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Australian Food Composition Database
Food Standards Australia New Zealand (FSANZ)
The Australian Food Composition Database (previously called NUTTAB) is a reference database that contains data on the nutrient content of Australian foods. It is referred to as... -
Annual Family Income, 1996-1997 to 1998-1999 (Three Year Average)
Australian Bureau of Agriculture and Resource Economics and Sciences
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... -
Agricultural Structure Classification
Australian Bureau of Agriculture and Resource Economics and Sciences
Analyses and classifications of demographic, farm financial and household statistics as indicators of of agricultural structural change in Australia between 1986-1996. Data is... -
Mean annual concentration of mineral nitrogen in soil water (mgN / kgH20) in...
Australian Bureau of Agriculture and Resource Economics and Sciences
Definition: Mean annual dissolved concentration of mineral nitrogen in soil water (mg of nitrogen per kg of water), averaged for both soil layers. Interpretation: The dissolved... -
Mean transpiration in March from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Victorian Dryland Salinity Assessment 2000 – dc04cac_hydrol_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of hydrology features located in the potential shallow water table zone See further metadata for more detail. -
Mean transpiration in March from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in June from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Victorian Dryland Salinity Assessment 2000 – dc10cac_flora_dist_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of threatened flora records located in the potential shallow water table zone See further metadata for more detail. -
Victorian Dryland Salinity Assessment 2000 – dc09cac_flora_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of threatened flora records located in the potential shallow water table zone See further metadata for more detail. -
Mean transpiration in September from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Australian Water Resources Assessment 2000 Database
Australian Bureau of Agriculture and Resource Economics and Sciences
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... -
Mean transpiration in August from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Victorian Dryland Salinity Assessment 2000 – dc16cac_agric_cost.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Estimation of agricultural gross margins lost as the result of shallow water tables and salinity in each Catchment Management Authority region See further metadata for more detail. -
Mean annual transpiration from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
:Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in November from the plant canopy for the pre 1788 scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in March from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Victorian Dryland Salinity Assessment 2000 – dc07cac_road_final.xls
Australian Bureau of Agriculture and Resource Economics and Sciences
Classification of roads located in the potential shallow water table zone See further metadata for more detail. -
Mean transpiration in November from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than... -
Mean transpiration in July from the plant canopy for the present day scenario
Australian Bureau of Agriculture and Resource Economics and Sciences
Mean annual (00) and monthly (01a|12) transpiration (mm) from the plant canopy for the period 1980-1999.Interpretation:Canopy transpiration is far more spatially variable than...