AndreaBozzo/ceres-open-data-index huggingface dataset:
IMOS - ANFOG - Seaglider deployment in Victoria off Portland (May - August 2009)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Seaglider in the region of Portland (Victoria).

The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages 5 Seagliders to monitor the boundary currents surroundings Australia.

The variables available in this dataset are:
Temperature, salinity, conductivity, density, pressure, chromophoric dissolved oxygen matter, dissolved oxygen, fluorescence and backscatter coefficient at 660nm.

Tags: ANFOG, Australia, Australian National Facility for Ocean Gliders, Bluewater and Climate, Chlorophyll, Conductivity, Countries, Fluorescence, Fluorometers, Glider, IMOS Facility, IMOS Node, Ocean Chemistry, Ocean Circulation, Ocean Currents, Ocean Optics, Ocean Temperature, Oceans, Oxygen, Seaglider, Suspended Solids, Turbidity, Victoria, Water Temperature
Organization: School of Civil, Environmental and Mining Engineering (CEME), The University of Western Australia (UWA)
IMOS - ANFOG - Seaglider deployment in the Southern Ocean (September 2010 - January 2011)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Seaglider in the Southern Ocean.

The Australian National Facility for Ocean Gliders (ANFOG) located at the University of Western Australia manages 5 Seagliders to monitor the boundary currents surroundings Australia.

The variables available in this dataset are:
Temperature, salinity, conductivity, density, pressure, chromophoric dissolved oxygen matter, dissolved oxygen, fluorescence and backscatter coefficient at 660nm.

Tags: ANFOG, Australian National Facility for Ocean Gliders, Bluewater and Climate, Chlorophyll, Conductivity, Fluorescence, Fluorometers, Glider, IMOS Facility, IMOS Node, Ocean Chemistry, Ocean Circulation, Ocean Currents, Ocean Optics, Ocean Temperature, Oceans, Oxygen, Seaglider, Southern Ocean, Suspended Solids, Turbidity, Water Temperature
Organization: School of Civil, Environmental and Mining Engineering (CEME), The University of Western Australia (UWA)
Experimental Manipulation of Canopy Density in a Temperate Seagrass [Amphibolis griffithii (Black) den Hartog] Meadow: Effects on Sediments

Thirty 3 m diameter plots were established in Warnbro Sound, Western Australia in early 1991, within an Amphibolis griffithii meadow, and the shoot densities manipulated to 0, 25, 50, 75 and 100% (control) by pruning.  These experimental manipulations were monitored and maintained on a monthly basis until March 1993.  The effects of these density changes on sediments were investigated.

Tags: 63 618005, Amphibolis griffithii, Marine Biology, Marine Plants, Marine Sediments, Oceans, Sediment Grain Size, Sediment Transport
Organization: School of Plant Biology (SPB), The University of Western Australia (UWA)
Exploration of the Perth Canyon and assessing the vulnerability of deep-sea corals to climate change and ocean acidification – water column chemistry data, March 2015

This data represents seaborne casts made off the Schmidt Ocean Institute vessel R/V Falkor on a cruise investigating deep sea coral living in the Perth Canyon led by Chief Investigator Prof. Malcolm McCulloch of the ARC Centre of Excellence for Coral Reef Studies at the University of Western Australia.  The cruise (#FK150301) began on the 1st of March and ended on the 12th of March, 2015.  Each cast was made to different maximum depths depending on location within and around the canyon.  The exact time (local WST) and location (Lat/Lon in decimal degrees and informal site name) are provided with each data set.  Each cast consists of water column chemistry data taken from laboratory analyses on water samples collected from the rosette bottles.

Tags: Acidification, Alkalinity, Australia, Biosphere, CTD Rosette, Carbon Dioxide, Climate Change, Corals, Countries, Indian Ocean, Inorganic Carbon, Nitrate, Nitrite, Nutrients, Ocean Chemistry, Ocean Temperature, Oceans, Oxygen, Phosphate, ROV, Salinity, Submarine Canyons, Water Column Samplers, Water Temperature, Zoology, pH
Organization: School of Earth and Environment (SEE), The University of Western Australia (UWA)
Extents of Antarctic sea ice - GIS data

This dataset represents extents of Antarctic sea ice derived from passive microwave data. 
It includes: maximum and minimum sea ice extent based on 1989 - 99 data; maximum sea ice extent by month for the period October - March based on 1973 - 98 data; mean sea ice extent by month based on 1973 - 1998 data; and maximum sea ice extent averaged over the period 1987 - 1998.

The data referenced by this metadata record has been sourced from another metadata record in this catalogue.  For more information on the dataset see:

Antarctic CRC and Australian Antarctic Division Climate Data Set - Northern extent of Antarctic sea ice [climate_sea_ice].

Tags: AMD, ANTARCTICA, CEOS, GIS, SEA ICE, SOUTHERN OCEAN
Organization: Australian Antarctic Division
Extractive resources 100 m transport route separation area

This layer is displayed on the Extractive resources overlay map in City Plan version 7 as '100m transport route separation area'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

Tags: 100m transport route separation area, City Plan, City of Gold Coast, CoGC, Planning and building, extractive resource, open data, seperation area, transport route
Organization: City of Gold Coast
Extractive resources special management area

This layer is displayed on the Extractive resources overlay map in City Plan version 7 as 'Special management area'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

Tags: City Plan, City of Gold Coast, CoGC, Planning and building, extractive resource, open data, planning, special management area
Organization: City of Gold Coast
Extractive resources transport route

This layer is displayed on Strategic framework map 5 - focus areas for economic activity as ‘Haulage route’ and the Extractive resources overlay map as 'Transport route' in City Plan version 7 . The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

Tags: City Plan, City of Gold Coast, CoGC, Planning and building, extractive resource, planning, transport route
Organization: City of Gold Coast
Shale gas prospectivity maps for the Kyalla Formation and Amungee Member of the Velkerri Formation, Beetaloo Sub-basin


## **Abstract** 
This dataset contains the files generated for the Beetaloo Sub-basin Chance of Success Mapping undertaken as part of the Geological and Bioregional Assessments Program.  Play fairway mapping was used to map the distribution of petroleum plays likely to be developed in a 5 to 10 year time frame. This process aims to address the geological factors likely to assist in identifying whether a viable petroleum play is likely to be present, and makes no attempt to factor economics, politics, or social factors into the assessment.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This data set contains image files pertaining to chance of success prospectivity assessment for the Beetaloo Sub-basin. This was undertaken in Stage 2 of the Geological and Bioregional Assessment Program and described in Hall LS, Wang L, Bailey A, Orr M, Owens R, Lech M, Skeers N and Woods M (2020) Petroleum prospectivity for the Beetaloo Sub-basin. Technical appendix for the Geological and Bioregional Assessment Program: Stage 2. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia.

All files use the Map Grid of Australia (MGA) projection (zone 53) and the Geocentric Datum of Australia 1994 (GDA94). Datasets were generated using Petrosys software in Geoscience Australia.

Tags: Geology
Organization: Bioregional Assessment Program
GEODATA TOPO 10M 2002

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.



GEODATA TOPO 10M 2002 provides a fundamental basis layer of geographic information on which you can build a wide range of applications. This data has been derived primarily from GEODATA TOPO 250K Series 1 and contains the following features: State borders, roads, railways, populated places, rivers and lakes, coastline and islands, bathymetric and land contours, and spot locations.

## **Dataset History** 

The key source for production of the Builtup Areas, Drainage, Framework, Localities, Rail Transport, Road Transport and Waterbodies layers was the GEODATA TOPO 250K Series 1 product. Some revision of the Builtup Areas, Road Transport, Rail Transport and Waterbodies layers was carried out using the latest available satelite imagery. The primary source for the Spot Heights, Contours and Offshore layers was the GEODATA TOPO 10M Version 1 product. A further element to the production of GEODATA TOPO 10M 2002 has been the datum shift from the Australian Geodetic Datum 1966 (AGD66) to the Geocentric Datum of Australia 1994 (GDA94).

## **Dataset Citation** 

Geoscience Australia (2013) GEODATA TOPO 10M 2002. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/f55ec9b3-ab74-4056-93a2-b4b8aa65ead1.

Tags: Australia, Cooper subregion, Galilee subregion, Gloucester subregion, Hunter subregion, Namoi subregion, Sydney Basin bioregion, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
Impact Modes and Effects Analysis for the Isa GBA region


## **Abstract** 
This spreadsheet contains a snapshot of the point-of-truth impact modes and effects analysis or hazard identification database. It was extracted from the hazard identification database on 1 June 2019. Please note that the hazard identification database can be updated so a more current version might be available at https://www.bioregionalassessments.gov.au/assessments/geological-and-bioregional-assessment-program/isa-gba-region.  For more information about the hazard identification database please contact bioregionalassessments@environment.gov.au.  For more information about the Geological and Bioregional Assessment Program, visit bioregionalassessments@environment.gov.au.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
The hazard analysis follows the IMEA process described in http://data.bioregionalassessments.gov.au/submethodology/M11.

Tags: IMPACT ANALYSIS
Organization: Bioregional Assessment Program
Thomson River and Barcoo River asset


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Main streams and tributaries of the Thomson and Barcoo river and their confluence with Cooper Creek extracted from the geofrabric. Based on the LEB intergovernmental agreement identifies these are  assets for the GBA.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
CooBarc_v01.tif is the asset grid with values 1 identifying 500m pixel as asset. ThomBarcCoop.shp contains the line features for the Thomson, Barcoo Rivers and tributaries including the confluence with Cooper Creek.

Tags: ECOLOGY Hydrology Mapping, WATER Hydrology
Organization: Bioregional Assessment Program
Cooper resource development spatial extents


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Summary of the range of potential spatial footprints of unconventional gas resource development based on a development scenario with 1,180 wells with 4 to 8 wells per well pad. The range of potential spatial footprint areas is expressed in km2 and in percentage of the Cooper GBA region, area with relative prospectivity greater than 0 and area with relative prospectivity greater than 0.75, respectively. Spatial extent includes the entire unconventional gas resource development extent, which is a combination of development area (i.e. roads, well pads and seismic lines) that includes areas between well pads and seismic lines.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This dataset is derived from an assessment of the maximum prospectivity of the three unconventional gas plays in the Cooper GBA region; shale gas, tight gas and deep coal.

Tags: IMPACT ANALYSIS, Unconventional gas
Organization: Bioregional Assessment Program
Spatial causal network for the Beetaloo GBA region


## **Abstract** 
This dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Effective environmental impact assessment (EIA) relies on rigorous scientific assessment of all potential causal pathways by which large-scale developments may impact on valued assets in a region. Despite their importance to decision-making, many EIAs are flawed by incomplete analysis of causal pathways, limited spatial assessment and a lack of transparency about how risks have been evaluated across the region. To address these, we developed an EIA methodology based on network analysis of potential causal pathways in a given region. This network approach is coupled with a systematic evaluation of the likelihood, consequence and mitigation options for each causal pathway from one or more human activities to multiple valued assets. The method includes analysis of the confidence in these evaluations, recognizing where knowledge gaps constrain assessments of risks to particular assets. The causal network approach is complemented by a spatially explicit analysis of the region that allows residual risk (i.e. risk remaining after all feasible mitigations) to be mapped for all valued assets. This identifies which activities could lead to potential impacts of varying concern (rated from ‘very low’ to ‘very 21 high’), their likely pathways, which valued assets are at risk and where these residual risks are greatest. The output maps reveal ‘risk hotspots’ where more detailed local-scale assessments and monitoring should focus. This dataset contains the spreadsheets describing the causal network for the Beetaloo region and the spatial grids evaluating likelihood, consequence and mitigation. The dataset also contains a spreadsheet summarising the results and all output grids with the level of concern.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This dataset has the input spreadsheet describing the nodes and links in the Beetaloo causal network (BEE_input.xlsx) and the spreadsheet summarizing the results of the spatial causal network analysis (BEE_output.xlsx). The dataset also contains all the grids associated with the link evaluations (grids/input) as geotiff files. The filename corresponds to the entries in the gridname column in the input spreadsheet. The dataset also contains the output grids as geotiff files. These are stored in the directory grids/outputs, organised in a directory per endpoint. Each of these directories contains: 1. a png file of the subnetwork of links leading to that endpoint, 2. the overall impact grid (geotiff), 3. a heatmap of number of processes of concern for each endpoint (geotiff) and three subdirectories (activity, stressor, process) of the impact grids of the causal pathways that contain the activity, stressor or process.

Tags: IMPACT ANALYSIS
Organization: Bioregional Assessment Program
Spatial causal network for the Cooper GBA region


## **Abstract** 
This dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Effective environmental impact assessment (EIA) relies on rigorous scientific assessment of all potential causal pathways by which large-scale developments may impact on valued assets in a region. Despite their importance to decision-making, many EIAs are flawed by incomplete analysis of causal pathways, limited spatial assessment and a lack of transparency about how risks have been evaluated across the region. To address these, we developed an EIA methodology based on network analysis of potential causal pathways in a given region. This network approach is coupled with a systematic evaluation of the likelihood, consequence and mitigation options for each causal pathway from one or more human activities to multiple valued assets. The method includes analysis of the confidence in these evaluations, recognizing where knowledge gaps constrain assessments of risks to particular assets. The causal network approach is complemented by a spatially explicit analysis of the region that allows residual risk (i.e. risk remaining after all feasible mitigations) to be mapped for all valued assets. This identifies which activities could lead to potential impacts of varying concern (rated from ‘very low’ to ‘potentially high’), their likely pathways, which valued assets are at risk and where these residual risks are greatest. The output maps reveal ‘risk hotspots’ where more detailed local-scale assessments and monitoring should focus. This dataset contains the spreadsheets describing the causal network for the Cooper GBA region and the spatial grids evaluating likelihood, consequence and mitigation. The dataset also contains a spreadsheet summarising the results and all output grids with the level of concern.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This dataset has the input spreadsheet describing the nodes and links in the Cooper causal network (COO_input.xlsx) and the spreadsheet summarizing the results of the spatial causal network analysis (COO_output.xlsx). The dataset also contains all the grids associated with the link evaluations (grids/input) as geotiff files. The filename corresponds to the entries in the gridname column in the input spreadsheet. The dataset also contains the output grids as geotiff files. These are stored in the directory grids/outputs, organised in a directory per endpoint. Each of these directories contains: 1. a png file of the subnetwork of links leading to that endpoint, 2. the overall impact grid (geotiff), 3. a heatmap of number of processes of concern for each endpoint (geotiff) and three subdirectories (activity, stressor, process) of the impact grids of the causal pathways that contain the activity, stressor or process.

Tags: IMPACT ANALYSIS
Organization: Bioregional Assessment Program
GIS Layer: Zooplankton biomass seasonality (along 110º E)

Zooplankton biomass point data that has been mapped using MapInfo along 110ºE, Indian Ocean using a standard net (samples from return-trips along the 110ºE latitude line were shifted to 105ºE). These MapInfo layers have been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

Organization: CSIRO Oceans and Atmosphere - Information and Data Centre
Cooper GBA region formation petroleum well pressure and temperature data


## **Abstract** 
This dataset contains a raster surface representing depth to top of the Hutton Sandstone. It was exported from the Cooper Basin Trinity model, then imported into ArcGIS for reporting in the Cooper Stage 2 Hydrogeology Technical Appendix. 100 metre contour lines derived from this raster are included.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This dataset contains a raster surface representing depth to top of the Hutton Sandstone. It was exported from Cooper Basin Trinity-Genesis-KinEx petroleum systems model, then imported into ArcGIS. 100 metre contours derived from this raster are also included.  The data has been clipped to the Cooper GBA region outline.

Tags: geological interpretation
Organization: Bioregional Assessment Program
Chemical properties and ecotoxicity database


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from multiple sources referenced within the dataset and/or metadata. The processes undertaken to compile this dataset are described in the History field in this metadata statement.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Physico-chemical data were compiled from US EPA Estimation Programme Interface (EPI Suite). Estimated properties were based on the Simplified Molecular Input Line-Entry System (SMILES), Biowin models 1-7, PHYSPROP. Ecotoxicology data were compiled from chemical safety data sheets, eChemPortal, USEPA ECOTOX, OECD SIDS, ECHA assessments, USEPA (2015/6) reaxys database, NICNAS/IMAP assessments, ECOSAR 2.0.

Tags: Water Quality
Organization: Bioregional Assessment Program
Assets for the Cooper GBA region on May 3 2019


## **Abstract** 
This spreadsheet contains a snapshot of the point-of-truth asset database extracted on 3 May 2019. Please note that the asset database can be updated so a more current version might be available at https://www.bioregionalassessments.gov.au/assessments/geological-and-bioregional-assessment-program/cooper-gba-region.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This spreadsheet contains a snapshot of the point-of-truth asset database extracted on 3 May 2019. 
For more information about this particular version of the asset database, see the:

- the asset database version log for a more detailed version history

- the asset database's data dictionary and the metadata

Please note that the asset database can be updated so a more current version might be available at https://www.bioregionalassessments.gov.au/assessments/geological-and-bioregional-assessment-program/cooper-gba-region.

The worksheet entitled 'AssetList' records only those assets potentially impacted, either positively or negatively, by changes in the groundwater and/or surface water regime due to unconventional gas resource development and, therefore, registered for inclusion in other components of the geological and bioregional assessment.

Each of the threatened taxa is described in the protected matters technical appendix: O'Grady AP, Herr A, Macfarlane C, Merrin LE and Pavey C (2020) Protected matters for the Cooper GBA region. Technical appendix for the Geological and Bioregional Assessment: Stage 2. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia.

Tags: Risk Assessment
Organization: Bioregional Assessment Program
Tasseled Cap Index wetness Index - Beetaloo GBA region


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. The Tasselled Cap Wetness (TCW) value was calculated for each clear Landsat observation in the Beetaloo GBA region.  Percentiles of each pixel for tasselled cap wetness were calculated using data from the Landsat images taken from 1987 to 2017.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Generated by Digital Earth Australia (Geoscience Australia) for use in GBA mapping.

Organization: Bioregional Assessment Program