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Density of Conservation Rated Species Birds - PED
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\nEach grid cell indicates the density of significant species surveyed within and can include multiple records of the same or different species, at the same or a nearby location, or on one or more occasion.\n\n## **Purpose** \n\nTo indicate the density of significant species surveyed within each grid cell.\n\n## **Dataset History** \n\nDataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka subregion.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Density of Conservation Rated Species Birds - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/a5dfa0e4-238d-4469-b79b-5bd2fa791e17.Density of Conservation Rated Species Birds - PED - Data File<br/>
Pedirka Basin Petroleum Wells - PED
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\nContains information on petroleum' gas and coal exploration wells within the Northern Territory and its administered waters. The data is captured by entering "notice of intent data", reviewing company reports and/or field work.\n\n## **Purpose** \n\nTo indicate the locations of petroleum wells in Northern Territory and for administration purposes.\n\n## **Dataset History** \n\nDerived through the Northern Territory Government, Department of Mines and Energy www.ntlis.nt.gov.au., as follows; Data originally captured as hardcopy. Transferred to Unify database in 1986. Transferred to Access97 database in 1999. Data captured from daily drilling reports, open file comapny reports, geoogical publications, company Annual & Quarterly Reports and in newsprint and over the Internet. The data and stored in an Access97 database: Well/Seismic Survey name. location (SITE), Operator, start and end dates, contractor, total depths/line kms etc. (http://www.nt.gov.au/d/Minerals_Energy/Geoscience) and the South Australian Resource Information Geoserver (SARIG)), (http://www.minerals.statedevelopment.sa.gov.au/online_tools/free_data_delivery_and_publication_downloads/sarig)\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Pedirka Basin Petroleum Wells - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/ae490e40-c5e6-456b-b95b-08848390ff77.Pedirka Basin Petroleum Wells - PED - Data File<br/>
Depth to water - simulated 1970 steady state raster
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\n\n\nThe simulated 1970 unconfined depth to watertable across the entire model domain. This represents a pre-development water table surface. \n\n\n\nChoosing a year that best represents the climatic circumstances for the simulation objectives is an essential part of the steady-state assessment. This decision was influenced by the availability of appropriate calibration data. This approach generally allows for the selection of a year that was outside the bounds of a longer term shift in annual rainfall distribution. The selected steady-state condition was based on 1970 rainfall and assumed no groundwater extractions. This initial state was selected to represent predevelopment conditions as post-1970 historic groundwater pumping in the region (on and offshore) have not achieved a quasi-equilibrium response as based on available groundwater hydrograph trends. \n\nThe transient simulation period was 1970 to 2012. This period captures both pre-mine development and a range of varying climatic conditions, including above average wet and dry sequences. The 1970 starting date enables the incorporation of historic groundwater extraction data into the model and provides sufficient lead time for the groundwater model to minimise the impact of initial conditions on model predictions associated with the period of interest, namely the calibration/validation period of 2000 to 2012. \n\n\n\nCopied from the Gippsland Groundwater Model report, 2015.\n\n## **Purpose** \n\nThe steady-state calibration model represents the 1970 Latrobe Valley pre-development conditions. On the basis that steady-state predictions reflect long-term equilibrium conditions assuming constant groundwater inputs and stresses throughout time, no groundwater extractions were assigned during the steady-state simulation.\n\n## **Dataset History** \n\n"The simulated 1970 unconfined potentiometric surface (watertable) and depth-to-watertable across the entire model domain is shown in Figure 114 and Figure 115 respectively. (ED. see figures in the Gippsland Groundwater model report)\n\nVisual comparison of the Victorian SAFE depth to watertable map (Figure 116) with the steady-state simulated depth to watertable shows the watertable surface is reasonable within the alluvial systems, however in some upland locations the watertable appears in greater connection with surface features than presented in the Victorian Aquifer Framework (VAF) data. This is not considered a significant issue as these areas are well beyond the zone of interest.\n\nIt must be noted that the VAF depth to watertable map was derived using a combination of terrain analysis and interpolated bore data, and in part on proximity to streams within the exposed basement areas. Additionally, the VAF reflects the 1990 conditions whereas the simulated steady-state depth to watertable represents pre-development conditions. As such, it is expected that that the simulated steady-state depth to watertable map would have a greater area of shallow watertable than reported in the VAF spatial layer."\n\n\n\nThis text copied from the Gippsland Groundwater Model report 2015.\n\n## **Dataset Citation** \n\nVictorian Department of Economic Development, Jobs, Transport and Resources (2015) Depth to water - simulated 1970 steady state raster. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/4f343452-3dae-4184-b5f5-5690a17a82f6.Depth to water - simulated 1970 steady state raster - Data File<br/>
Modelled layer thickness for Gippsland
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 has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition.\n\n\n\nRasters representing the thickness for the model layers used in the groundwater model. This is a geodatabase of ESRI rasters representing the calibrated surfaces of the 30 identified layers within the Gippsland groundwater model. The layers have a cell size of 400m. \n\n\n\nPlease see associated report or contact the principal investigator for further information. Further information may be found in the Gippsland Groundwater Model report (Beverly et al, 2015 )\n\n## **Purpose** \n\nThis is a geodatabase of ESRI rasters representing the calibrated surfaces of the 30 identified layers within the Gippsland groundwater model. The layers have a cell size of 400m. Please see associated report or contact the principal investigator for further information. The purpose of the data layer is to show the thickness variation for the layer.\n\n## **Dataset History** \n\nThe layer elevation was sourced directly from the Victorian Aquifer Framework model and incorporated into the Gippsland Groundwater Model\n\n\n\nPlease contact the principal investigator. Further information may be found in the Gippsland Groundwater Model report (Beverly etal, 2015 )\n\n## **Dataset Citation** \n\nVictorian Department of Economic Development, Jobs, Transport and Resources (2015) Modelled layer thickness for Gippsland. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/0d03ff0d-e73f-499d-840b-e0050b36f84f.Modelled layer thickness for Gippsland - Data File<br/>
Gippsland flood extent for significant event 199004
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from the Victorian Flood database. The parent dataset(s) 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\nThis dataset comprises a subset of the full Victorian Flood database separated on the specific year and month of the event in the Gippsland region. This package of data contains flood extent of the flood in April 1990 (199004). It may include both modelled and observed data.\n\n## **Purpose** \n\nVictoria Flood Database is a collection of observed and modelled flood information. It is used for risk assessment, strategic planning and emergency response. The Extent_100y_ARI and Floodway layers are used to develop flood-specific zones and overlays in the Municipal Planning Schemes. This collective data forms the basis for web-based interactive flood response mapping tool known as FLOODMAP.\n\n## **Dataset History** \n\nData has initially been drawn from authoritative sources through the digitisation project in 1998/1999 known as the Flood Data Transfer Project. Detail is primarily aligned to varying versions of Vicmap and other assorted data. Recent flood studies are largely based on high resolution DEMs, while some rural areas were mapped from oblique photography and 'best estimate' principles by floodplain managers. Positional accuracy of all content, although accepted as meeting a reasonable level of alignment, cannot therefore be accurately stated. An reliability and modified date attribute is given for every feature in the VFD. Users must therefore read the reliability attribute of any given feature in order to determine whether it is fit for purpose.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Gippsland flood extent for significant event 199004. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/e756bdf6-8e0f-4051-ad15-7d333adb52c2.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Victoria - 1 in 100 Year Flood Extent](https://data.gov.au/data/dataset/6e59ed35-3fde-48e3-8135-eb05263ce4aa)\n\nGippsland flood extent for significant event 199004 - Data File<br/>
GLO MFdmax v01
No full text## **Abstract** \n\nThe 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\nThis dataset uses the results of the design of experiment runs of the alluvial MODFLOW groundwater models for the Avon and Karuah alluvial systems of the Gloucester to train emulators to (a) constrain the prior parameter ensembles into the posterior parameter ensembles and to (b) generate the predictive posterior ensembles of maximum drawdown and time to maximum drawdown. This is described in product 2.6.2 Groundwater numerical modelling (Peeters et al. 2016).\n\n\n\nPeeters L, Dawes W, Rachakonda P, Pagendam D, Singh R, Pickett T, Frery E, Marvanek S, and McVicar T (2016) Groundwater numerical modelling for the Gloucester subregion. Product 2.6.2 for the Gloucester subregion from the Northern Sydney Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/NSB/GLO/2.6.2.\n\n## **Dataset History** \n\nThis dataset contains all the scripts to carry out the uncertainty analysis for the maximum drawdown and time to maximum drawdown at the groundwater receptors associated with the Avon and Karuah alluvia and all the resulting posterior predictions. This is described in product 2.6.2 Groundwater numerical modelling (Peeters et al. 2016).\n\n\n\nThe file 'GLO_MF_dmax_UA_workflow.pptx' shows a diagram of the workflow of the uncertainty analysis for the Avon model. The workflow for the Karuah uncertainty analysis is identical. Avon specific files have '_g_' in the filename. Karuah specific files have '_k_' in the filename.\n\n\n\nThe post-processed results from the numerical modelling (dataset GLO MF Model v02) are summarised in files 'GLO_MF_karuah_budget_m3d.csv', 'GLO_MF_gloc_budget_m3d.csv', 'GLO_MF_dmax_g_DoE_Predictions.csv' and ''GLO_MF_dmax_g_DoE_Predictions.csv' . \n\n\n\nPython script 'GLO_MF_dmax_Predictions.py' creates input files for the uncertainty analysis:\n\n- 'GLO_MF_dmax_g_Predictions.csv': summary of the maximum drawdown (dmax) predictions at the receptors - Name, Transform, Emulate, Min, Max, Median\n\n- 'GLO_MF_tmax_g_Predictions.csv': summary of the time to maximum drawdown (tmax) predictions at the receptors - Name, Transform, Emulate, Min, Max, Median\n\n- 'GLO_MF_sumstat.csv': summary of the summary statistics to constrain the models - Name, Transform, Emulate, Min, Max, Median\n\n- 'GLO_AEM_dmax_DoE_Predictions.csv': simulated maximum drawdown values at receptor locations corresponding to the parameter combinations in 'GLO_DoE_Parameters.csv'\n\n- 'GLO_AEM_tmax_DoE_Predictions.csv': simulated time to maximum drawdown values at receptor locations corresponding to the parameter combinations in 'GLO_DoE_Parameters.csv'\n\n- 'GLO_sumstat_DoE.csv': summary statistics to constrain the models corresponding to the parameter combinations in 'GLO_DoE_Parameters.csv'\n\n\n\nFile 'GLO_DoE_Parameters.csv' contains the 10.000 parameter combinations used in the design of experiment, generated with the maximin latin hypercube sampling.\n\n\n\nFile 'GLO_MF_dmax_Parameters.csv' contains information on the parameters of the Avon and Karuah MODFLOW model that are varied in the uncertainty analysis. This is the name, transform, minimum, maximum, description, the type of prior distribution, the first and second moments of the prior distribution and the covariance. These values are specified by the modelling team and described in section 2.6.2.6 in Peeters et al. (2016).\n\n\n\nThe script 'GLO_MF_SensitivityAnalysis.py' calculates the Plischke et al (2013) sensitivity index for all HRV-receptor-parameter combination, which are stored in files 'GLO_MF_dmax_SI.csv', 'GLO_MF_tmax_SI.csv' and 'GLO_MF_sumstat_SI.csv'.\n\n\n\nFor each prediction of tmax and dmax an emulator is created with R-scripts 'GLO_MF_dmax_g_Emulate_pred_i.R' and 'GLO_MF_dmax_g_Emulate_pred_i.R'. The script uses the R-scripts in dataset 'R-scripts for uncertainty analysis v01' and stores an R data object with extension .Rdata in subdirectory 'emulators/predictionname'.\n\n\n\nThe R script 'GLO_MF_dmax_CreatePosteriorParameters.R' performs the Approximate Bayesian Computation Markov Chain Monte Carlo to constrain the prior parameter distributions with an acceptance criterion based on the historical water balance of the alluvial system. This model result is summarised in file 'GLO_sumstat.csv' and all results of the design of experiment are stored in 'GLO_sumstat_DoE.csv'. The script results in an emulator object (file '\\emulator\\glo_sumstat\\glo_sumstat.RData') and a spreadsheet with 10.000 posterior parameter combinations (file 'GLO_MF_dmax_g_Posterior_Parameters.csv'). The first 200 of these parameter combinations are used to generate the output for interpolation of exceedance probabilities in dataset GLO MF Model v02.\n\n\n\nThe R scripts 'GLO_MF_tmax_g_MCsampler_pred_i.R' and 'GLO_MF_dmax_g_MCsampler_pred_i.R' use the emulators for each prediction to sample the posterior parameters to create the posterior predictive ensembles, which are stored for each prediction separately in '\\emulators\\predname_prediction.csv'\n\n\n\nPost-processing scripts 'GLO_MF_dmax_Postprocess_Predictions.py' and 'GLO_MF_tmax_Postprocess_Predictions.py' combine these individual files into two posterior prediction files: 'GLO_MF_dmax_Posterior_Predictions.csv' and 'GLO_MF_tmax_Posterior_Predictions.csv'. These have the combined predictions at the receptor locations of both the Karuah and Avon alluvial MODFLOW models.\n\n\n\nThese files are further summarised in exceedance probabilities with script 'GLO_MF_probabilities.py', which outputs files 'GLO_MF_dmax_ExceedanceProbabilities.csv' and 'GLO_MF_tmax_ExceedanceProbabilities.csv'\n\n\n\nReferences\n\n\n\nPeeters L, Dawes W, Rachakonda P, Pagendam D, Singh R, Pickett T, Frery E, Marvanek S, and McVicar T (2016) Groundwater numerical modelling for the Gloucester subregion. Product 2.6.2 for the Gloucester subregion from the Northern Sydney Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia. http://data.bioregionalassessments.gov.au/product/NSB/GLO/2.6.2.\n\n\n\nPlischke E, Borgonovo E, and Smith CL (2013) Global sensitivity measures from given data European Journal of Operational Research 226, 536-550\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (XXXX) GLO MFdmax v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/df0ff3b6-b131-4cf7-9d86-33d1de01634d.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW)](https://data.gov.au/data/dataset/fd1ff106-2f48-4bda-bfd1-a7206747c483)\n\n* **Derived From** [NSW Office of Water GW licence extract linked to spatial locations - GLO v5 UID elements 27032014](https://data.gov.au/data/dataset/0115c2ba-73c6-4c98-b539-9f67594980cf)\n\n* **Derived From** [Groundwater Economic Assets GLO 20150326](https://data.gov.au/data/dataset/2e314212-0677-40b8-86ff-c5166c6906bd)\n\n* **Derived From** [Gloucester digitised coal mine boundaries](https://data.gov.au/data/dataset/be85b60f-49dd-485c-bb85-11d45de9792d)\n\n* **Derived From** [Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014](https://data.gov.au/data/dataset/1bdc6089-c114-4485-b962-35a8b3d2357f)\n\n* **Derived From** [Geology 100K NSW selected mapsheets for Sydney Bioregion](https://data.gov.au/data/dataset/19a28cab-2acb-4c9d-b265-1535158508f2)\n\n* **Derived From** [GLO Geological Model Extracted Horizons Final Grid XYZ V01](https://data.gov.au/data/dataset/18402b28-677e-45af-9860-067c258eea33)\n\n* **Derived From** [NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014](https://data.gov.au/data/dataset/98341388-5705-4c42-9f7a-186e16647614)\n\n* **Derived From** [Communities of National Environmental Significance Database - RESTRICTED - Metadata only](https://data.gov.au/data/dataset/c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)\n\n* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas](https://data.gov.au/data/dataset/e358e0c8-7b83-4179-b321-3b4b70df857d)\n\n* **Derived From** [Asset database for the Gloucester subregion on 12 September 2014](https://data.gov.au/data/dataset/d0c21c5c-1b30-4aae-933a-71145b935cc6)\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** [BA SYD GLO - AGL Avon Wards River alluvium extent v1](https://data.gov.au/data/dataset/4484f125-8401-4324-a8a4-42fd1828e485)\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** [Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved](https://data.gov.au/data/dataset/5afdddd5-f5b5-42d1-8ca6-8db19ecf1fd3)\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** [New South Wales 2 kilometers Residential Exclusions Zone](https://data.gov.au/data/dataset/8e9b4d01-bba2-4741-9ffd-aed0484eb14a)\n\n* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)\n\n* **Derived From** [BA SYD selected GA TOPO 250K data plus added map features](https://data.gov.au/data/dataset/ba5feac2-b35a-4611-82da-5b6213777069)\n\n* **Derived From** [Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320](https://data.gov.au/data/dataset/bf435e81-60d4-40c7-ac00-76585fc1fe77)\n\n* **Derived From** [Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted](https://data.gov.au/data/dataset/47312aee-722e-4c6e-bef8-9e439480503e)\n\n* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)](https://data.gov.au/data/dataset/6dbaee0d-8813-46b1-9c13-1b796e7ed3bf)\n\n* **Derived From** [EIS Gloucester Coal 2010](https://data.gov.au/data/dataset/04c22c59-2f7c-4ba6-a192-7bfb89f6b98d)\n\n* **Derived From** [Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)](https://data.gov.au/data/dataset/7276dd93-cc8c-4c01-8df0-cef743c72112)\n\n* **Derived From** [Geological Maps Combined for NSW](https://data.gov.au/data/dataset/f507bb28-8095-43f8-901e-565699a290b5)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [Asset database for the Gloucester subregion on 28 May 2015](https://data.gov.au/data/dataset/5815842e-d271-4f73-9d1a-d15c90571330)\n\n* **Derived From** [Gloucester Deep Wells Completion Reports - Geology](https://data.gov.au/data/dataset/0529ae9a-4d40-460d-b52a-fb0e5f646746)\n\n* **Derived From** [NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014](https://data.gov.au/data/dataset/587c6834-09aa-4cd8-8972-5632880f5ae5)\n\n* **Derived From** [EIS for Rocky Hill Coal Project 2013](https://data.gov.au/data/dataset/ebc1abb5-8b0e-43fa-95e3-2c49dd3343d7)\n\n* **Derived From** [GLO AEM dmax v01](https://data.gov.au/data/dataset/c54640db-ca88-4ed2-8e58-6b1a198293c5)\n\n* **Derived From** [National Heritage List Spatial Database (NHL) (v2.1)](https://data.gov.au/data/dataset/26daa8d7-a90e-47f3-982b-0df362414e65)\n\n* **Derived From** [Asset database for the Gloucester subregion on 8 April 2015](https://data.gov.au/data/dataset/d559e708-089a-46bc-bad2-dc5068993574)\n\n* **Derived From** [Gloucester - Additional assets from local councils](https://data.gov.au/data/dataset/47e9540a-dd75-4e04-bddb-574de1b89ecb)\n\n* **Derived From** [NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions](https://data.gov.au/data/dataset/24157c41-c42f-4e1f-a791-a1ad18c8215d)\n\n* **Derived From** [GLO RMS Model Depth Structure Eroded v01](https://data.gov.au/data/dataset/d2d676b1-26e5-4b5f-bcf3-60ae7fe41cec)\n\n* **Derived From** [Asset database for the Gloucester subregion on 29 August 2014](https://data.gov.au/data/dataset/7000a82c-85f2-461a-ba35-9d7d1ba6d339)\n\n* **Derived From** [New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports](https://data.gov.au/data/dataset/a2a929ea-2cb3-42ab-86b9-87deac68acae)\n\n* **Derived From** [Groundwater Modelling Report for Stratford Coal Mine](https://data.gov.au/data/dataset/4a9d9e6c-8d12-4d9c-837f-5c63fa03472a)\n\n* **Derived From** [AGL Gloucester Gas Project AECOM report location map features](https://data.gov.au/data/dataset/7fca4f35-6e4e-4d37-bbae-1c1029a93a40)\n\n* **Derived From** [Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)](https://data.gov.au/data/dataset/6636846e-e330-4110-afbb-7b89491fe567)\n\n* **Derived From** [NSW Office of Water Groundwater Licence Extract Gloucester - Oct 2013](https://data.gov.au/data/dataset/56a49393-abaa-43f2-8b7d-97c5d414c1cf)\n\n* **Derived From** [New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases](https://data.gov.au/data/dataset/330532aa-66ba-44f5-984b-8a21a99661a0)\n\n* **Derived From** [GLO Deep Well Locations and Depths of Formations V01](https://data.gov.au/data/dataset/e549473c-5b78-4279-8eeb-af86ca6522b3)\n\n* **Derived From** [GLO MF Model v02](https://data.gov.au/data/dataset/9d732408-003e-4901-86a7-cea95b585640)\n\n* **Derived From** [Freshwater Fish Biodiversity Hotspots](https://data.gov.au/data/dataset/6093bd55-a978-4fcc-a8fa-6881fa015329)\n\n* **Derived From** [NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014](https://data.gov.au/data/dataset/38c9e2c9-02ac-45a8-a188-936f91a58391)\n\n* **Derived From** [GLO AEM Model v02](https://data.gov.au/data/dataset/e76e05a1-3d3c-4014-a163-66a342278ea2)\n\n* **Derived From** [Australia - Species of National Environmental Significance Database](https://data.gov.au/data/dataset/4eff885b-0d68-45e8-b4b1-e3e5448354eb)\n\n* **Derived From** [GLO DEM 1sec SRTM MGA56](https://data.gov.au/data/dataset/ca38ed31-e15d-4bb5-a7ef-0aeba3dad3f4)\n\n* **Derived From** [Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal](https://data.gov.au/data/dataset/878f6780-be97-469b-8517-54bd12a407d0)\n\n* **Derived From** [Avon Wards River alluvium v03](https://data.gov.au/data/dataset/72858ae2-da7f-4a97-8481-62aab1e3c184)\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** [GLO Receptors 20150828](https://data.gov.au/data/dataset/acdd94a6-5201-4026-8177-035f25077587)\n\n* **Derived From** [Report for Director Generals Requirement Rocky Hill Project 2012](https://data.gov.au/data/dataset/d8837d3d-91bb-4496-814e-e707cf65fbb2)\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\n* **Derived From** [Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)](https://data.gov.au/data/dataset/7b649c6d-fdbf-40e3-b002-db521665af53)\n\nGLO MFdmax v01 - Data File<br/>
Gloucester - Additional assets from local councils
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from data from a number of sources. 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\nDuring the community consultation phase of the development of the asset database for the Gloucester subregion, representatives of the local councils (Port Stephens Council, Great lakes Shire Council and Gloucester Shire Council) identified a number of potential sites for consideration as assets under the Bioregional Assessments Programme, but were unable to supply spatial data for some of the assets that had been requested to be considered.\n\n\n\nThe dataset contains spatial representations of assets identified during community consultation phases, namely:\n\n - Platypus (Asset database sourceCode: WAIT_ALA_ERIN)\n\n - Oyster spat farm (courceCode: WAIT_ERIN)\n\n - Allworth pool - a single polygon digitised from imagery based on a description from Great Lakes Council (sourceCode: Great Lakes Council) \n\n - Sites of local significance (sourceCode: WAIT_Gloucester Shire Council) were sourced from the LEP spatial dataset (linked dataset "Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW)", GUID fd1ff106-2f48-4bda-bfd1-a7206747c483).\n\n## **Purpose** \n\nTo identify and incorporate community-identified assets into thje Gloucester subregion asset database.\n\n## **Dataset History** \n\n\\*\\*Platypus sites\n\nSpatial data layer: GM_Platypus\n\nAs the platypus is not a listed threatened species under the EPBC Act, distributions have not been modelled by the Department of the Environment. Point locations were extracted from the Atlas of Living Australia (ALA) database in June 2014. The points were then clipped to the Gloucester PAE, resulting in 33 spatial features (or BA "elements").\n\nData downloaded from the ALA is included in this dataset (GLO_AdditionalCommunityAssets\\GLO_input_data\\Platypus\\Raw).\n\n\n\n\\*\\*Oyster spat farm\n\nSpatial data layer: GM_Oyster\n\nLocal Councils identified an oyster farm near Allworth as an asset, but were unable to provide spatial data. Based on the verbal description provided at the workshop, ERIN used the geofabric v2.1 (GUID 5342c4ba-f094-4ac5-a65d-071ff5c642bc) to identify permanent water course areas near Allworth to create a polygon showing the conceptual spatial location of the oyster farm on the Karuah River. \n\n\n\n\\*\\*Heritage places of local significance (LEP)\n\nSpatial data layer: GM_LEP_GLOSCouncil_LocalInterests\n\nPlaces of state/local significance were provided by Gloucester Shire Council in the dataset "Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW)" (GUID: fd1ff106-2f48-4bda-bfd1-a7206747c483). This dataset included sites from three LGAs: Gloucester Shire Council, Great Lakes Council and Port Stephens Council. Two (2) points of state significance were removed, as they were present in Commonwealth heritage data and had already been identified and included as assets. 28 points from 30 points in Great Lakes Council area were also removed, as they were not considered by the Council to be water-related. The remaining 48 features were incorporated into the Gloucester asset database. \n\n\n\n\\*\\*Local Significance from Great Lakes Council\n\nSpatial data layer: GM_LEP_GreatLakesCouncil_LocalInterests\n\nThree (3) point locations and relevant information were suggested by Great Lakes Council. Two of these features were identified in LEP spatial data provided by Gloucester Shire Council (see above). ERIN created a spatial representation for the final feature (Allworth Pool) by digitising a polygon based on the description provided by Great Lakes Council.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2014) Gloucester - Additional assets from local councils. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/47e9540a-dd75-4e04-bddb-574de1b89ecb.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW)](https://data.gov.au/data/dataset/fd1ff106-2f48-4bda-bfd1-a7206747c483)\n\n* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)\n\nGloucester - Additional assets from local councils - Data File<br/>
Spatial Data Conversion of the Atlas of Australian Soils to the Australian Soil Classification v01
No full text## **Abstract** \n\nThis dataset was derived by the Bioregional Assessment Programme. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\n\n\n\nThis dataset converts the original Digital Atlas of Australian Soils (GUID: 9e7d2f5b-ff51-4f0f-898a-a55be8837828) shapefile into the Australian soil classification, as per data from Conversion of the Atlas of Australian Soils to the Australian Soil Classification (GUID: 295707d5-2774-4ca5-a539-6c0426bbd662). A Layer file is also supplied using the RGB colour reference table, also found in the Conversion of the Atlas of Australian Soils to the Australian Soil Classification dataset.\n\n## **Purpose** \n\nProvides a spatial and cartographic representation of the Digital Atlas of Australian Soils shapefile into the new Australian soil classification.\n\n## **Dataset History** \n\nFrom the Conversion of the Atlas of Australian Soils to the Australian Soil Classification dataset (GUID: 295707d5-2774-4ca5-a539-6c0426bbd662) the file asclut.txt was converted to .csv format and field headings added (MAP_UNIT, SOIL_CODE, SOIL_SYMBOL, SOIL).\n\n\n\nThis csv file (asclut.csv) was joined to the Digital Atlas of Australian Soils (GUID: 9e7d2f5b-ff51-4f0f-898a-a55be8837828), soilAtlas2M shapefile on the common 'MAP_UNIT' field. The resulting join was saved as 'soilAtlas2M_ASC_Conversion.shp'\n\n\n\nThe symbology of this shapefile was updated by matching the RGB values provided in the 'asc_colours.xls' spreadsheet from the Conversion of the Atlas of Australian Soils to the Australian Soil Classification dataset (GUID: 295707d5-2774-4ca5-a539-6c0426bbd662) to the 'SOIL' field. A Layer File was created 'soilAtlas2M_ASC_Conversion.lyr'\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Spatial Data Conversion of the Atlas of Australian Soils to the Australian Soil Classification v01. Bioregional Assessment Derived Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/6f804e8b-2de9-4c88-adfa-918ec327c32f.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Digital Atlas of Australian Soils](https://data.gov.au/data/dataset/9e7d2f5b-ff51-4f0f-898a-a55be8837828)\n\n* **Derived From** [Conversion of the Atlas of Australian Soils to the Australian Soil Classification](https://data.gov.au/data/dataset/295707d5-2774-4ca5-a539-6c0426bbd662)\n\nSpatial Data Conversion of the Atlas of Australian Soils to the Australian Soil Classification v01 - Data File<br/>
Victorian Aquifer Framework - Salinity
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\n\n\nThis is the master metadata record for the Victorian Aquifer Framework (VAF) 3D Surfaces dataset. For information on each aquifer surface, please refer to the separate metadata record.\n\n\n\nDEPI originally engaged GHD to develop seamless 3D aquifer surfaces for the Victorian Aquifer Framework (VAF). The seamless mapping of aquifers across the state provides the fundamental framework for groundwater resource management, underpins development of a revised management structure for Victoria (the Secure Allocation Future Entitlement project funded by the National Water Commission) and contributes to the data needs of the Bureau of Meteorology National Groundwater Information System (NGIS). \n\n\n\nThe original dataset was produced by GHD in 2012 using (in part) data provided by Southern Rural Water Corporation and Goulburn-Murray Water Corporation. It has been subsequently amended by Hocking et al and SKM in 2013.\n\n## **Purpose** \n\nAquifer Name, Aquifer Code, Aquifer Number: Quaternary Aquifer QA 100 Upper Tertiary/Quaternary Basalt Aquifer UTB 101 Upper Tertiary/Quaternary Aquifer UTQA 102 Upper Tertiary/Quaternary Aquitard UTQD 103 Upper Tertiary Aquifer (marine) UTAM 104 Upper Tertiary Aquifer (fluvial) UTAF 105 Upper Tertiary Aquitard UTD 106 Upper Mid-Tertiary Aquifer UMTA 107 Upper Mid-Tertiary Aquitard UMTD 108 Lower Mid-Tertiary Aquifer LMTA 109 (Lower) Tertiary Basalts LTB 112 Lower Mid-Tertiary Aquitard LMTD 110 Lower Tertiary Basalts LTB 112 Lower Tertiary Aquifer LTA 111 Lower Tertiary Basalts LTB 112 Cretaceous and Permian Sediments CPS 113 Mesozoic and Palaeozoic Bedrock BSE 114\n\n## **Dataset History** \n\nA number of key input datasets were sourced as part of the process to derive the 3D aquifer surfaces. These datasets included: The DEPI State-wide Stratigraphic Database (SSD); The National Groundwater Information System (NGIS) database containing groundwater borehole location information as well as lithological and stratigraphic information; Raster layers previously produced for Southern Rural Water (SRW) by SKM and GHD in 2009; The crystalline basement surface provided by the former Department of Primary Industries (DPI); Outcrop 1:250,000 scale geological mapping compiled by the former Geological Survey of Victoria, DPI; A state-wide 100m Digital Elevation Model (DEM) based on the DEPI 20m DEM. This was used to represent the natural surface; Data generated using DEPI's state-wide ecoMarkets groundwater modelling package to assist with the definition of key layers of the major Cainozoic aquifers; Latrobe Valley Coal Model which was used to provide a framework for the hydro-stratigraphy of the wet Gippsland Basin; Rasters of the top elevation of the major aquifer systems covering the Kiewa, Ovens, Goulburn-Broken and Loddon and Campaspe catchments; Data extracted from the Basin in a Box, the Murray Basin Hydrological Map Series and the Murray-Darling Basin Groundwater Status 1990-2000: Summary Report; Airborne magnetic data publicly available from raster data published by the former Geological Survey of Victoria, DPI. Once the input data had been compiled, the VAF 3D surfaces were developed by lfollowing a number of key steps, summarised below: (1) Contours as polylines and aquifer extents as polygons were extracted from previous mapping surfaces; (2) Outcrop points attributed with values from the DEM were created; (3) Based on the state-wide stratigraphic database, the contours and extents were refined or created; (4) A top elevation raster was interpolated using contours, outcrop points and bore data then replacing outcrop areas with the DEM; (5) The aquifer thickness was then checked in GIS by comparing layers against each other and assessing for cross-overs and negative thickness; (6) The input data was then revised and bore data, contours, and aquifer extents modified as required due to errors in the thickness; (7) If there were subsequent issues identified such as overlaps between aquifers, mismatches between bores and resulting layers, then the process was revised by returning to Step (3); (8) If the layers were matching well, then extent points were created to smooth layers at the edges; (9) A top elevation raster was generated again using contours, outcrop points, extent points and bore data; (10) The aquifer thickness was checked again, and if significant issues were identified, then the process returned back to Step (3) for further iteration; (11) Further modifications were applied to remove negative thicknesses and to provide minimum thickness of overburden; (12) Top and bottom elevation rasters were then generated at 100m pixel resolution to form the final dataset. In generating each of the layers, a number of Quality Assurance (QA) measures were implemented at various stages of the process. These included a topologic review, a hydrogeological review and an external reveiw by Spatial Vision. The original dataset was published in May 2012 and subsequent revisions have been conducted by Hocking et al and SKM in 2013.\n\n## **Dataset Citation** \n\nVictorian Department of Environment and Primary Industries (2014) Victorian Aquifer Framework - Salinity. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/dd006fce-bef5-4377-82ae-2c5a14b50e34.Victorian Aquifer Framework - Salinity - Data File<br/>
Qld 100K mapsheets - Caboolture
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. The polygons in this dataset are a digital representation of the distribution or extent of geological units within the area. Polygons have a range of attributes including unit name, age, lithological description and an abbreviated symbol for use in labelling the polygons. These have been extracted from the Rock Units Table held in the Department of Natural Resources, Mines and Energy Merlin Database.\n\n## **Purpose** \n\nTo display the geology polygons which define the extent of rock units.\n\n## **Dataset History** \n\nData captured at 1:25 000 scale. The data set is sourced from the Department's Geoscience and Resources Database (GRDB), a component of the Mineral and Energy Resources Location and Information Network (MERLIN) corporate database.(GRDB), a component of the Mineral and Energy Resources Location and Information Network (MERLIN) corporate database. NOTE: GEOLDATA was in most cases compiled based on Datum AGD66. The map tile coverages so compiled have now been projected to geographics based on Datum GDA94. Consequently the boundaries for these map tiles will not conform to the Latitude and Longitude graticule based on Datum GDA94.\n\n## **Dataset Citation** \n\n"Queensland Department of Natural Resources, Mines and Energy" (2014) Qld 100K mapsheets - Caboolture. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/cee55c9c-29f9-4733-aac9-9b82a2ff739f.Qld 100K mapsheets - Caboolture - Data File<br/>