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ASGC Geographic Correspondences (1996)
No full textAustralian Standard Geographic Classification (ASGC) geographic correspondences from 1996 in .csv format. Please be advised that these correspondences are in the format (read from left to right): To Region Code, To Region Name, From Region Code, From Region Name, Ratio, Percent.ASGC Correspondences (1996) - Australian Standard Geographic Classification (ASGC) geographic area and population correspondences (1996) in .csv format<br/>
ASGC Geographic Correspondences (1986)
No full textAustralian Standard Geographic Classification (ASGC) geographic correspondences from 1986 in .csv and .xls formats. Please be advised that the .csv correspondence is in the format (read from left to right): To Region Code, To Region Name, From Region Code, From Region Name, Ratio, Percent. The .xls correspondence is in the format (read from left to right): From Region Code, From Region Name, To Region Code, To Region Name, Ratio, Percent.ASGC Correspondences (1986) - Australian Standard Geographic Classification (ASGC) geographic area and population correspondences (1986) in .csv and .xls formats.<br/>
ASGC (2011 Edition) - Boundaries
No full textASGC 2011 digital boundaries in GeoPackage formatASGC 2011 edition boundaries GeoPackage - ASGC 2011 digital boundaries in GeoPackage format<br/>
APVMA Adverse Experience Reporting Program (AERP) Data, FY2015-2020
No full textThe information in the dataset represents a summary of the adverse experience reports (AERs) received by the Australian Pesticides and Veterinary Medicines Authority (APVMA) during each financial yearAPVMA Adverse Experience Reporting Program (AERP) Data, FY2015-2020 - The information in the dataset represents a summary of the adverse experience reports (AERs) received by the Australian Pesticides and Veterinary Medicines Authority (APVMA) during each financial year<br/>
Air Quality Observations
No full textThis dataset describes observations made of air quality by sensors distributed in Ballarat.\r\nThe information was collected in real time by the sensors.\r\nThe intended use of the information is to inform the public of the historical measured observations of air quality in Ballarat.\r\nThe dataset is typically updated every 15 minutes.\r\nThe City of Ballarat is not an official source of weather information. These observations are provided to the public for informative purposes only. Use other channels for official meteorological observations and forecasts.Air Quality Observations - Ballarat Data Exchange - <br/>
Agricultural commodity statistics 2017
No full textThis annual report is a compendium of historical statistics covering the agriculture, forestry and fisheries sectors. \r\n\r\n It provides a set of comprehensive statistical tables on Australian and world prices, production, consumption, stocks and trade for 19 rural commodities. The commodities covered include grains and oilseeds, livestock, livestock products, wool, horticulture, forestry products and fisheries products. \r\n\r\n The report also contains statistics on agricultural water use and macroeconomic indicators such as economic growth, employment, balance of trade, exchange rates and interest rates.Australian commodity statistics 2017 - Report (revised 2018-01-25) - This annual report is a compendium of historical statistics covering the agriculture, forestry and fisheries sectors. It provides a set of comprehensive statistical tables on Australian and world prices, production, consumption, stocks and trade for 19 rural commodities. The commodities covered include grains and oilseeds, livestock, livestock products, wool, horticulture, forestry products and fisheries products. \r\n<br/>Australian economy - overview tables - Australian economy - overview tables<br/>Australian economy - macroeconomic indicators - Australian economy - macroeconomic indicators<br/>Australian economy - macroeconomic indicators - Australian economy - macroeconomic indicators<br/>Australian economy - farm sector - Australian economy - farm sector<br/>Rural commodities - coarse grains - Rural commodities - coarse grains<br/>Rural commodities - cotton - Rural commodities - cotton<br/>Rural commodities - dairy products - Rural commodities - dairy products<br/>Rural commodities - farm inputs - Rural commodities - farm inputs<br/>Rural commodities - fisheries - Rural commodities - fisheries<br/>Rural commodities - food - Rural commodities - food<br/>Rural commodities - forestry - Rural commodities - forestry<br/>Rural commodities - horticulture - Rural commodities - horticulture<br/>Rural commodities - meat - general - Rural commodities - meat - general<br/>Rural commodities - meat - beef and veal - Rural commodities - meat - beef and veal<br/>Rural commodities - meat - pigs and poultry - Rural commodities - meat - pigs and poultry<br/>Rural commodities - meat - sheep - Rural commodities - meat - sheep<br/>Rural commodities - oilseeds - Rural commodities - oilseeds<br/>Rural commodities - pulses - Rural commodities - pulses<br/>Rural commodities - rice - Rural commodities - rice<br/>Rural commodities - sugar - Rural commodities - sugar<br/>Rural commodities - water - Rural commodities - water<br/>Rural commodities - wheat - Rural commodities - wheat<br/>Rural commodities - wine - Rural commodities - wine<br/>Rural commodities - wool - Rural commodities - wool<br/>
Office of the Australian Information Commissioner
No full text2016-08-19-154054.062557oaic.jpgOffice of the Australian Information Commissione
Namoi Receptor Impact Variables (Pilliga)
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\nThis is a spatial layer that is used to produce a risk composite map for the potential ecological impacts on Pilliga region landscape classes.\n\nIt essentially categorises the different values of the receptor impact variables (RIV) in to three risk categories: 'no or minimal risk', 'some risk' or 'more at risk' using thresholds defined for each RIV (See Namoi 3.4 for more details).\n\n## **Dataset History** \n\nThis is version 01 of the data layer. It was created using landscape classification, receptor impact modelling results and the risk thresholds defined in the Namoi 3-4 report dealing with landscape classes.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2017) Namoi Receptor Impact Variables (Pilliga). Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/ad7c2fdc-794c-4a9e-8a0d-8d5d95e3574d.\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\
Northern Rivers CMA GDEs (DRAFT DPI pre-release)
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 known details at the time of acquisition.\n\n\n\nThis dataset contains an ESRI shapefile with polygons covering Groundwater Dependant Ecosystems in the Northern Rivers CMA. It is a DRAFT DPI pre-release version.\n\n\n\nThis dataset has been provided to the BA Programme on the condition that third parties may not reproduce this dataset. Third parties wishing to use or reproduce this data should contact the data provider.\n\n## **Purpose** \n\nData Status:\n\nThis is a preliminary dataset, the project is on going.\n\n## **Dataset History** \n\nVegetation in NSW of high ecological value having high probability of being groundwater dependent were identified through a process that used current vegetation data, depth to groundwater data, data that showed potential frequency of water use other than surface water based on a continuous 10 year period and expert opinion. High Probability vegetation communities were identified as being of High Ecological Value when they sat within one or more selected datasets. (see below)\n\n\n\nGeographic Extent: Northern Rivers CMA\n\nData sources:\n\n\n\nHigh Probability\n\n1. Vegetation: obtained from OEH\n\n2. Depth to groundwater: modelled data provided by Office of Water Hydrogeologists\n\n3. Potential frequency of water use other than surface water based on a continuous 10\n\nyear period : This data set was created by Herbert Hemakumara (Office of Water) using\n\nremote sensing MODIS\n\n\n\nHigh Ecological Value\n\n1. National Parks and State Forests (OEH)\n\n2. SEPP 14 & 26 (Dept Planning)\n\n3. RAMSAR Wetlands (OEH)\n\n4. Marine parks and aquatic reserves (OEH)\n\n5. Identified rain forest communities (OEH)\n\n6. Threatened or endangered species (OEH)\n\n7. Wildlife corridors, Regional Conservation strategies or communities identified as\n\nbeing significant in various studies (Various Sources)\n\nPositional Accuracy:\n\nThe eastings and northings of all points are only approximate.\n\nThe shape of polygon features are only approximate.\n\n\n\nData Status:\n\nThis is a preliminary dataset, the project is on going.\n\n## **Dataset Citation** \n\nNSW Office of Water (2015) Northern Rivers CMA GDEs (DRAFT DPI pre-release). Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/ac1bd285-5f50-46e2-bc04-b21e8e182a62