{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"author_email": null, "contact_point": "bioregionalassessments@environment.gov.au", "creator_user_id": "2846d45e-3969-4419-a085-84f5716ede91", "duplicate_score": 1, "geospatial_topic": [], "id": "0ae845a2-bdbd-4a0c-af1d-c5fbcdca0e9f", "isopen": false, "language": "eng", "license_id": "Restricted access. This dataset is not available for public distribution.", "license_title": "Restricted access. This dataset is not available for public distribution.", "maintainer": null, "maintainer_email": null, "metadata_created": "2018-12-11T01:58:43.319864", "metadata_modified": "2023-08-09T05:50:04.091073", "name": "b016aaaa-eca8-4d57-b9c2-21809e1e3c60", "notes": "## **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\nReceptor impact models (RIMs) are developed for specific landscape classes. The prediction of Receptor Impact Variables is a multi-stage process.  It relies on the runs from surface water and groundwater models at nodes within the analysis extent. These outputs derive directly from the hydrological model. For a given node, there is a value for each combination of hydrological response variable, future, and replicate or run number. Not all variables may be available or appropriate at every node. This differs to the quantile summary information that is otherwise used to summarise the HRV output and is also registered.\n\n## **Dataset History** \n\nThere is a key look up table (Excel file) that lists the assessment units (AUIDs) by landscape class (or landscape group if appropriate) and notes that groundwater modelling node and runs, and the surface water modelling node and runs, that should be used for that AUID.  In some cases the AUID is only mapped to one set of hydrological modelling output. This look up table represent the AUIDs that require RIV predictions. For NAM and GAL there is a single look up table. For GLO and HUN surface and GW are provided separately. \n\nReceptor impact models (RIMs) are developed for specific landscape classes.  The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array.  The formatted data is available as an R data file format called RDS and can be read directly into R.\n\nThe R script IMIA_NAM_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the NAM subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the  NAM_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (XXXX) NAM_Predictions_of_receptor_impact_variables_v01. Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/b016aaaa-eca8-4d57-b9c2-21809e1e3c60.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Landscape classification of the Namoi preliminary assessment extent](https://data.gov.au/data/dataset/360c39e5-1225-401d-930b-f5462fdb8005)\n\n* **Derived From** [Namoi CMA Groundwater Dependent Ecosystems](https://data.gov.au/data/dataset/a3e21ec4-ae53-4222-b06c-0dc2ad9838a8)\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** [Border Rivers Gwydir / Namoi Regional Native Vegetation Map Version 2.0. VIS_ID 4204](https://data.gov.au/data/dataset/b3ca03dc-ed6e-4fdd-82ca-e9406a6ad74a)\n\n* **Derived From** [Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)\n\n* **Derived From** [Murray-Darling Basin Aquatic Ecosystem Classification](https://data.gov.au/data/dataset/a854a25c-8820-455c-9462-8bd39ca8b9d6)\n\n", "num_resources": 0, "num_tags": 2, "organization": {"id": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "name": "bioregional-assessment-program", "title": "Bioregional Assessment Program", "type": "organization", "description": "The Australian Government's bioregional assessments programs are a collaboration between the Department of Agriculture, Water and the Environment, the Bureau of Meteorology, CSIRO and Geoscience Australia. There are two separate programs of bioregional assessments.\r\n\r\nThe Bioregional Assessment Program (2012 - 2017) seeks to better understand the potential impacts of coal seam gas and large coal mining developments on water resources and water-related assets. It is one of a number of actions undertaken by the Australian Government to strengthen the science underpinning decision making on coal seam gas and large coal mining developments.\r\n\r\nThe Geological and Bioregional Assessment Program (2017 - 2021) assessed the potential impacts of shale and tight gas development on water and the environment. The Program assessed three priority geological basins: the Cooper Basin in Queensland and South Australia, the Isa Superbasin in Queensland and the Beetaloo Sub-basin in the Northern Territory (referred to as GBA regions", "image_url": "2015-10-30-051742.096388Bioregional-assessments-logo-800.jpg", "created": "2015-10-30T05:17:42.164347", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://data.gov.au/data/dataset/", "href": "https://data.gov.au/data/dataset/b016aaaa-eca8-4d57-b9c2-21809e1e3c60", "title": "data.gov.au"}, "owner_org": "69f37b4c-bdf0-4c85-bd56-82fa6d6b087a", "private": false, "spatial_coverage": "POLYGON ((0 0, 0 0, 0 0, 0 0))", "state": "active", "temporal_coverage_from": "2018-12-11 01:58:43", "title": "NAM_Predictions_of_receptor_impact_variables_v01", "type": "dataset", "unpublished": false, "url": null, "version": null, "extras": [{"key": "contact_info", "value": "false"}, {"key": "data_state", "value": "active"}, {"key": "field_of_research", "value": "[]"}, {"key": "jurisdiction", "value": "NONE"}, {"key": "update_freq", "value": "never"}], "tags": [{"display_name": "Namoi subregion", "id": "11cbf605-34cc-4c80-8d3e-78645cf10e2f", "name": "Namoi subregion", "state": "active", "vocabulary_id": null}, {"display_name": "environment", "id": "025ddd17-0fbd-4906-9a62-e43c25e38acb", "name": "environment", "state": "active", "vocabulary_id": null}], "resources": [], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}