=","path_orig":"layer/worldclim_bio_2","keywords":"day, daily, max, ratio, bio02","id":785},{"name":"worldclim_bio_17","lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"dt_added":1308837600000,"pid":"","citation_date":"","displayname":"WorldClim: Precipitation - driest quarter","minlongitude":-180.0,"environmentalvalueunits":"mm","mdhrlv":"","description":"Precipitation of Driest Quarter","path_orig":"layer/worldclim_bio_17","scale":"0.01 degree (~1km)","uid":"782","classification2":"Precipitation","minlatitude":-60.0,"keywords":"rain, bio17","path":"/mnt/transfer/worldclim/bio_17.tif","licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_17&format=image/png&styles=","environmentalvaluemin":"0","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","environmentalvaluemax":"2495","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","id":782},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","uid":"794","source":"WorldClim","maxlongitude":180.0,"name":"worldclim_bio_15","dt_added":1308837600000,"environmentalvalueunits":"dimensionless","environmentalvaluemax":"265","pid":"","description":"Precipitation Seasonality","citation_date":"","minlongitude":-180.0,"mdhrlv":"","path_orig":"layer/worldclim_bio_15","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_15&format=image/png&styles=","scale":"0.01 degree (~1km)","keywords":"rain, bio15","classification2":"Precipitation","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvaluemin":"0","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","path":"/mnt/transfer/worldclim/bio_15.tif","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","displayname":"WorldClim: Precipitation - seasonality","id":794},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_14&format=image/png&styles=","path":"/mnt/transfer/worldclim/bio_14.tif","maxlongitude":180.0,"dt_added":1308837600000,"name":"worldclim_bio_14","pid":"","citation_date":"","displayname":"WorldClim: Precipitation - driest month","minlongitude":-180.0,"environmentalvalueunits":"mm","mdhrlv":"","path_orig":"layer/worldclim_bio_14","uid":"791","scale":"0.01 degree (~1km)","classification2":"Precipitation","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvaluemin":"0","keywords":"rain, bio14","description":"Precipitation of Driest Month","datalang":"eng","source_link":"http://www.worldclim.org/","environmentalvaluemax":"752","path_1km":"","type":"Environmental","domain":"Terrestrial","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","id":791},{"uid":"793","lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"name":"worldclim_bio_1","dt_added":1308837600000,"environmentalvaluemax":"320","pid":"","citation_date":"","minlongitude":-180.0,"mdhrlv":"","keywords":"bio01","scale":"0.01 degree (~1km)","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvalueunits":"degrees C * 10","datalang":"eng","source_link":"http://www.worldclim.org/","displayname":"WorldClim: Temperature - annual mean","path_1km":"","type":"Environmental","domain":"Terrestrial","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_1&format=image/png&styles=","classification2":"Temperature","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"path":"/mnt/transfer/worldclim/bio_1.tif","classification1":"Climate","description":"Annual Mean Temperature","respparty_role":"custodian","mddatest":"2010-07","path_orig":"layer/worldclim_bio_1","licence_level":"1","environmentalvaluemin":"-290","id":793},{"lookuptablepath":"","licence_link":"http://www.worldclim.org/current","enabled":true,"metadatapath":"https://gist.github.com/tucotuco/1152668","source":"WorldClim","maxlongitude":180.0,"name":"worldclim_bio_12","dt_added":1308837600000,"pid":"","citation_date":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_12&format=image/png&styles=","path_orig":"layer/worldclim_bio_12","minlongitude":-180.0,"environmentalvalueunits":"mm","description":"Annual Precipitation","mdhrlv":"","scale":"0.01 degree (~1km)","path":"/mnt/transfer/worldclim/bio_12.tif","classification2":"Precipitation","minlatitude":-60.0,"licence_notes":"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.","environmentalvaluemax":"11401","keywords":"rain, bio12","environmentalvaluemin":"0","uid":"788","datalang":"eng","source_link":"http://www.worldclim.org/","path_1km":"","type":"Environmental","domain":"Terrestrial","notes":"(From http://www.worldclim.org/methods) - For a complete description, see:\r\n\r\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\r\n\r\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\r\n\r\nThe WorldClim interpolated climate layers were made using:\r\n    * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\r\n    * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\r\n    * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.","maxlatitude":90.0,"classification1":"Climate","respparty_role":"custodian","mddatest":"2010-07","licence_level":"1","displayname":"WorldClim: Precipitation - annual","id":788},{"displayname":"Occurrence Density","dt_added":1439388000000,"lookuptablepath":"","enabled":true,"uid":"898","pid":"","path":"/data/ala/data/source/occurrence_layers/layer_occurrence_av_1.tif","citation_date":"","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:odensity&format=image/png&styles=","name":"odensity","environmentalvaluemax":"446649","domain":"Terrestrial,Marine","maxlongitude":159.23333,"minlongitude":96.79992,"mdhrlv":"","respparty_role":"","keywords":"average, sample","licence_link":"","scale":"0.01 degree (~1km)","notes":"Occurrence Density is derived by applying a moving average to all point occurrences held by the Atlas of Living Australia. If all occurrences are mapped (over terrestrial and marine areas), a moving average is like moving a window with many panes over the area, noting the number of occurrences in each pane and placing the average of all panes at the centre pane. The window is moved to the next sample location and the process repeated. Occurrence density uses a 9 by 9 pane window where each pane is 0.01 degrees latitude/longitude. Each move of the window is 0.01 degrees.\r\n\r\nScope: World","maxlatitude":-10.46623,"environmentalvaluemin":"0","mddatest":"","path_orig":"layer/odensity","licence_notes":"","source_link":"","path_1km":"","minlatitude":-36.41364,"type":"Environmental","classification2":"","datalang":"","licence_level":"1","classification1":"Biodiversity","environmentalvalueunits":"frequency","metadatapath":"http://www.ala.org.au/","source":"ALA-SPATIAL","description":"Occurrence Density","id":898},{"classification1":"Vegetation","enabled":true,"mddatest":"12-2018","notes":"","metadatapath":"https://www.awe.gov.au/abares/forestsaustralia/forest-data-maps-and-tools/spatial-data/forest-cover","maxlongitude":180.0,"environmentalvaluemax":"0.0","description":"Forests of Australia (2018) is a continental spatial dataset of forest extent,\r\nby national forest categories and types, assembled for Australia's State of\r\nthe Forests Report 2018. It was developed from multiple forest, vegetation\r\nand land cover data inputs, including contributions from Australian, state\r\nand territory government agencies and external sources.\r\nA forest is defined in this dataset as \"An area, incorporating all living and\r\nnon-living components, that is dominated by trees having usually a single\r\nstem and a mature or potentially mature stand height exceeding two metres\r\nand with existing or potential crown cover of overstorey strata about equal\r\nto or greater than 20 per cent. This includes Australia's diverse native\r\nforests and plantations, regardless of age. It is also sufficiently broad to\r\nencompass areas of trees that are sometimes described as woodlands\".\r\nThe dataset was compiled by the Australian Bureau of Agricultural and\r\nResource Economics and Sciences (ABARES) for the National Forest\r\nInventory (NFI), a collaborative partnership between the Australian and\r\nstate and territory governments. The role of the NFI is to collate, integrate\r\nand communicate information on Australia's forests. State and territory\r\ngovernment agencies collect forest data using independent methods and\r\nat varying scales or resolutions. The NFI applies a national classification to\r\nstate and territory data to allow seamless integration of these datasets.\r\nMultiple independent sources of external data are used to fill data gaps\r\nand improve the quality of the final dataset.\r\nThe NFI classifies forests into three national forest categories (Native\r\nforest, Commercial plantation, and Other forest) and then into various\r\nforest types. Commercial plantations presented in this dataset were\r\nsourced from the National Plantation Inventory (NPI) spatial dataset\r\n(2016), also produced by ABARES. Another dataset produced by ABARES,\r\nthe Catchment scale Land Use and Management (CLUM) dataset (2016),\r\nwas used to identify and mask out land uses that are inappropriate to map\r\nas forest. ","minlongitude":-180.0,"name":"for2018","keywords":"forest,australia","citation_date":"30-06-18","type":"Contextual","source":"ABARES","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:for2018&format=image/png&styles=","environmentalvaluemin":"0.0","uid":"10000","datalang":"eng","path_orig":"layer/for2018","licence_notes":"","licence_link":"https://creativecommons.org/licenses/by/4.0/","respparty_role":"Custodian","domain":"Terrestrial","classification2":"","dt_added":1644815699665,"environmentalvalueunits":"","maxlatitude":90.0,"displayname":"Forests of Australia 2018B","minlatitude":-90.0,"licence_level":"1","source_link":"https://www.awe.gov.au/abares/forestsaustralia/forest-data-maps-and-tools/spatial-data/forest-cover","id":10000},{"path_orig":"layer/capad2018_marine","enabled":true,"description":"The Collaborative Australian Protected Areas Database (CAPAD) 2018 provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments. This dataset is the marine component of the CAPAD only. Marine CAPAD provides information about off-shore protected areas in both state and Commonwealth waters. State and Territory conservation agencies supplied data current to 30 June 2018. This is the ninth version of the marine database, with previous versions released in 1997, 2002, 2004, 2008, 2010, 2012, 2014 and 2016.","keywords":"IUCN, reserve, park, conservation, wilderness","notes":"","maxlatitude":-8.88189,"source_link":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAF4EE98E-7F09-4172-B95E-067AB8FA10FC%7D","dt_added":1620358764389,"maxlongitude":170.36667,"environmentalvaluemin":"","licence_notes":"CAPAD 2018 is available for use through the CC-BY 4.0 licencing model.","source":"Australian Government, Department of the Environment and Energy","classification1":"Area Management","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad2018_marine&format=image/png&styles=","name":"capad2018_marine","type":"Contextual","citation_date":"2019-05-14","displayname":"CAPAD 2018 Marine","domain":"Marine","minlongitude":70.71702,"datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","respparty_role":"Distributor","classification2":"","mddatest":"2019-05-14","environmentalvalueunits":"","minlatitude":-58.44947,"metadatapath":"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAF4EE98E-7F09-4172-B95E-067AB8FA10FC%7D","environmentalvaluemax":"","licence_level":"1","id":10957},{"enabled":true,"citation_date":"2024-06-11","maxlongitude":180.0,"licence_notes":"CC-BY","description":"Local Government Areas are an ABS Mesh Block approximation of gazetted local government boundaries as defined by each state and territory. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.\r\n\r\nin WGS84 CRS.","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:lga_2023&format=image/png&styles=","classification1":"Political","mddatest":"2021-10-06","path_orig":"layer/lga_2023","minlongitude":-180.0,"source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","name":"lga_2023","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/local-government-areas","dt_added":1718339074504,"type":"Contextual","respparty_role":"Processor","datalang":"eng","displayname":"Local Government Areas 2023","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","keywords":"local, government, areas, lga, lgas","maxlatitude":90.0,"minlatitude":-90.0,"licence_level":"1","id":11170},{"enabled":true,"maxlatitude":-9.14216,"licence_notes":"CC-BY","path_orig":"layer/lgas_2025","environmentalvalueunits":"dimensionless","minlatitude":-43.7405,"classification1":"Political","maxlongitude":167.99804,"mddatest":"2021-06-10","source_link":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files","source":"Australian Bureau of Statistics","metadatapath":"https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures/local-government-areas","type":"Contextual","minlongitude":96.81695,"dt_added":1775081707289,"description":"Local Government Areas are an ABS Mesh Block approximation of gazetted local government boundaries as defined by each state and territory. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.","name":"lgas_2025","datalang":"eng","citation_date":"2026-04-01","displayname":"Local Government Areas 2025","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:lgas_2025&format=image/png&styles=","licence_level":"1","id":11014},{"enabled":true,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","description":"An IPA is an area of Indigenous-owned land or sea where traditional Indigenous owners have entered into an agreement with the Australian Government to promote biodiversity and cultural resource conservation - making up over half of Australia's National Reserve System.","source":"Digital Atlas of Australia / DCCEEW","classification2":"Protected Areas","mddatest":"2026-03-03","path_orig":"layer/ipas_2026","type":"Contextual","licence_link":"http://creativecommons.org/licenses/by/3.0/au/deed.en","metadatapath":"https://digital.atlas.gov.au/datasets/digitalatlas::indigenous-protected-areas-ipa-dedicated/about","source_link":"https://digital.atlas.gov.au/datasets/96c3f0a2e1814a4394811146f870aa5f_0/explore?location=-26.312679%2C135.315523%2C4","minlatitude":-43.11345,"maxlongitude":153.46775,"datalang":"eng","citation_date":"2026-04-01","domain":"Terrestrial","respparty_role":"Distributor","maxlatitude":-9.51191,"name":"ipas_2026","classification1":"Indigenous","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ipas_2026&format=image/png&styles=","displayname":"Indigenous Protected Areas (updated 1 April 2026)","licence_level":"1","minlongitude":117.1633,"dt_added":1775081806535,"id":11013},{"enabled":true,"minlongitude":72.5774,"minlatitude":-54.77698,"environmentalvalueunits":"dimensionless","maxlatitude":-9.14128,"metadatapath":"https://digital.atlas.gov.au/datasets/digitalatlas::interim-biogeographic-regionalisation-for-australia-ibra-version-7-1-regions/about","source":"Digital Atlas of Australia / DCCEEW","classification1":"Area Management","description":"Interim Biogeographic Regionalisation for Australia (IBRA) version 7.1 represents a landscape based approach to classifying the land surface of Australia. 89 biogeographic regions and 419 subregions have been delineated, each reflecting a unifying set of major environmental influences which shape the occurrence of flora and fauna and their interaction with the physical environment across Australia and its external territories (excluding Antarctica).\r\n\r\nFor more information please visit the website page on Australia's bioregions (IBRA).\r\n\r\nIBRA Version 7.1 data consists of two datasets. IBRA regions, which is a larger scale regional classification of homogeneous ecosystems, and subregions, which are more localised. IBRA Version 7.1 is a minor update to IBRA Version 7.0 to coincide with the release of the CAPAD 2024 dataset to more closely conform to the Geoscience Australia (GA) Australia’s Land Borders (see https://pid.geoscience.gov.au/dataset/ga/140044).\r\n\r\nIBRA Version 7.0 regions and subregions are realigned to the updated GA jurisdiction borders in some locations. For example, the Victorian Riverina subregion runs along the NSW-Vic border, the border in this area is updated to better align with the river. IBRA Version 7.1 restores the South Bruny land mass portion of Bruny Island (Tas) back to the Southern Ranges region Southern Ranges sub region to which it was assigned in IBRA Version 6.1. The whole of Bruny Island was incorrectly assigned to the South East region and Tasmanian South East subregion in IBRA Version 7. IBRA Version 7.1, aligns Ball’s Pyramid (south of Lord Howe Island) to other coastal data sources.","type":"Contextual","displayname":"IBRA 7.1 Regions","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra_7_1_regions&format=image/png&styles=","datalang":"eng","citation_date":"2026-04-01","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","maxlongitude":167.99814,"classification2":"Conservation","path_orig":"layer/ibra_7_1_regions","licence_level":"1","source_link":"https://digital.atlas.gov.au/datasets/6ff58838e7fe41d4981d51fcd9364b15_0/explore?location=2.539771%2C-167.466148%2C2","name":"ibra_7_1_regions","mddatest":"2026-02-26","dt_added":1775081862662,"id":11015},{"enabled":true,"minlongitude":72.5774,"minlatitude":-54.77698,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","description":"Interim Biogeographic Regionalisation for Australia (IBRA) version 7.1 represents a landscape based approach to classifying the land surface of Australia. 89 biogeographic regions and 419 subregions have been delineated, each reflecting a unifying set of major environmental influences which shape the occurrence of flora and fauna and their interaction with the physical environment across Australia and its external territories (excluding Antarctica). IBRA Version 7.1 data consists of two datasets. IBRA regions, which is a larger scale regional classification of homogeneous ecosystems, and subregions, which are more localised.\r\n\r\nFor more information please visit the website page on Australia's bioregions (IBRA).\r\n\r\nIBRA Version 7.1 data consists of two datasets. IBRA regions, which is a larger scale regional classification of homogeneous ecosystems, and subregions, which are more localised. IBRA Version 7.1 is a minor update to IBRA Version 7.0 to coincide with the release of the CAPAD 2024 dataset to more closely conform to the Geoscience Australia (GA) Australia’s Land Borders (see https://pid.geoscience.gov.au/dataset/ga/140044).\r\n\r\nIBRA Version 7.0 regions and subregions are realigned to the updated GA jurisdiction borders in some locations. For example, the Victorian Riverina subregion runs along the NSW-Vic border, the border in this area is updated to better align with the river. IBRA Version 7.1 restores the South Bruny land mass portion of Bruny Island (Tas) back to the Southern Ranges region Southern Ranges subregion to which it was assigned in IBRA Version 6.1. The whole of Bruny Island was incorrectly assigned to the South East region and Tasmanian South East subregion in IBRA Version 7. IBRA Version 7.1, aligns Ball’s Pyramid (south of Lord Howe Island) to other coastal data sources.","maxlatitude":-9.14128,"source":"Digital Atlas of Australia / DCCEEW","classification1":"Area Management","displayname":"IBRA 7.1 Subegions","metadatapath":"https://digital.atlas.gov.au/datasets/digitalatlas::interim-biogeographic-regionalisation-for-australia-ibra-version-7-1-subregions/about","type":"Contextual","path_orig":"layer/ibra_7_1_subregions","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra_7_1_subregions&format=image/png&styles=","dt_added":1775081923936,"datalang":"eng","citation_date":"2026-04-01","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","maxlongitude":167.99814,"source_link":"https://digital.atlas.gov.au/datasets/2b635673fdba4c588a6c8b4c931ce263_0/explore?location=-31.959141%2C120.287758%2C3","classification2":"Conservation","licence_level":"1","mddatest":"2026-02-26","name":"ibra_7_1_subregions","id":11016},{"metadatapath":"https://www.nntt.gov.au/assistance/Geospatial/Pages/Metadata.aspx?filename=%20ISO19139/Registered%20Native%20Title%20Bodies%20Corporate","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rntbc_2026&format=image/png&styles=","enabled":true,"maxlongitude":180.0,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","source":"National Native Title Tribunal","source_link":"https://www.nntt.gov.au/assistance/Geospatial/Pages/DataDownload.aspx","mddatest":"2021-06-10","classification2":"Native Title","minlongitude":-180.0,"type":"Contextual","datalang":"eng","citation_date":"2026-04-01","licence_link":"https://creativecommons.org/licenses/by/4.0/","dt_added":1775081748053,"domain":"Terrestrial","respparty_role":"Distributor","displayname":"Registered Native Title Bodies Corportate (updated 1 April 2026)","classification1":"Indigenous","path_orig":"layer/rntbc_2026","maxlatitude":90.0,"name":"rntbc_2026","minlatitude":-90.0,"licence_level":"1","description":"RNTBCs (Registered Native Title Bodies Corporate) are corporations which have prescribed functions under the Native Title Act 1993 (NTA) to hold, protect and manage determined native title and ensure certainty for governments and other parties interested in accessing or regulating native title land and waters by providing a legal entity to manage and conduct the affairs of the native title holders. PBCs (Prescribed Bodies Corporate) are established as an interim measure to represent native title owners and their interests until an RNTBC is formally registered.","id":11012},{"enabled":true,"displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:au_marine_parks_2026&format=image/png&styles=","maxlongitude":180.0,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","name":"au_marine_parks_2026","path_orig":"layer/au_marine_parks_2026","dt_added":1775086825472,"source_link":"https://digital.atlas.gov.au/datasets/digitalatlas::australian-marine-parks/about","minlongitude":-180.0,"source":"Digital Atlas of Australia / DCCEEW","citation_date":"2026-04-02","description":"Summary\r\nMarine parks help conserve marine habitats and the marine species that live within and rely on these habitats. The Australian Government Department of Climate Change, Energy, the Environment and Water (DCCEEW) has established 62 marine parks around the country.\r\n\r\n\r\n\r\nAbstract\r\nConsistent with the Australian Government's commitment to develop a National Representative System of Marine Protected Areas, networks of marine parks have been proclaimed for Commonwealth waters across the North, North-west, South-west, Temperate East and Coral Sea Marine Regions and, most recently, in the Indian Ocean Territories. These networks build on previous marine protected area proclamations, including the South-east Marine Parks Network declared in 2007. This data contains spatial and contextual information about Australian Marine Parks proclaimed under the Commonwealth Government's Environment Protection and Biodiversity Conservation Act 1999, which are managed by Parks Australia, with the addition of Heard Island and McDonald Islands Marine Reserve, which is managed by the Australian Antarctic Division\r\nhttp://www.heardisland.aq/protection-and-management/marine-reserve\r\n\r\nThis dataset does not include data on marine protected areas in other Australian jurisdictions (e.g. the Great Barrier Reef Marine Park, State/Territory marine parks), or terrestrial protected areas with marine components (e.g. Pulu Keeling National Park).\r\n\r\nMore information can be found at http://parksaustralia.gov.au/marine","type":"Contextual","classification1":"Marine","datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","maxlatitude":90.0,"metadatapath":"https://digital.atlas.gov.au/datasets/digitalatlas::australian-marine-parks/about","displayname":"Australian Marine Parks 2026","minlatitude":-90.0,"licence_level":"1","mddatest":"2026-02-26","id":11018},{"enabled":true,"dt_added":1775102726909,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","metadatapath":"https://digital.atlas.gov.au/datasets/digitalatlas::collaborative-australian-protected-areas-database-capad-marine/about","description":"Summary\r\nInformation on protected marine areas from state and territory governments and other protected area managers, from the Australian Government Department of Climate Change, Energy, the Environment and Water (DCCEEW).\r\n\r\n\r\n\r\nAbstract\r\nWeb Service for the Collaborative Australian Protected Areas Database (CAPAD) 2024. CAPAD provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments.\r\n\r\nThis dataset is the marine component of the CAPAD only. Marine CAPAD provides information about off-shore protected areas in both state and Commonwealth waters. State and Territory conservation agencies supplied data current to 30 June 2024. This is the ninth version of the marine database, with previous versions released in 1997, 2002, 2004, 2008, 2010, 2012, 2014, 2016, 2018, 2020 and 2022.\r\n\r\nThe Department also publishes protected areas data for the terrestrial environment. The terrestrial component of the database has been previously released in 1997, 2000, 2002, 2004, 2006, 2008 2010, 2012, 2014, 2016, 2018, 2020 and 2022.\r\n\r\nCAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area: \"A protected area is a clearly defined geographical space, recognised, dedicated and managed, through legal or other effective means, to achieve the long term conservation of nature with associated ecosystem services and cultural values.\" (IUCN Definition 2008).\r\n\r\nThe department publishes a summary of the CAPAD data biennially on its website http://www.environment.gov.au/capad/.\r\n\r\nCurrency\r\nDate modified: 30 June 2024\r\n\r\nModification frequency: Every 2 years\r\n\r\nData extent\r\nSpatial extent\r\nNorth: -8.881893°\r\nSouth: -58.449470°\r\nEast: 170.366667°\r\nWest: 70.717024°\r\n\r\nSource information\r\nThis dataset is provided by the Department of Climate Change, Energy, the Environment and Water","maxlongitude":170.36667,"name":"capad_marine_2024","path_orig":"layer/capad_marine_2024","source":"Digital Atlas of Australia / DCCEEW","maxlatitude":-8.47341,"type":"Contextual","source_link":"https://digital.atlas.gov.au/datasets/b402e57b240d48069400e75ae68348ea_1/explore?location=-33.665681%2C120.541845%2C3","classification1":"Marine","displayname":"CAPAD 2024 Marine","minlongitude":70.71702,"datalang":"eng","licence_link":"https://creativecommons.org/licenses/by/4.0/","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad_marine_2024&format=image/png&styles=","domain":"Terrestrial","respparty_role":"Distributor","citation_date":"2026-03-24","minlatitude":-58.44947,"licence_level":"1","mddatest":"2026-02-26","id":11001},{"enabled":true,"name":"ramsar_wetlands_2026","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ramsar_wetlands_2026&format=image/png&styles=","licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","path_orig":"layer/ramsar_wetlands_2026","minlatitude":-42.82884,"maxlongitude":159.23333,"mddatest":"2026-01-29","source":"Digital Atlas of Australia / DCCEEW","metadatapath":"https://digital.atlas.gov.au/datasets/digitalatlas::ramsar-wetlands/about","classification1":"Area Management","minlongitude":96.79992,"description":"Summary\r\nRamsar wetlands are those that are representative, rare or unique wetlands, or are important for conserving biological diversity. Listing provided by the Australian Government Department of Climate Change, Energy, the Environment and Water (DCCEEW).\r\n\r\nAbstract\r\nNational dataset of Australia's Ramsar Wetlands.\r\n\r\nThe Convention on Wetlands of International Importance (the Ramsar Convention) was signed in Ramsar, Iran on 2 February 1971. The Ramsar Convention aims to halt the worldwide loss of wetlands and to conserve, through wise use and management, those that remain. The Convention encourages member countries to nominate sites containing representative, rare or unique wetlands, or that are important for conserving biological diversity, to the List of Wetlands of International Importance (Ramsar sites). Australia was one of the first countries to become a Contracting Party to the Convention and designated the world's first Ramsar site, Cobourg Peninsula, in 1974.\r\n\r\nThis project was initiated by the Wetlands Section of the Australian Government Department of Climate Change, Energy, the Environment and Water. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.\r\n\r\nParticipating Agencies:\r\n\r\nACT Government, Environment and Planning Directorate,\r\nNSW Office of the Environment and Heritage,\r\nNT Department of Land Resource Management,\r\nQld Department of Department of Environment and Heritage Protection,\r\nSA Department of Environment, Water and Natural Resources,\r\nTas Department of Primary Industries, Parks, Water and Environment,\r\nVic Department of Environment, Land, Water and Planning,\r\nWA Department of Environment and Conservation.\r\nCurrency\r\nDate modified: 29 January 2026\r\n\r\nModification frequency: As needed\r\n\r\nData extent\r\nSpatial extent\r\n\r\nNorth: -10.466231°\r\nSouth: -42.828841°\r\nEast: 159.233333°\r\nWest: 96.799917°\r\n\r\nTemporal extent\r\n\r\nFrom 20 November 2002 to Present\r\n\r\nSource information\r\nThis dataset is provided by the Department of Climate Change, Energy, the Environment and Water","type":"Contextual","maxlatitude":-10.46623,"datalang":"eng","dt_added":1775103752295,"displayname":"Ramsar Wetlands (updated March 2026)","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","source_link":"https://digital.atlas.gov.au/datasets/7be865b1681d4abfa305fba67d5b27d1_0/explore?location=-26.647536%2C128.016625%2C4","citation_date":"2026-03-24","classification2":"Conservation","licence_level":"1","id":11004},{"enabled":true,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","maxlatitude":-8.88188,"classification2":"RATSIB Areas","minlongitude":109.23346,"source":"National Native Title Tribunal","description":"Areas within which representative bodies provide services to native title parties.\r\n\r\nA representative Aboriginal, Torres Strait Islander body (RATSIB) is a body recognised by the Commonwealth under s 203AD of the NTA to represent native title holders and persons who may hold native title and to consult with Aboriginal and Torres Strait Islander persons within a specified area. The statutory functions of RATSIBs are detailed in Part 11 Division 3 of the NTA and include:a) facilitation and assistance to prepare and progress native title applications and negotiation of future act processes; b) certification of native title applications and applications for registration of an ILUA; c) resolution of disputes between constituents; d) notification to persons who hold or may hold native title in the area of notices that relate to land and water in the RATSIB area; and e) agreement making to be a party to ILUAs as appropriate in its specified area.","source_link":"https://www.nntt.gov.au/assistance/Geospatial/Pages/DataDownload.aspx","name":"ratsib_2026","displayname":"Representative Aboriginal and Torres Strait Islander Body areas (updated 24th March 2026)","type":"Contextual","metadatapath":"http://nntt.gov.au/assistance/Geospatial/Pages/Metadata.aspx?filename=%20ISO19139/RATSIB%20Areas","datalang":"eng","minlatitude":-47.19363,"licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","path_orig":"layer/ratsib_2026","maxlongitude":163.19208,"classification1":"Indigenous","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ratsib_2026&format=image/png&styles=","citation_date":"2026-03-24","dt_added":1775103869360,"licence_level":"1","mddatest":"2026-03-18","id":11006},{"enabled":true,"licence_notes":"CC-BY","environmentalvalueunits":"dimensionless","name":"ilua_2026","source":"National Native Title Tribunal","description":"Agreements between native title and non-native title parties on managing their interests in the land.\r\n\r\nAn indigenous land use agreement (ILUA) is a voluntary, legally binding agreement about the use and management of land or waters, made between one or more native title groups and non-native title interest holders in the ILUA area (such as grantee parties, pastoralists or governments). The Register of Indigenous Land Use Agreements is kept by the Native Title Registrar in accordance with s 199A of the NTA and includes a description of the ILUA area, the parties' names, the term of the ILUA and other information as the Registrar considers is appropriate (s 199B of the NTA). Registration confers a contractual effect on the ILUA and binds all persons holding native title regardless as to whether they are already parties to the ILUA (s 24EA of the NTA). Note: This dataset contains records of ILUAs that have been publicly notified and/or registered.","source_link":"https://www.nntt.gov.au/assistance/Geospatial/Pages/DataDownload.aspx","metadatapath":"https://www.nntt.gov.au/assistance/Geospatial/Pages/Metadata.aspx?filename=%20ISO19139/Indigenous%20Land%20Use%20Agreements","type":"Contextual","path_orig":"layer/ilua_2026","classification2":"Land Use Agreements","maxlongitude":153.63884,"datalang":"eng","displaypath":"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ilua_2026&format=image/png&styles=","licence_link":"https://creativecommons.org/licenses/by/4.0/","domain":"Terrestrial","respparty_role":"Distributor","classification1":"Indigenous","maxlatitude":-9.14194,"minlongitude":112.92089,"citation_date":"2026-03-24","dt_added":1775103928175,"licence_level":"1","displayname":"Indigenous Land Use Agreements (updated 24 March 2026)","minlatitude":-38.78877,"mddatest":"2026-02-26","id":11007}]