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• Agricultural Commodities for 1996/97 (linked to profit function surfaces) from data.gov.au

  No Data — A 756.00KB dataset from data.gov.au. This dataset contains a national grid, of roughly 1km cell size, showing the major forms of agricultural commodity production. The forms of commodity production, classified in the land use map as either dryland or irrigated, include: Agroforestry, Almonds, Apples, Apricots, Avocados, Bananas, Barley, Beef, Canola, Cereals Ex Rice, ...

• Agricultural Structure Classification from data.gov.au

  Free Download — A 160.00KB dataset from data.gov.au. Analyses and classifications of demographic, farm financial and household statistics as indicators of of agricultural structural change in Australia between 1986-1996. Data is presented by Statistical Local Area.

• Annual Family Income, 1996-1997 to 1998-1999 (Three Year Average) from data.gov.au

  No Data — A 2.95MB dataset from data.gov.au. This data relates to the average annual family income of broadacre and dairy farm properties which responded to the ABARE annual farm survey over a three year period from 1996 -1997 to 1998 -1999. Average annual family income is calculated as the family share of farm income plus any wages (that are included as farm […]

• Australian Dryland Salinity Assessment Spatial Data (1:2,500,000) – NLWRA 2001 from data.gov.au

  No Data — A 22.40MB dataset from data.gov.au. The maps represent a compilation of dryland salinity risk and hazard mapping for 2000, 2020 and 2050. The map shows the broad distribution of areas considered as having either a high salinity risk or a high ...

• Australian Water Resources Assessment 2000 Database from data.gov.au

  No Data — A 3.39MB dataset from data.gov.au. Database to support the Australian Water Resources Assessment 2000. The Resource Assessment was undertaken by the National Land and Water Resources Audit in partnership with all States and Territories. The assessment database contains attributes about the availability, use, allocation, sustainability and management of water. These ...

• Depositional Path Length from data.gov.au

  No Data — A 1.93MB dataset from data.gov.au. This data set is a grid of deposition path length and is calculated as part of the transport energy budget. Deposition occurs if transport energy out is less than transport energy in. The interim 9 sec DEM is the basis of the calculations.The data set is a product of Australian Soil Resources Information System (ASRIS) […]

• Erosion Path Length from data.gov.au

  No Data — A 2.48MB dataset from data.gov.au. This data set is a grid of Erosion path length and is calculated as part of the transport energy budget. Erosion occurs if transport energy out is greater than transport energy in to a pixel. The interim 9 sec DEM is the basis of the calculations.The data set is a product of Australian Soil Resources […]

• 0.5 hour 1 M HCl extraction data for the Windmill Islands marine sediments from data.gov.au

  No Data — A 3.00KB dataset from data.gov.au. These results are for the 0.5 hour extraction of HCl. A regional survey of potential contaminants in marine or estuarine sediments is often one of the first steps in a post-disturbance environmental impact ...

• Mean annual deep drainage (mm / y) in the pre 1788 scenario from data.gov.au

  No Data — A 1.06MB dataset from data.gov.au. Definition:Mean annual deep drainage. This is the amount of water draining below the root zone.Interpretation:Significant deep drainage is confined to irrigation areas, and wet areas where rainfall exceeds potential evaporation at least for some months of the year: the southeast (including Tasmania), over the eastern ranges and in the ...

• Mean annual deep drainage (mm / y) in the present day scenario from data.gov.au

  No Data — A 1.07MB dataset from data.gov.au. Definition:Mean annual deep drainage. This is the amount of water draining below the root zone.Interpretation:Significant deep drainage is confined to irrigation areas, and wet areas where rainfall exceeds potential evaporation at least for some months of the year: the southeast (including Tasmania), over the eastern ranges and in the ...

• Mean annual tranpiration from the plant canopy for the pre 1788 scenario from data.gov.au

  No Data — A 991.00KB dataset from data.gov.au. :Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the effects of water limitation in most areas of the continent. Both the annual mean and seasonal pattern broadly resemble the ...

• Mean annual tranpiration from the plant canopy for the present day scenario from data.gov.au

  No Data — A 1.12MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...

• Mean tranpiration in April from the plant canopy for the pre 1788 scenario from data.gov.au

  No Data — A 1.10MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...

• Mean tranpiration in August from the plant canopy for the pre 1788 scenario from data.gov.au

  No Data — A 1.12MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...

• Mean tranpiration in August from the plant canopy for the present day scenario from data.gov.au

  No Data — A 1.12MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...

• Mean tranpiration in December from the plant canopy for the pre 1788 scenario from data.gov.au

  No Data — A 979.00KB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting ...

• Mean tranpiration in December from the plant canopy for the present day scenario from data.gov.au

  No Data — A 979.00KB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting ...

• Mean tranpiration in February from the plant canopy for the pre 1788 scenario from data.gov.au

  No Data — A 1.09MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...

• Mean tranpiration in January from the plant canopy for the pre 1788 scenario from data.gov.au

  No Data — A 975.00KB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting ...

• Mean tranpiration in January from the plant canopy for the present day scenario from data.gov.au

  No Data — A 1.09MB dataset from data.gov.au. Mean annual (00) and monthly (01…12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than potential evaporation, reflecting the ...