AndreaBozzo/ceres-open-data-index huggingface dataset:
QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111

## **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.

The groundwater database extract holds groundwater bore location, construction,  aquifer details, level and quality information from the State's core groundwater system. The system is provided in text files and as Microsoft Access database. There are twenty one main tables: 

- aquifer

-bore_condition

-casing

-elevations

-facility roles

- field_water _quality

-flow irregularities

-lithology

- multiple conductivity

- precipitates

-pump test readings

-pump test summary

-registrations

-sample record

-sample results

- sample variables

-strata logs

- stratigraphy

- water analysis

- water levels

- wireline logs



For further explanation on these tables, information is found in the Queensland Government Department of Natural Resources and Mining, Groundwater Database : Data Dictionary and Standards.

A read-me file is also provided that allows the user to import each text file to excel or access. All tables have already been imported to the microsoft access database.

## **Dataset History** 

The database was created by the staff at the  Queensland Government as the States repository of groundwater bore and monitoring information.

## **Dataset Citation** 

Queensland Department of Natural Resources and Mines (2013) QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/827e70b3-29d5-4e89-8d59-a93bc499de60.

Tags: Clarence-Moreton bioregion, Galilee subregion, Gloucester subregion, Maranoa-Balonne-Condamine subregion, Queensland, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
Landscape Groundwater Basins South Australia - ARC

## **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.

Groundwater basins in South Australia.

## **Purpose** 

For environmental and hydrological applications.

## **Dataset History** 

Created by the former Department for Mines and Energy in 1997.

## **Dataset Citation** 

XXXX XXX (2015) Landscape Groundwater Basins South Australia - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/81584344-d12c-4ce9-8849-748c7a31e17c.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Queensland Wildnet records clipped to the Cooper GBA region


## **Abstract** 
This is a subset of the wildlife records from the Queensland Department of Environment, land and water's WildNet database approved for public release and  clipped to the Cooper GBA region.


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


## **History** 
This dataset contains the WildNet wildlife records approved for release (by data providers), that are not classed as erroneous or duplicate, that have a location precision equal to or less than 10000 metres, do not have a count of zero and for taxa not listed as confidential. This dataset is generated weekly. Date: 2018-05-21 (publication): https://data.qld.gov.au/dataset/wildnet-wildlife-records-published-queensland/resource/4fb305f7-18e9-4bc1-903b-34c0959a4731

Tags: ECOLOGY Community
Organization: Bioregional Assessment Program
Beetaloo GBA extended region spaceborne LiDAR data


## **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. The spatial point dataset represents an estimate of the top-of-canopy height for vegetation across the Beetaloo GBA extended region. The raw data was sourced from NASA's Land Processes Distributed Active Archive Center (LP DAAC) - https://doi.org/10.5067/GEDI/GEDI02_A.001


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


## **History** 
Relative canopy height 98th percentile (RH98)  derived from the Global Ecosystem Dynamics (GEDI) Level 2A data (GEDI L2A Elevation and Height Metrics Data Global Footprint Level V001). Top-of-canopy height was extracted from raw .hdf5 data (accessible from https://e4ftl01.cr.usgs.gov/GEDI/GEDI02_A.001/) and converted to ESRI shapefile format (.shp). Processing based upon Python routines described here: https://lpdaac.usgs.gov/resources/e-learning/getting-started-gedi-l2a-version-2-data-python/.

Tags: ECOLOGY Habitat Mapping, REMOTE SENSING Lidar
Organization: Bioregional Assessment Program
Cooper GBA region floodplain 2019 LiDAR extent


## **Abstract** 
This dataset defines the 2019 LiDAR survey extent of the Cooper GBA region floodplain. The total area of survey is 31,780 km². The extent is shown in a map figure which accompanies this dataset. The survey was conducted to develop a Digital Elevation Model and to determine bathymetry which is  required for a two-dimensional hydrodynamic flood inundation model  of the Cooper Creek floodplain. GBA shall have full Intellectual Property rights and ownership of all contract generated material produced as part of this survey project.


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


## **History** 
The shapefile extent was developed to define the total area of LiDAR survey. The acquisition phases occurred over two mobilisations. The first mobilisation was flown from 20 March - 4 April, 2019 with an aircraft equipped with a Riegl LMS Q780 LiDAR system. The second mobilisation was flown from 6 - 17 October, 2019 with an aircraft equipped with a Riegl LMS Q1560 LiDAR system.

Tags: Digital Elevation Model, REMOTE SENSING Lidar, WATER Bathymetry
Organization: Bioregional Assessment Program
Beetaloo waterholes and wetlands


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. This dataset contains the permanent waterholes and ephemeral wetlands for the Beetaloo extended GBA region.


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


## **History** 
This dataset contains the permanent waterholes and ephemeral wetlands used in the Beetaloo GBA extended region. It uses the polygons from the DEA waterbodies (https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/132814) with some minor modifications around Newcastle Creek and Lake Woods. Each polygon had the maximum proportion of time inundated of any pixel from WoFS recorded and these were used in the classification. Permanent waterholes had water at least 70% of the time, ephemeral wetlands had water less than 70% of the time. The 70% threshold was adopted from the work of Silcock (2009) in the similarly arid Lake Eyre Basin.

Tags: SURFACEWATER Waterholes, WATER Surface, WATER Wetlands
Organization: Bioregional Assessment Program
South Australia Conservation Status for the Cooper GBA region


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program from the Atlas of Living Australia Conservation Status by clipping to the Cooper GBA region.


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


## **History** 
This dataset was derived from spatial records extracted from the Atlas of Living Australia Conservation Status spatial portal (https://lists.ala.org.au/speciesListItem/list/dr653) spatial portal and clipped to Cooper GBA region.
Description: South Australia
Classification codes under the National Parks and Wildlife Act 1972:
Endangered or extinct
Vulnerable
Rare
Information on currently accepted flora and fauna taxonomy in South Australia including conservation status information.
Type of content Includes: species list.

Tags: ECOLOGY Community, FAUNA Native, FLORA Native
Organization: Bioregional Assessment Program
Vegetation cover condition (Cooper region)


## **Abstract** 
Vegetation cover condition is an assessment of how much impact disturbances (including management activities) have had on ground cover. Condition is assessed using Compere, a relative performance bench marking framework that compares one location's value to the values of all biophysically equivalent locations in a given region. Resulting condition estimates range from 0 (lowest observed cover among equivalents) to 1 (highest observed). Underlying total vegetation cover data are the total fraction of ground covered by green and senesced plant material (Guerschman et al., 2018, Remote Sensing of Environment 113, 928-945). Cover condition has been assessed yearly from 2001 to 2018 at a grid resolution of 500 m.  


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


## **History** 
Annual rainfall, historical NDVI (Normalised Difference Vegetation Index), slope and total cover fraction data were used to calculate cover condition.  Annual rainfall was from the Bureau of Meteorology daily 5 km gridded data (Jeffrey et al., 2001).  NDVI was from MODIS MOD13Q1 and MOD09Q1 data.  Slope was from the CSIRO’s SRTM 9 digital elevation model data (Gallant et al., 2011).  Cover was from CSIRO’s fractional cover data (derived from MCD43A4 data, Guerschman and Hill, 2018).
Surface Water Points data and the Sturt National Park boundary data were used to test results.  These were sourced from Crossman and Li (2015) and Commonwealth of Australia (2019), respectively.
Background NDVI, slope and annual rainfall were used quantify locations that were biophysically equivalent to a given target location.  The total cover fraction of the target was compared to that from all ‘equivalent’ locations to yield a relative ranking of the target’s cover value.  This is interpreted directly as cover condition.  This was repeated for all locations (grid cells) and years.
An assessment of the impact of the mining industry on cover condition across the Cooper region was undertaken, using confidential well location data. 
See associated publications for more details.
Jones, D.A., Wang, W., & Fawcett, R. (2009). High-quality spatial climate data sets for Australia. Australian Meteorological and Oceanographic Journal, 58, 233-248.
Gallant, J.C., Dowling, T.I., Read, A.M., Wilson, N., Tickle, P.K., & Inskeep, C. (2011). 1 second SRTM-derived Digital Elevation Models User Guide. Canberra: Geoscience Australia.
Guerschman, J.P., & Hill, M.J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9, 696-705. DOI: 10.1080/2150704X.2018.1465611.
Crossman, S., & Li, O. (2015). Surface Hydrology points (Regional). Geosciences Australia. Canberra. http://pid.geoscience.gov.au/dataset/ga/83132.
Commonwealth of Australia (2019). Collaborative Australian Protected Areas Database (CAPAD) 2018. Commonwealth of Australia. Canberra.

Tags: REMOTE SENSING Spectroradiometer, VEGETATION condition, VEGETATION cover
Organization: Bioregional Assessment Program
Beetaloo GBA region non-development disturbance dataset


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. The Beetaloo GBA region non-development disturbance dataset contains all of the non-linear (see additional datasets listed below for linear features), ecological disturbances from existing publicly available datasets (see input dataset listed below). The dataset has been created for the purpose of quantifying baseline ecological disturbances for assessment of the exploration impact analysis.


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


## **History** 
The Lineage field lists the parents of this dataset. Points and line features were selected from various input layers and were checked against imagery in ArcMap 10.5 (ESRI basemap / Digital Globe* (Jan 2018) and Bing** (various 2015 to 2019)) to determine if they should be included and if a buffer should be added (e.g. a wind pump is a point feature, but the area around it has also been cleared (disturbed) and so the point was buffered to better represent the disturbance). See the Excel file in the dataset for details. *DigitalGlobe © 2019 CNES Distribution Airbus DS **Bing Maps Aerial © 2019 Microsoft Corporation.

Organization: Bioregional Assessment Program
Recharge across the Cambrian Limestone Aquifer


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program 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.                         This is an initial dataset that was published for peer review on 21/07/2020 and will be finalised when the journal paper is revised and accepted for publication. This dataset contains the inputs, outputs and code used to estimate recharge across the extent of the Cambrian Limestone Aquifer. The method is described in a journal paper:<br /><br />Crosbie and Rachakonda (2020) Constraining probabilistic chloride mass balance recharge estimates using baseflow and remotely sensed evapotranspiration: The Cambrian Limestone Aquifer northern Australia. Submitted to Hydrogeology Journal.<br /><br />A copy of this draft journal paper is included in the dataset.


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


## **History** 
This dataset contains the inputs, outputs and code used to estimate recharge across the extent of the Cambrian Limestone Aquifer. The method is described in a journal paper:

Crosbie and Rachakonda (2020) Constraining probabilistic chloride mass balance recharge estimates using baseflow and remotely sensed evapotranspiration: The Cambrian Limestone Aquifer northern Australia. Submitted to Hydrogeology Journal

A copy of this draft journal paper is included in the dataset.

Tags: GROUNDWATER Recharge
Organization: Bioregional Assessment Program
Beetaloo maximum prospectivity for Amungee wet, Amungee dry and Kyalla wet gas


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. The maximum prospectivity for unconventional gas in the Beetaloo region over the three main unconventional gas plays: the Amungee wet gas, Amungee dry gas and Kyalla wet gas.


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


## **History** 
The maximum for each grid cell of the prospectivity grids of Amungee wet gas, Amungee dry gas and Kyalla wet gas are calculated and projected onto the template 500m grid for impact analysis. The result is exported as a geotiff in EPSG:3577 projection.

Tags: geology
Organization: Bioregional Assessment Program
Beetaloo formation pressure and temperature data compiled from petroleum well completion reports


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program. Pressure and temperature data compilation sourced from Petroleum well completion reports for wells in the Beetaloo GBA region.   Drill stem tests (DST) and wireline geophysical logging data was used to compile this data.


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


## **History** 
Pressure and temperature data were compiled into a single dataset from drill stem tests (DST) and wireline geophysical logging from petroleum well completion reports for wells in the Beetaloo GBA region.

Tags: hydrogeology
Organization: Bioregional Assessment Program
GBA-ISA-LandscapeClasses


## **Abstract** 
The dataset was compiled by the Bioregional Assessment Program from sources referenced within the dataset and/or metadata. A landscape classification approach was used to determine how hydrological changes due to shale, tight and deep coal gas development may affect ecosystems at a landscape scale in the Isa GBA region. Nine landscape classes have been identified for the Isa GBA region.


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


## **History** 
Inputs into the landscape classification were based on existing classification schemes wherever possible and can be purely physical, biological or predictive. Choice of approach depends on the availability of data at an appropriate scale, as well as the expertise and resources for undertaking the assessment. Landscape classifications should be credible, transparent, logical and consistently applied; where possible, match other classifications (or at least some of their classes); and be feasible within available resourcing. The landscape classification developed for the Isa GBA region is based on Queensland Land Zones (Wilson and Taylor, 2012), which were supplied by the Queensland Government (State of Queensland (Department of Environment and Science), 2018) and assigned to corresponding landscape classes.

State of Queensland (Department of Environment and Science) (2018) Biodiversity status pre-clear reg ecosys QLD 2018/03/01. State of Queensland (Department of Environment and Science). Viewed 25/06/2018, http://qldspatial.information.qld.gov.au/catalogue/custom/search.page?q=%22Biodiversity%20status%20of%20pre-clearing%20regional%20ecosystems%20%E2%80%93%20Queensland%22. GBA data repository GUID: https://repo.bioregionalassessments.gov.au/metadata/C1C26653-9C81-40F5-9170-720B74ACC214.

Wilson P and Taylor P (2012) Land Zones of Queensland. Queensland Herbarium, Queensland Department of Science, Information Technology, Innovation and the Arts, Brisbane. Viewed 01 March 2019, https://environment.des.qld.gov.au/assets/documents/plants-animals/ecosystems/land-zones-queensland.pdf.

Organization: Bioregional Assessment Program
Integrated Marine and Coastal Regionalisation of Australia (IMCRA) v4.0 – Provincial Bioregions

    

An inshore regionalisation of Australian waters derived from biological and
physical data, including the distribution of demersal fishes, marine plants
and invertebrates, sea floor geomorphology and sediments, and oceanographic
data.

The meso-scale regionalisation was compiled from information supplied to the
Australian Government Department of the Environment by the
relevant State, Northern Territory and Commonwealth marine research and
management agencies.

The seaward extent for the meso-scale IMCR coverage is defined by the 200m
isobath except where this boundary extends beyond the Australian Exclusive
Economic Zone (AEEZ).



Organization: Australian Government Department of Climate Change, Energy, the Environment and Water
Actual evapotranspiration (ETa) from 2001 to 2019 for the Beetaloo GBA region


## **Abstract** 
This dataset was produced by the Geological and Bioregional Assessment Program to assess vegetation water use characteristics in the Beetaloo GBA region. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset was produced from MODIS ETa images and Landsat images. The updated TERN AET dataset (see https://www.tern.org.au/news-australia-wide-aet-data/) has several key improvements implemented which means it supersedes the Landsat-MODIS blended AET developed for the GBA Program. The GBA AET data are still valid for use in analysis. This dataset contains a detailed metadata statement, including technical details regarding the original dataset.


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


## **History** 
This dataset contains the Landsat-MODIS blended 8-day AET images for Beetaloo GBA Region from Feb 2000 to Sep 2018. The main source datasets include 1) AET images derived from 8-day MODIS c6 product by CSIRO Land and Water, 2) Landsat reflectance images provided by GA Datacube on NCI. This data set has been superseded by the updated TERN AET dataset (see https://www.tern.org.au/news-australia-wide-aet-data/) but is still valid for use in analysis.

Tags: REMOTE SENSING Spectroradiometer, WATER Evapotranspiration
Organization: Bioregional Assessment Program
Isa: Species (distribution and occurrence) by prospective resources


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program 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.


## **Attribution** 
Geological and Bioregional Assessments


## **History** 
Species occurrences and mapped distributions were clipped to the Isa assessment region and intersected with the likely and unlikely prospective resource layers in addition to the tenements data for QLD. The area of spatial distribution and count of occurrences were calculated for each species within each of the intersected regions.

Organization: Bioregional Assessment Program
Depth to the Top of Eyre/Glendower formations


## **Abstract** 
This dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. The dataset is a gridded surface representing the depth of the Eyre Formation in metres from the ground surface in and immediately surrounding the Cooper GBA Region. This dataset was generated for Cooper GBA Stage 3 analysis and outputs.


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


## **History** 
This dataset was generated in ESRI's ArcGIS software.  Input points Winton Eyre and Glendower Formations Outcrop Elevation Points and Cooper GBA stratigraphic drillhole intersections were gridded using the 'Natural Neighbour' interpolation method to the full extent of the input points.  The grid was then clipped to the spatial extents of the Cooper GBA Region.

Tags: Geology
Organization: Bioregional Assessment Program
Permanent waterholes of Cooper Creek


## **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. The dataset was developed to assist in the classification of permanent waterholes in the Cooper GBA region.


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


## **History** 
The dataset contains two shapefiles. The first (COO_Lakes_WH_WFS.shp) contains all the lakes and waterholes identified in the 250K topo maps and uses the Water Observations From Space dataset to find the pixel within each polygon that has the maximum proportion of time inundated (MAX field). Waterholes that are inundated more than 70% of the time (MAX>0.70) are considered to be semi-permanent, those that are inundated more than 95% (MAX>0.95) are considered to be permanent. The second dataset (perm_WH_DTWT.shp) is looking at the depth to water table beneath waterholes. There are no dedicated observation bore networks to look at groundwater levels beneath waterholes so this dataset is using the closest water level observation up to a maximum of 5 km away. The field NEAR_DIST is the distance of the bore from the waterhole and the field WH_DTWT is the  depth to water table below the waterhole assuming that the groundwater level is the same as that in the borehole within 5 km. A positive value in WH_DTWT means that the groundwater level is below the water level of the waterhole, a negative value means that the groundwater level is above the water level of the water hole.

Tags: Groundwater dependent ecosystems, inland water features
Organization: Bioregional Assessment Program