AndreaBozzo/ceres-open-data-index huggingface dataset:
Methodologies for multibeam seabed hardness mapping in the Timor Sea - Topographic Position Index

This dataset contains topographic position index data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Bathymetry Grid, Marine Data, Marine Geoscience, NERP, bathymetry, geoscience, marine, multibeam
Organization: Geoscience Australia
Methodologies for multibeam seabed hardness mapping in the Timor Sea - Relief

This dataset contains topographic relief data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Bathymetry Grid, Marine Data, Marine Geoscience, NERP, bathymetry, geoscience, marine, multibeam
Organization: Geoscience Australia
Methodologies for multibeam seabed hardness mapping in the Timor Sea - Probability of Seabed Hardness Grids

This dataset contains probability of seabed hardness data (multibeam angular backscatter response derived product) from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11)

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Backscatter Grid, Marine Data, Marine Geoscience, NERP, backscatter, geoscience, marine, multibeam
Organization: Geoscience Australia
Methodologies for multibeam seabed hardness mapping in the Timor Sea - Bathymetry Grids

This dataset contains multibeam sonar bathymetry data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Bathymetry Grid, Marine Data, Marine Geoscience, NERP, bathymetry, geoscience, marine, multibeam
Organization: Geoscience Australia
Methodologies for multibeam seabed hardness mapping in the Timor Sea - Backscatter Grids

This dataset contains multibeam sonar backscatter data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Backscatter Grid, Marine Data, Marine Geoscience, NERP, backscatter, geoscience, marine, multibeam
Organization: Geoscience Australia
Meteorological measurements at Governor Head, Jervis Bay between 02/11/88 and 31/10/90: 1 hour averages

This dataset is a component of the 'Jervis Bay Baseline Studies' project conducted by the Department of Defence, CSIRO and the Australian Defence Force Academy.

The meteorological station (35.133S, 150.762E) was located several hundred metres inland of 50m high cliffs and was 63m above sea-level. This record contains 3 datasets. The first two contain data relating to wind velocity, direction (E/W and N/S components) and atmospheric pressure for the time periods 02/11/88-29/01/90 and 10/08/90-31/10/90. The third dataset provides cross- and long-shore wind velocities for the first sampling period between 02/11/88-29/01/90.

In these datasets samples have been averaged to provide an hourly mean. Data is presented in the 'ocean format' i.e.  "direction going to".

This is one of thirty-six child records that relate to the parent, 629051e0-2b7b-11dd-a343-00188b4c0af8. A pdf outlining the structure and hierarchy of metadata records relating to the 'Jervis Bay Baseline Studies' project is available to download through this record. Meteorological data was collected to investigate wind forced circulation in Jervis Bay, NSW.

Tags: Atmosphere, Atmospheric Pressure, Atmospheric Winds, Surface Winds
Organization: Australian Defence Force Academy (ADFA)
Meteorological measurements at Governor Head, Jervis Bay: 03/11/89 - 24/09/91: 15 minute samples

This dataset is a component of the 'Jervis Bay Baseline Studies' project conducted by the Department of Defence, CSIRO and the Australian Defence Force Academy.

The Steedman EMS-16 Meteorological Station housing an R.M. Young anemometer and YSI barometer was set up near Governor Head, Jervis Bay (35.133S, 150.762E). The site was several hundred metres inland of 50m high cliffs and was 63m above sea-level.

Between 3nd Nov 1989 and 24th September 1991 the station recorded wind velocity, direction (E/W and N/S components) and atmospheric pressure. 

The Meteorological Station recorded 15 minute vector averages of the wind velocity and 15 minute values of air pressure. Data is presented in the oceanographic format i.e. 'direction going to'. The datasets titled 'Additional meteorological data' provide information on the average wind speed and direction, as well as the maximum gusts.

This is one of thirty-six child records that relate to the parent, 629051e0-2b7b-11dd-a343-00188b4c0af8. A pdf outlining the structure and hierarchy of metadata records relating to the 'Jervis Bay Baseline Studies' project is available to download through this record. Meteorological data was collected to investigate wind forced circulation in Jervis Bay, NSW.

Tags: Atmosphere, Atmospheric Pressure, Atmospheric Winds, Surface Winds
Organization: Australian Defence Force Academy (ADFA)
Meteorological measurements at Governor Head, Jervis Bay: 02/11/88 - 03/11/89: 10 minute samples

This dataset is a component of the 'Jervis Bay Baseline Studies' project conducted by the Department of Defence, CSIRO and the Australian Defence Force Academy.

The Steedman EMS-16 Meteorological Station housing an R.M. Young anemometer and YSI barometer was set up near Governor Head, Jervis Bay (35.133S, 150.762E). The site was several hundred metres inland of 50m high cliffs and was 63m above sea-level.

Between 2nd November 1988 and 3rd November 1989 the station recorded wind velocity, direction (E/W and N/S components) and atmospheric pressure. 

The Meteorological Station recorded 10 minute vector averages of the wind velocity and 10 minute values of air pressure. Data is presented in the oceanographic format i.e. 'direction going to'. The datasets titled 'Additional meteorological data' provide information on the average wind speed and direction, as well as the maximum gusts.

This is one of thirty-six child records that relate to the parent, 629051e0-2b7b-11dd-a343-00188b4c0af8. A pdf outlining the structure and hierarchy of metadata records relating to the 'Jervis Bay Baseline Studies' project is available to download through this record. Meteorological data was collected to investigate wind forced circulation in Jervis Bay, NSW.

Tags: Atmosphere, Atmospheric Pressure, Atmospheric Winds, Surface Winds
Organization: Australian Defence Force Academy (ADFA)
Metabolic enzyme activities in black bream (Acanthopagrus butcheri) from the Swan-Canning Estuary, Western Australia

The CCO and LDH activities in liver, white muscle and gill tissues in the black bream (Acanthopagrus butcheri) were measured to determine their aerobic and anaerobic metabolism. Black bream were collected from five sites within the Swan-Canning estuary under summer conditions in 2001 and 2002 and again under winter conditions in 2002. Enzyme activity levels in the tissues taken were compared to identify spatial, seasonal or
annual variations.

Tags: 37 353003, Acanthopagrus butcheri, Black bream, Coastal Processes, Contaminants, Environmental Impacts, Estuaries, Fish, Human Dimensions, Marine Biology, Oceans, aquatic toxicology, bioindicators, biomarkers
Organization: Department of Environment and Agriculture, Curtin University
Medication Management Review Data

Data about Medication Management Programmes including the Home Medicines Review (HMR), Residential Medication Management Review (RMMR) and MedsCheck/Diabetes MedsCheck Programmes, which is available under the Community Pharmacy Agreement between the Commonwealth and the Pharmacy Guild of Australia.

Excel spreadsheet available on claims made by State and Territories in relation to provision of services associated with the various programmes.

Tags: Diabetes, HMR, Home Medicines Review, MedsCheck, MedsCheck Programme, RMMR, Residential Medication Management Review
Organization: Department of Health and Aged Care
Medicare Benefits Schedule Statistics

The Department of Health published quarterly and annual summary reports online. The Department of Human Services provides an interactive online tool that allows for searching on services provided and benefits paid for items in the MBS.

Data is available for research purposes at detailed aggregate and unit record levels under terms and conditions that ensure compliance with the relevant legislation under which the collection has been made. A range of aggregate data has been made available on the Internet for public use.

Excel spreadsheets  of quarterly and annual summary reports covering:
* Number of services and bulk billing services;
* Benefit paid and fee charged
* Schedule fee and schedule fee observance; and
* patient contribution for out-of-hospital and patient billed services

Interactive online searching on the Internet that returns services and benefits for items and groups in the MBS. These can be viewed by State, patient gender, age group and over time (e.g. by month).

Tags: Medicare Statistics
Organization: Department of Health and Aged Care
Medical Training Review Panel Annual Reports

Data on medical training opportunities in Australia. Over the years, through its annual report, the Medical Training Review Panel (MTRP)  has provided a comprehensive picture of medical education and training, supplementing this with other data on the medical workforce supply.

Provides information on university, prevocational and vocational medical training positions, students and trainees, examination results and college fellows. Information is also included on overseas trained medical practitioners who are seeking to work or currently work in Australia.

Include annual reports since the thirteenth report (2010). Word (or PDF) documents containing numerous tables containing data supplied about medical education and training.

Tags: Medical Education, Medical Training
Organization: Department of Health and Aged Care
Mean transpiration in September from the plant canopy for the present day scenario

    

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 potential evaporation, reflecting the effects of water
limitation in most areas of the continent. Both the annual mean and seasonal
pattern broadly resemble the corresponding patterns for rainfall. Canopy
transpiration maps have more acontrasta (relative variation) than the total
evaporation or rainfall maps because transpiration is a small component of
total evaporation in areas of low plant cover (the remainder being soil
evaporation).The partitioning between soil evaporation and canopy
transpiration in the model is determined by leaf area index.Notes: These are
model-based estimates from the BiosEquil model. Results are given for the
aBASEa (pre-1788) and aAGRICa (present day) conditions. The aAGRICa case
includes current agricultural inputs of water from
irrigation.EvapCanopy.00.Agric, EvapCanopy.01.Agric a| EvapCanopy.12.Agric a
Mean annual and monthly canopy transpiration (mm) in the aAGRICa (present day)
scenarioEvapCanopy.00.Base, EvapCanopy.01.Base a| EvapCanopy.12.Base a Mean
annual and monthly canopy transpiration (mm) in the aBASEa (pre-1788)
scenarioData is in geographics and GDA94.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_ctab_r9cl
__01411a10.xml) for more detail.



Tags: geoscientificinformation, maps, models, vegetation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Mean trasnpiration in September from the plant canopy for the pre 1788 scenario

    

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 potential evaporation, reflecting the effects of water
limitation in most areas of the continent. Both the annual mean and seasonal
pattern broadly resemble the corresponding patterns for rainfall. Canopy
transpiration maps have more acontrasta (relative variation) than the total
evaporation or rainfall maps because transpiration is a small component of
total evaporation in areas of low plant cover (the remainder being soil
evaporation).The partitioning between soil evaporation and canopy
transpiration in the model is determined by leaf area index.Notes: These are
model-based estimates from the BiosEquil model. Results are given for the
aBASEa (pre-1788) and aAGRICa (present day) conditions. The aAGRICa case
includes current agricultural inputs of water from
irrigation.EvapCanopy.00.Agric, EvapCanopy.01.Agric a| EvapCanopy.12.Agric a
Mean annual and monthly canopy transpiration (mm) in the aAGRICa (present day)
scenarioEvapCanopy.00.Base, EvapCanopy.01.Base a| EvapCanopy.12.Base a Mean
annual and monthly canopy transpiration (mm) in the aBASEa (pre-1788)
scenarioData is in geographics and GDA94.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_ctab_r9cl
__01411a23.xml) for more detail.



Tags: geoscientificinformation, maps, models, vegetation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Multibeam_50m_Bathymetry_2012_WCS

This map service contains the extents of the multibeam bathymetry data held by GA, as at August 2012, which lies within the boundaries of Australia's Extended Continental Shelf, as well as some data in international waters.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Earth Sciences, Web Service, marine_coastal
Organization: Geoscience Australia
Mean transpiration in October from the plant canopy for the present day scenario

    

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 potential evaporation, reflecting the effects of water
limitation in most areas of the continent. Both the annual mean and seasonal
pattern broadly resemble the corresponding patterns for rainfall. Canopy
transpiration maps have more acontrasta (relative variation) than the total
evaporation or rainfall maps because transpiration is a small component of
total evaporation in areas of low plant cover (the remainder being soil
evaporation).The partitioning between soil evaporation and canopy
transpiration in the model is determined by leaf area index.Notes: These are
model-based estimates from the BiosEquil model. Results are given for the
aBASEa (pre-1788) and aAGRICa (present day) conditions. The aAGRICa case
includes current agricultural inputs of water from
irrigation.EvapCanopy.00.Agric, EvapCanopy.01.Agric a| EvapCanopy.12.Agric a
Mean annual and monthly canopy transpiration (mm) in the aAGRICa (present day)
scenarioEvapCanopy.00.Base, EvapCanopy.01.Base a| EvapCanopy.12.Base a Mean
annual and monthly canopy transpiration (mm) in the aBASEa (pre-1788)
scenarioData is in geographics and GDA94.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_ctab_r9cl
__01411a11.xml) for more detail.



Tags: geoscientificinformation, maps, models, vegetation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Mean transpiration in October from the plant canopy for the pre 1788 scenario

    

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 potential evaporation, reflecting the effects of water
limitation in most areas of the continent. Both the annual mean and seasonal
pattern broadly resemble the corresponding patterns for rainfall. Canopy
transpiration maps have more acontrasta (relative variation) than the total
evaporation or rainfall maps because transpiration is a small component of
total evaporation in areas of low plant cover (the remainder being soil
evaporation).The partitioning between soil evaporation and canopy
transpiration in the model is determined by leaf area index.Notes: These are
model-based estimates from the BiosEquil model. Results are given for the
aBASEa (pre-1788) and aAGRICa (present day) conditions. The aAGRICa case
includes current agricultural inputs of water from
irrigation.EvapCanopy.00.Agric, EvapCanopy.01.Agric a| EvapCanopy.12.Agric a
Mean annual and monthly canopy transpiration (mm) in the aAGRICa (present day)
scenarioEvapCanopy.00.Base, EvapCanopy.01.Base a| EvapCanopy.12.Base a Mean
annual and monthly canopy transpiration (mm) in the aBASEa (pre-1788)
scenarioData is in geographics and GDA94.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_ctab_r9cl
__01411a24.xml) for more detail.



Tags: geoscientificinformation, maps, models, vegetation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences