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2016 SoE Biodiversity The distribution of phylogenetic endemism for Passerine birds across Australia
No full textMap showing the distribution of phylogenetic endemism for passerine birds in Australia. Underpinning data sourced from the Australian Natural Heritage Assessment Tool (ANHAT), Australian Government Department of the Environment and Energy. For further information on ANHAT see:\r\nhttp://www.environment.gov.au/heritage/publications/australian-natural-heritage-assessment-tool\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure BIO7 (c) (map 2 of 2) in the Biodiversity theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au\r\n\r\nThe map service can be viewed at: http://soe.terria.io/#share=s-8GGxiqYRcogKYWsta5sNgYVU0Kl\r\n\r\nDownloadable spatial data also available below.\r\nBIO7cb Phylogenetic endemism for Passerine birds - Map prepared by the Department of Environment and Energy\r\n\r\nSource: Australian Natural Heritage Assessment Tool, Australian Government Department of the Environment and Energy\r\n<br/>BIO7cii The distribution of phylogenetic endemism for Passerine birds across Australia - Downloadable shape and layer files showing the distribution of phylogenetic endemism for passerine birds in Australia. Underpinning data sourced from the Australian Natural Heritage Assessment Tool (ANHAT), Australian Government Department of the Environment and Energy. For further information on ANHAT see:\r\nhttp://www.environment.gov.au/heritage/publications/australian-natural-heritage-assessment-tool\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure BIO7 (c) (map 2 of 2) in the Biodiversity theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au<br/>
2016 SoE Biodiversity Overall expenditure on biodiversity management by the Australian Government, 2009-10 to 2015-16
No full textBased on Australian Government Department of the Environment & Energy data. For more information, see Portfolio Budget Statements (2009-2016) at: \r\n\r\nhttps://www.environment.gov.au/about-us/accountability-reporting/budget-statements.\r\n\r\nThis data has been used by the Department of Environment and Energy to produce Figure BIO31 in the Biodiversity theme of Australia State of the Environment 2016, available at \r\nhttps://soe.environment.gov.au/theme/biodiversity/topic/2016/management-initiatives-and-investments#biodiversity-figure-BIO31BIO31 Overall expenditure on biodiversity by the Australian Government, 2009–10 to 2015–16 - Source: Australian Government Department of the Environment and Energy\r\n\r\nNote, examples of Caring for our Country initiatives funded by The Treasury include Regional, Tassie Devils and Tassie WHA.<br/>
2016 SoE Biodiversity Number of EPBC critically endangered mammal species in each IBRA region
No full textMap showing the number of mammal species listed as critically endangered under the EPBC Act in each IBRA region across Australia. Data has been sourced from the Species of Environmental Significance database and IBRA version 7 (Australian Government Department of the Environment and Energy). For further information see: http://data.gov.au/dataset/2016-soe-bio-epbc-total-ce\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure BIO20 (map 2 of 2) in the Biodiversity theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au\r\n\r\nThe map service can be viewed at: http://soe.terria.io/#share=s-v1pSFVLEnN4kRBeKTql8uoUR24E\r\n\r\nDownloadable spatial data also available below.\r\nBIO20b Numbers of critically endangered mammal species listed under the EPBC Act 1999 in each IBRA region - Map prepared by the Department of Environment and Energy\r\n\r\nSource: Environmental Resources Information Network, Australian Government Department of the Environment and Energy.\r\n<br/>Number of EPBC critically endangered mammal species in each IBRA region map data (geo-csv) - Number of EPBC critically endangered mammal species in each IBRA region (as of 26 Sept 2016) map data used by the Department of Environment and Energy in order to produce Figure BIO20b in the Biodiversity theme of the 2016 State of the Environment report.<br/>Number of EPBC critically endangered mammal species in each IBRA region map data (geo-csv) - Number of EPBC critically endangered mammal species in each IBRA region (as of 26 Sept 2016) map data used by the Department of Environment and Energy in order to produce Figure BIO20b in the Biodiversity theme of the 2016 State of the Environment report.<br/>BIO20b Number of EPBC critically endangered mammal species in each IBRA region - Downloadable shape and layer files showing the number of mammal species listed as critically endangered under the EPBC Act in each IBRA region across Australia. Data has been sourced from the Species of Environmental Significance database and IBRA version 7 (Australian Government Department of the Environment and Energy). For further information see: http://data.gov.au/dataset/2016-soe-bio-epbc-total-ce\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure BIO20 (map 2 of 2) in the Biodiversity theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au<br/>
2016 SoE Atmosphere Cumulative abatement challenge, emissions trajectory (2013-20) and cumulative emissions (2013-20) since 2008
No full textThis data was sourced from the Department of the Environment. For more information, please see Tracking to 2020-April 2016 update, http://www.environment.gov.au/climate-change/publications/factsheet-tracking-to-2020-april-2016-update. \r\n\r\nData used to produce figure ATM26 of the 2016 SoE; See; https://soe.environment.gov.au/theme/climate/topic/2016/management-outputs-and-outcomes#climate-figure-ATM26\r\n2016 SoE Atmosphere Cumulative abatement challenge, emissions trajectory (2013-20) and cumulative emissions (2013-20) since 2008 - *2013 Projection and 2014-15 Projection are inclusive of carryover and voluntary action\r\n** December 2015 Update and April 2016 Update inclusive of carryover, ERF abatement, waste protocol international units and voluntary action. \r\n<br/>
2016 SoE Antarctic environment Mawson and Macquarie Island stations temperature anomalies, 1948 - 2014
No full textSummer (December to February) average temperature anomaly of daily maximum temperatures (annual average of the monthly mean daily maximum temperature deseasonalised by the summer mean for 1971–2000) smoothed with a 5-year running mean for Mawson (left-hand scale) and Macquarie Island (right-hand scale). Note that the scales have the same range, but are offset by 3 °C for clarity.\r\n\r\nClimate data from Bureau of Meteorology. See http://www.bom.gov.au/climate/data/\r\n\r\nData used by the Department of Environment and Energy to produce graph at Figure ANT4 in the Antarctic environment theme of the 2016 State of the Environment Report, available at \r\n\r\nhttps://soe.environment.gov.au/theme/antarctic-environment/topic/2016/physical-environment-atmosphere-climate-and-weather-patterns#antarctic-environment-figure-4\r\nData - Climate data from Bureau of Meteorology. See http://www.bom.gov.au/climate/data/\r\n\r\nData used by the Department of Environment and Energy to produce graph at Figure ANT4 in the Antarctic environment theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au<br/>
2016 SoE Antarctic environment October monthly average ozone values for Halley station for 1957-2015
No full textOctober monthly average total-column ozone values for Halley station for 1957–2015. \r\n\r\nOzone data from British Antarctic Survey. Further information available from https://legacy.bas.ac.uk/met/jds/ozone/#data\r\n\r\nData used by the Department of Environment and Energy to produce graph at Figure ANT7 in the Antarctic environment theme of the 2016 State of the Environment Report, available at \r\n\r\nhttps://soe.environment.gov.au/theme/antarctic-environment/topic/2016/physical-environment-atmosphere-climate-and-weather-patterns#antarctic-environment-figure-7\r\nSoE 2016 Antarctic October monthly average total-column ozone values for Halley station for 1957–2015 - October monthly average total-column ozone values for Halley station for 1957–2013.\r\n\r\nOzone data from British Antarctic Survey. Further information available from https://legacy.bas.ac.uk/met/jds/ozone/#data\r\n\r\nData used by the Department of Environment and Energy to produce graph at Figure ANT7 in the Antarctic environment theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au<br/>
CLM Groundwater model uncertainty analysis
No full text## **Abstract** \n\nThis dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThe dataset contains an interpolated grid of the probability of exceeding 0.2 m drawdown at the water table in the Clarence Moreton subregion.\n\n## **Purpose** \n\nThese formed the basis of the figures in the CLM 2.6.2 product.\n\n## **Dataset History** \n\nAll the inputs for this data set were obtained from the groundwater model data set. Spreadsheet 'CLM_MF_dmax_tmax_excprob.csv' in the source dataset has the probability of exceeding 0.2mdrawdown in column P(dmax>0.2 m). The values for computation nodes labelled 1 in the column 'layer' are interpolated to a regular grid.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) CLM Groundwater model uncertainty analysis. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/19a52dab-847a-4f6e-8904-68d062047866.\n\n## **Dataset Ancestors** \n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204](https://data.gov.au/data/dataset/fd59894f-06b0-4c6f-9029-488934cfa7ba)\n\n* **Derived From** [Qld 100K mapsheets - Mount Lindsay](https://data.gov.au/data/dataset/3031172f-ec23-4c4d-835f-0772da8829ba)\n\n* **Derived From** [Qld 100K mapsheets - Helidon](https://data.gov.au/data/dataset/b3f4f1b5-a2fd-40fc-b35b-78b100a50dcb)\n\n* **Derived From** [Qld 100K mapsheets - Ipswich](https://data.gov.au/data/dataset/71d610f7-084a-44c6-afa3-f0763396239b)\n\n* **Derived From** [CLM - Woogaroo Subgroup extent](https://data.gov.au/data/dataset/7da67176-77fb-47fd-9bfa-1fae92261cf4)\n\n* **Derived From** [Coal Bore Holes - QLD](https://data.gov.au/data/dataset/e7802c0f-e11b-4f9a-a597-a5f316f40ec3)\n\n* **Derived From** [CLM - Extent of Logan and Albert river alluvial systems](https://data.gov.au/data/dataset/c0047016-9e16-4803-ae21-a671582025f1)\n\n* **Derived From** [CLM - Bore allocations NSW v02](https://data.gov.au/data/dataset/2a7f1f7a-586a-4e1d-8f04-25818ca0d194)\n\n* **Derived From** [CLM - Bore allocations NSW](https://data.gov.au/data/dataset/3bb16039-ceeb-4966-aa28-a7c62b6d69ff)\n\n* **Derived From** [CLM - Bore assignments NSW and QLD summary tables](https://data.gov.au/data/dataset/f92af83d-3db0-4053-b766-4915609db12b)\n\n* **Derived From** [CLM - Geology NSW & Qld combined v02](https://data.gov.au/data/dataset/982bd271-5ce8-48cf-b3cf-c50550509baa)\n\n* **Derived From** [CLM - Orara-Bungawalbin bedrock](https://data.gov.au/data/dataset/c5f52b4d-5a3e-4772-97f9-171b875e32dc)\n\n* **Derived From** [CLM16gwl NSW Office of Water_GW licence extract linked to spatial locations_CLM_v3_13032014](https://data.gov.au/data/dataset/4b0e74ed-2fad-4608-a743-92163e13c30d)\n\n* **Derived From** [CLM groundwater model hydraulic property data](https://data.gov.au/data/dataset/e2444e2a-2c5d-4c07-9685-145d82adf131)\n\n* **Derived From** [CLM16swg Surface water gauging station data within the Clarence Moreton Basin](https://data.gov.au/data/dataset/1e4cdb84-10cf-4772-91fc-820688dc9aef)\n\n* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)\n\n* **Derived From** [CLM - Coal Bore Holes in QLD region of Clarence-Moreton bioregion](https://data.gov.au/data/dataset/3d2b63fc-b5ee-4ade-bdb9-694fa0fd41b1)\n\n* **Derived From** [CLM - Gatton Sandstone extent](https://data.gov.au/data/dataset/ace6073d-9db3-4702-a4bf-78345505d9f5)\n\n* **Derived From** [CLM16gwl NSW Office of Water, GW licence extract linked to spatial locations in CLM v2 28022014](https://data.gov.au/data/dataset/ed68451f-8e24-4fed-988d-0aef12a997ee)\n\n* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)\n\n* **Derived From** [NSW Geological Survey - geological units DRAFT line work.](https://data.gov.au/data/dataset/8fd05241-5f8c-4a02-9c16-9da9bc6b33c8)\n\n* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\n* **Derived From** [CLM Preliminary Assessment Extent Definition & Report( CLM PAE)](https://data.gov.au/data/dataset/2cdd0e81-026e-4a41-87b0-ec003eddc5c1)\n\n* **Derived From** [Qld 100K mapsheets - Caboolture](https://data.gov.au/data/dataset/cee55c9c-29f9-4733-aac9-9b82a2ff739f)\n\n* **Derived From** [CLM - AWRA Calibration Gauges SubCatchments](https://data.gov.au/data/dataset/af6476a5-02e7-4916-8151-504896729ce6)\n\n* **Derived From** [CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901](https://data.gov.au/data/dataset/a4b5b711-57c4-4b02-bd8b-a05d7379f319)\n\n* **Derived From** [Qld 100k mapsheets - Murwillumbah](https://data.gov.au/data/dataset/c9852e4a-1084-4fdb-a538-17b89736205d)\n\n* **Derived From** [AHGFContractedCatchment - V2.1 - Bremer-Warrill](https://data.gov.au/data/dataset/23825b8f-0f58-417b-ad54-1074d4863b03)\n\n* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\n\n* **Derived From** [QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013](https://data.gov.au/data/dataset/5d8c8f5c-7ace-40ce-87ce-0b311b028c10)\n\n* **Derived From** [Pilot points for prediction interpolation of layer 1 in CLM groundwater model](https://data.gov.au/data/dataset/e5d7d69a-629a-467d-87db-dd792808fca4)\n\n* **Derived From** [CLM - Bore water level NSW](https://data.gov.au/data/dataset/d20a15c4-b4ea-45a4-97e3-6ed83373ba97)\n\n* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)\n\n* **Derived From** [CLM - New South Wales Department of Trade and Investment 3D geological model layers](https://data.gov.au/data/dataset/0843bdb7-d8e8-40ac-ae9c-0ac59b37cdf7)\n\n* **Derived From** [CLM - Metgasco 3D geological model formation top grids](https://data.gov.au/data/dataset/41cc99e6-0309-4a74-a1ba-cb0f9a12ff4e)\n\n* **Derived From** [R-scripts for uncertainty analysis v01](https://data.gov.au/data/dataset/322c38ef-272f-4e77-964c-a14259abe9cf)\n\n* **Derived From** [State Transmissivity Estimates for Hydrogeology Cross-Cutting Project](https://data.gov.au/data/dataset/db6643ff-f4ec-4aa3-9f5d-afdce1bce5b1)\n\n* **Derived From** [CLM - Extent of Bremer river and Warrill creek alluvial systems](https://data.gov.au/data/dataset/21239a36-67ea-4535-92e4-6ad4e37e0108)\n\n* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)\n\n* **Derived From** [QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111](https://data.gov.au/data/dataset/827e70b3-29d5-4e89-8d59-a93bc499de60)\n\n* **Derived From** [Qld 100K mapsheets - Esk](https://data.gov.au/data/dataset/9e7334b7-fbb0-4893-bd08-ac296ce9a4fb)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014](https://data.gov.au/data/dataset/b1ba5370-2c60-485f-9620-ddad39498999)\n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n* **Derived From** [CLM - Qld Surface Geology Mapsheets](https://data.gov.au/data/dataset/a040de87-21b1-4097-a273-41471405ab28)\n\n* **Derived From** [NSW Office of Water Pump Test dataset](https://data.gov.au/data/dataset/d8f1062f-97d5-4d78-9ca8-b5719fe3fced)\n\n* **Derived From** [CLM - NSW River Gauge pdf documents.](https://data.gov.au/data/dataset/ffc17844-006c-40e8-adcd-53e75efb530f)\n\n* **Derived From** [NSW Office of Water - National Groundwater Information System 20140701](https://data.gov.au/data/dataset/7ab9820e-1e43-4600-8875-a0834345fb6d)\n\n* **Derived From** [CLM - New South Wales well completion reports](https://data.gov.au/data/dataset/85d50f57-37bb-4af5-ab67-4e8849d0cd98)\n\n* **Derived From** [Data for river stage interpolation in the CLM groundwater model](https://data.gov.au/data/dataset/c486f991-fc71-44c5-974f-85913ce82faf)\n\n* **Derived From** [CLM - Extent of Lockyer Creek alluvial system](https://data.gov.au/data/dataset/98160487-1dfe-41b5-9f8c-dc73795e2094)\n\n* **Derived From** [CLM - DEM in ascii format](https://data.gov.au/data/dataset/4e33c849-20ef-48f0-a522-22ac80d9cc73)\n\n* **Derived From** [CLM - Grafton-Rapville bedrock](https://data.gov.au/data/dataset/1c217d86-ba4e-480b-8786-2ab083c2495f)\n\n* **Derived From** [CLM - Bore water level QLD](https://data.gov.au/data/dataset/20c5f443-bd19-4d2b-9f96-6633244c64e5)\n\n* **Derived From** [QLD Coal Seam Gas well locations - 14/08/2014](https://data.gov.au/data/dataset/88028a0b-7c1e-4b70-8217-abc2c536e6c4)\n\n* **Derived From** [CLM - Orara-Kangaroo bedrock](https://data.gov.au/data/dataset/9daa153e-dbcf-4a7d-9fe6-790ebd7bca94)\n\n* **Derived From** [Qld 100k mapsheets - Warwick](https://data.gov.au/data/dataset/3e2fa307-1f06-4873-96d3-5c3e5638894a)\n\n* **Derived From** [CLM - Walloon Coal Measures spatial extent](https://data.gov.au/data/dataset/a6f029c1-b57a-496a-b6ad-2f017cc89702)\n\n* **Derived From** [Geofabric Surface Catchments - V2.1](https://data.gov.au/data/dataset/ea1b6f6c-e8a3-4c78-a463-044c89857fc0)\n\n* **Derived From** [CLM - Stratigraphic wells in the QLD area of the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/76975f35-715f-42e3-97c2-44f5c8de88a6)\n\n* **Derived From** [CLM - Koukandowie FM bedrock](https://data.gov.au/data/dataset/87ee5e91-fbd6-4bcd-8344-c52df1f4f226)\n\n* **Derived From** [CLM - Queensland well completion reports](https://data.gov.au/data/dataset/e66a0708-2d10-4f21-bbe1-c986f5e0d4e7)\n\n* **Derived From** [National Groundwater Information System (NGIS) v1.1](https://data.gov.au/data/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7)\n\n* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)\n\n* **Derived From** [Qld 100k mapsheets - Kingaroy](https://data.gov.au/data/dataset/01f58f60-9688-4b62-9de9-7e58aa0eeeb6)\n\n* **Derived From** [CLM - Stratigraphic wells data from IRTM in the QLD area of the Clarence-Morton bioregion](https://data.gov.au/data/dataset/0de9e452-240b-439d-82b9-25dc85eb5b15)\n\n* **Derived From** [CLM - Basalt extent](https://data.gov.au/data/dataset/d01c0a51-9102-471c-b2bd-d5f413731bd9)\n\n* **Derived From** [CLM groundwater model V1](https://data.gov.au/data/dataset/2acf0342-956e-430f-9142-cf64d2b9d118)\n\n* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)\n\n* **Derived From** [CLM AWRA model](https://data.gov.au/data/dataset/abfefbbf-4cc3-4b05-a4ea-1a79e916e72b)\n\n* **Derived From** [CLM - Interpolated piezometric surfaces for Alluvium](https://data.gov.au/data/dataset/da04bc6a-b2ad-427f-a434-643ad6006ea0)\n\n* **Derived From** [CLM bioregion 3D geological model](https://data.gov.au/data/dataset/ec308925-99ae-4bbf-9005-08097d8342e5)\n\n* **Derived From** [CLM Groundwater Model Boundary](https://data.gov.au/data/dataset/dd691d5c-48a2-42fd-9902-4770c871b50f)\n\n* **Derived From** [Clarence-Moreton SEEBASE & Structural GIS Project data.](https://data.gov.au/data/dataset/b1690f8b-4025-45d2-96a0-6feb03ff3e52)\n\n* **Derived From** [CLM - Interpolated surfaces of Alluvium depth](https://data.gov.au/data/dataset/7867c5af-e2a0-43f7-ae09-30fb4d9a656a)\n\n* **Derived From** [Qld 100k mapsheets - Beenleigh](https://data.gov.au/data/dataset/f2eb7c75-52c5-4738-b7b7-76ec31b7f7ee)\n\n* **Derived From** [QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808](https://data.gov.au/data/dataset/a5c5cbdb-1152-43f7-9533-a123027b7ce1)\n\n* **Derived From** [Qld 100K mapsheets - Inglewood](https://data.gov.au/data/dataset/32869100-6b73-44a4-bcef-c58e380d0b7d)\n\n* **Derived From** [Qld 100K mapsheets - Oakey](https://data.gov.au/data/dataset/9b5ef250-c085-4365-b9c0-bb34e0b56150)\n\n* **Derived From** [Qld 100K mapsheets - Toowoomba](https://data.gov.au/data/dataset/5b8bf9c4-d127-45c5-9fef-a71013331d86)\n\n* **Derived From** [CLM - Main Range volcanics](https://data.gov.au/data/dataset/b6f08090-aed0-4a6a-9a61-cdd2333138ed)\n\n* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)\n\n* **Derived From** [CLM - Bore assignments NSW](https://data.gov.au/data/dataset/e035500e-868e-44bb-8993-7c67048773a9)\n\n* **Derived From** [CLM - Hydraulic conductivity NSW](https://data.gov.au/data/dataset/cecfa372-52ca-49f8-b61c-6506279eafb5)\n\n* **Derived From** [CLM MODFLOW Uncertainty Analysis](https://data.gov.au/data/dataset/25e01e3c-7b87-4200-9ef2-5c5405627130)\n\n* **Derived From** [CLM - Grafton-Piora bedrock](https://data.gov.au/data/dataset/59addbea-b8a5-4409-9c36-da260efe81f1)\n\n* **Derived From** [Victorian Groundwater Management System Dec 2012 (superseded)](https://data.gov.au/data/dataset/0e144947-4b0c-4c31-b605-9ecabdf2730b)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014](https://data.gov.au/data/dataset/68bbd3fb-6e2a-4088-a3dd-55cc44c2f0d6)\n\n* **Derived From** [CLM - Extent of Richmond river alluvial system May 6th 2014](https://data.gov.au/data/dataset/75029853-ab90-42c8-a6de-85ecf1671dda)\n\n* **Derived From** [CLM - Lamington volcanics](https://data.gov.au/data/dataset/00358558-b7fc-4165-a4e3-fd1ec26ed51a)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [CLM - Richmond catchment boundary](https://data.gov.au/data/dataset/a69bfc76-60b0-4256-8156-4ed7bba39bad)\n\n* **Derived From** [CLM - Streamflow unified NSW](https://data.gov.au/data/dataset/1e848ee6-4f79-469d-90c9-34596828b364)\n\n* **Derived From** [CLM - Extent of Richmond river alluvial system February 3rd 2015](https://data.gov.au/data/dataset/e8a94d1e-d0c4-4c66-87ec-59bc83ea5d82)\n\n* **Derived From** [CLM - Bore assignments QLD](https://data.gov.au/data/dataset/f8937dd8-b3a0-490e-a452-9dc56fe03914)\n\n* **Derived From** [Qld 100K mapsheets - Allora](https://data.gov.au/data/dataset/46a276a3-fa56-4b1c-8aa4-0af90d28756b)\n\n* **Derived From** [Qld 100K mapsheets - Jandowae](https://data.gov.au/data/dataset/0e11158d-8dbb-453b-9bf0-f79fa3fa1d89)\n\n* **Derived From** [CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/a1f5c7b3-ea1f-4ef0-9d05-f54e81f4c7b6)\n\n* **Derived From** [CLM - Extent of Clarence River alluvial systems](https://data.gov.au/data/dataset/46ec2295-19f2-48b7-bdbb-9347e6301c02)\n\n* **Derived From** [Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013](https://data.gov.au/data/dataset/08b34518-c947-4665-82e5-c144b5b24e01)\n\n* **Derived From** [Formation tops exploration wells](https://data.gov.au/data/dataset/414c8231-9471-4620-b2ea-f57e2114d1bb)\n\n* **Derived From** [CLM16gwl NSW Office of Water Groundwater Licence Extract Clarence Moreton- Oct 2013](https://data.gov.au/data/dataset/d9bd77b6-5bc3-4832-a212-0e8f5ba48076)\n\n* **Derived From** [QLD Petroleum Leases, 28/11/2013](https://data.gov.au/data/dataset/aac9dbce-f98b-4b95-9a04-d5a5f405d409)\n\n* **Derived From** [CLM - Coal seam gas and petroleum wells](https://data.gov.au/data/dataset/598c923e-7eba-47ab-a1de-637dbe0d08fd)\n\n* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)\n\n* **Derived From** [Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)](https://data.gov.au/data/dataset/9a9284b6-eb45-4a13-97d0-91bf25f1187b)\n\
Geology 100K NSW selected mapsheets for Sydney Bioregion
No full text## **Abstract** \n\nThis dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.\n\n\n\nNSW 1:100K Geology downloaded from http://www.resources.nsw.gov.au/geological/geological-maps/. \n\nSelected mapsheets relevant to the BA_SYD Gloucester subregion and surrounds.Namely, Bulahdelah, Camberwell and Dungog.\n\n\n\nAlso, selected features (fault lines and Alluvial) taken from mapsheet data and merged into seamless extents.\n\n\n\nMainly used for illustrative purposes (maps) with faults lines and other extracted features potentially useful for modelling purposes.\n\n\n\nMap name:\tBulahdelah, Camberwell, Dungog 1:100 000 Geological Map\n\nMap Sheet Code:\t9333,9133, 9233\n\n\n\nScale:\t1:100 000\n\nYear published:\t1991\n\nEdition:\tFirst edition\n\n\n\nThis dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Department of Industry. http://www.industry.nsw.gov.au/\n\n## **Purpose** \n\nFor Report map image display.\n\n## **Dataset History** \n\nData is as sourced from http://www.resources.nsw.gov.au/geological/geological-maps. Fault line and alluvial features from respective mapsheet folders (Bulhdelah, Camberwell and Dungog) have been merged into single layers.\n\n## **Dataset Citation** \n\nNSW Trade and Investment (2013) Geology 100K NSW selected mapsheets for Sydney Bioregion. Bioregional Assessment Source Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/19a28cab-2acb-4c9d-b265-1535158508f2
Non Rated Species Birds - ARC
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\nShows the locations of non-rated species that have not been rated but have been recorded and maybe significant to it's relevant biotic group.\n\n## **Purpose** \n\nTo indicate the distribution and effort for survey sites across the subregion.\n\n## **Dataset History** \n\nDataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Arckaringa subregion. The locational information for biological survey sites is collected in a number of formats, with older surveys in the pastoral region being read from maps at various scales (may be up to 1:250,000) and newer surveys using GPS.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Non Rated Species Birds - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/18c41225-c2c5-40d4-bd1d-cbc791e7cd66
Namoi standard Hydrological Response Variables (HRVs)
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple datasets. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nHydrological Response Variables (HRVs) are the hydrological characteristics of the system that potentially change due to coal resource development. These data refer to the HRVs related to the AWRA-R model for the Namoi subregion for the 54 simulation nodes. The nine hydrological response variables (AF, P99, FD, IQR, ZFD, P01, LFD, LFS, LLFS) were computed under CRDP and Baseline conditions, respectively and the ACRD is the difference between the Baseline and CRDP.\n\n\n\n\n\nAbbreviation meaning\n\nAF - the annual streamflow volume (GL/year)\n\nP01 - the daily streamflow rate at the first percentile (ML/day)\n\nP01 - the daily streamflow rate at the first percentile (ML/day)\n\nIQR - the inter-quartile range in daily streamflow (ML/day). That is, the difference between the daily streamflow rate at the 75th percentile and at the 25th percentile.\n\nLFD - the number of low streamflow days per year. The threshold for low streamflow days is the 10th percentile from the simulated 90-year period (2013 to 2102)\n\nLFS - the number of low streamflow spells per year (perennial streams only). A spell is defined as a period of contiguous days of streamflow below the 10th percentile threshold\n\nLLFS - the length (days) of the longest low streamflow spell each year\n\nP99 - the daily streamflow rate at the 99th percentile (ML/day)\n\nFD - flood days, the number of days with streamflow greater than the 90th percentile from the simulated 90-year period (2013 to 2102)\n\nZFD - Zero flow days\n\n## **Purpose** \n\nThis is the dataset used for the Namoi 2.6.1 product to evaluate additional coal mine and coal resource development impacts on hydrological response variables at 54 simulation nodes.\n\n## **Dataset History** \n\nThe Namoi AWRA-R model outputs were used to determine the impacts on the HRVs to produce these data. Readme files within the folders in the dataset provide an explanation on how the resource was created. The nine HRVs (AF, P99, FD, IQR, ZFD, P01, LFD, LFS, LLFS) were computed under CRDP and Baseline conditions, respectively. The difference between CRDP and Baseline is used for predicting ACRD impacts on hydrological response variables at 54 simulation nodes.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2017) Namoi standard Hydrological Response Variables (HRVs). Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/189f4c7a-29e1-41f9-868d-b7f5184d829f.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Historical Mining Footprints DTIRIS NAM 20150914](https://data.gov.au/data/dataset/fb0a43f1-9022-4844-b5b5-b91f72a1d9f9)\n\n* **Derived From** [Namoi AWRA-R (restricted input data implementation)](https://data.gov.au/data/dataset/04fc0b56-ba1d-4981-aaf2-ca6c8eaae609)\n\n* **Derived From** [River Styles Spatial Layer for New South Wales](https://data.gov.au/data/dataset/06fb694b-d2f1-4338-ab65-a707c02f11d7)\n\n* **Derived From** [Namoi Surface Water Mine Footprints - digitised](https://data.gov.au/data/dataset/fa0a0d09-3780-498a-a412-242b25130291)\n\n* **Derived From** [Namoi AWRA-R model implementation (post groundwater input)](https://data.gov.au/data/dataset/8681bd56-1806-40a8-892e-4da13cda86b8)\n\n* **Derived From** [National Surface Water sites Hydstra](https://data.gov.au/data/dataset/f7edc5e5-93ee-4527-bed5-a118b4017623)\n\n* **Derived From** [Namoi AWRA-L model](https://data.gov.au/data/dataset/0d58109a-f3b3-4f3a-9bc0-f8d8398d4da8)\n\n* **Derived From** [Namoi Hydstra surface water time series v1 extracted 140814](https://data.gov.au/data/dataset/10fc9dd2-fc95-4357-86f1-c59e69678c5c)\n\n* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)\n\n* **Derived From** [Namoi Environmental Impact Statements - Mine footprints](https://data.gov.au/data/dataset/493a47cd-4228-4dec-bb72-bcf4495fa306)\n\n* **Derived From** [Namoi Existing Mine Development Surface Water Footprints](https://data.gov.au/data/dataset/d4875816-4184-4579-8194-8aff6efe7d9a)\n\