AndreaBozzo/ceres-open-data-index huggingface dataset:
Reliability shapefile for slope corrected orthometric heights of Antarctica derived from ERS radar altimetry

Shapefile indicating areas of valid and invalid slope corrected orthometric heights derived from ERS Radar Altimetry. Refer to metadata record GRI_ORT_SLC_FIN for more information.

Tags: ALTIMETRY, AMD, AMD-AU, ANTARCTICA, CEOS, CONTINENT - ANTARCTICA, DTM, EARTH SCIENCE - LAND SURFACE - TOPOGRAPHY - TERRAIN ELEVATION, ELEVATION, ERS, ERS-1 - European Remote Sensing Satellite-1, ERS-2 - European Remote Sensing Satellite-2, GEOGRAPHIC REGION - POLAR, RADAR, Radar Altimeters
Organization: Australian Antarctic Division
QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808

## **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 Queensland Government Department of Natural Resources and Mining 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 (2014) QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/a5c5cbdb-1152-43f7-9533-a123027b7ce1.

Tags: Clarence-Moreton bioregion, Galilee subregion, Queensland, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
Groundwater chemistry in the Beetaloo GBA groundwater bore data extraction area


## **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. Aquifer designations of groundwater monitoring wells in the groundwater bore extraction area. Note Jindare Formation included with Antrim Plateau Volcanics.


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


## **History** 
Data from various sources has been combined into a single dateset for use in the Beetaloo GBA project in Excel and ArcGIS. Dataset linage includes the Groundwater quality dataset for the Beetaloo GBA area, supplied by Pangaea Resources GBA GUID: FE6B6C2F-B2AA-40EB-9EEB-5DA12ECDFAAC and the Origin Data Package, supplied by Origin Energy GBA GUID: 0BE0A3FE-7C2E-48EF-B890-F42C38EEF24F

Organization: Bioregional Assessment Program
Aquatic GDE in the Betaloo springs only


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program from multiple source datasets. The source datasets are identified in the History 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** 
The dataset is a combination of both parent datasets with a selection for springs only, thus excluding all other GDEs from the GBA Beetaloo basin GDE.
The source datasets include: Beetaloo basin GDE (Geological and Bioregional Assessments) URL: https://dmp.bioregionalassessments.gov.au/metadata/E4C2B147-8338-4821-BC5E-DE300E9B6362 and Springs of the Northern Territory (Department of Environment and Natural Resources, Northern Territory) URL: http://www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=E9D78F668FC02B33E040CD9B214403C3

Tags: ECOLOGY biophysical, WATER Hydrology Mapping, inland water features
Organization: Bioregional Assessment Program
Regional Three-Dimensional Geological Model for the Beetaloo Sub-basin


## **Abstract** 
This dataset contains the integrated surfaces form a three-dimensional geological model that was used as a visualisation tool in assessing the structural and stratigraphic framework of the Beetaloo GBA region and assisted in assessing the unconventional gas resource prospectivity and potential impacts associated with their development. These surfaces and can be accessed using most 3D-software packages.


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


## **History** 
Orr et al. (2020) published regional three-dimensional depth and isochore maps for key stratigraphic horizons of the Beetaloo Sub-basin and overlying Paleozoic (Georgina/Wise/Daly) and Mesozoic (Carpentaria) basins. These maps are based on: published depth maps of Frogtech Geoscience (2018a; 2018b), Department of Environment and Natural Resources (NT) (2018a; 2018b), Randal (1973), Hutchinson et al. (2008); seismic interpretation of Williams (2019), and; additional modelled surfaces based on formation top picks contained in well completion reports (Northern Territory Government, 2018). For full details on the inputs and methods used to compile the three-dimensional model refer to Orr et al. (2020).

Tags: 3D model, Beetaloo sub-basin
Organization: Bioregional Assessment Program
Recharge pathway domains - Beetaloo GBA region


## **Abstract** 
Interpretation of data on maps 522 and 528 and AusAEM maps. Within the Beetaloo GBA region, areas with higher potential for recharge to the Cambrian Limestone aquifer are those with the following conditions: A. Carpentaria Basin cover is thin, B. Carpentaria B sequence consists primarily of Carpentaria A sandstone, and C. there are areas with sinkholes at surface and other collapse features. These conditions are met in NW corner of Beetaloo GBA region. Areas with potential for recharge to Carpentaria Basin A sandstone aquifer, may occur where the Carpentaria Basin sandstone is partially saturated. Indirectly this may be a source of recharge to the underlying CLA as well. This area occurs in southern parts of the Beetaloo GBA region, where the Caprentaria sandstone is utilised as an aquifer.The rest of the  eastern Beetaloo probably has lower potential for recharge as Carpentaria Basin sediments tend to be dominated by clay and black shale, and can be very thick.  These areas need to be double checked against longterm water level data to confirm if any recharge is occurring.


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


## **History** 
Produced by interpreting Caprentaria thickness and sinkhole maps (see factsheet 5 available from https://www.bioregionalassessments.gov.au/gba for more  details).  Polygons were generated in ArcGIS from visual interpretation and stored in shapefile format.

Tags: Hydrogeology
Organization: Bioregional Assessment Program
Geological models for base and thickness of Carpentaria Basin derived from interpreted drillhole data for the Beetaloo GBA region


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Drillhole data was used to estimate the depth and thickness of the Carpentaria Basin where it overlies the Beetaloo GBA region. They were also used determine the occurrence of sand rich layers in the Carpentaria Basin. Models derived from drilhole data represent thickness and extent of Carpentaria basin sequence and overlying Cenozoic (when present). See Factsheet 6 for a comparison between AEM and drillhole data derived geological models for the Carpentaria and its implications for recharge potential. Fact sheets are available from https://www.bioregionalassessments.gov.au/gba.


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


## **History** 
The geological surface models were created by inteporlating point depth estimates from drillhole data using ArcGIS. Models derived from drillhole data represent the whole thickness of the Carpentaria basin sequence and overlying Cenozoic (when present).  See fact sheet 5 <insert fact sheet URL prior to approval/publication> for a comparison between AEM and drillhole data derived geological models for the Carpentaria and its implications for recharge potential.  This grid was interpolated using the Natural Neighbour method.

Tags: Hydrogeology
Organization: Bioregional Assessment Program
Actual evapotranspiration (ETa) from 2001 to 2019 for the Isa GBA region


## **Abstract** 
This dataset was produced by the Geological and Bioregional Assessment Program to assess vegetation water use characteristics in the Isa 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 the Isa 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 dataset 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
Cross sections for pathway


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program from multiple source datasets. Four cross-section lines were selected to develop conceptual models describing  connectivity pathways between the deep shale, tight and deep coal gas resource plays and assets at the surface.


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


## **History** 
From the conjunctive interpretation of footprint of the unconventional gas plays, orientation of the geological structures and position of the assets, four cross-sections were selected to develop conceptual models describing connectivity pathways between the deep shale, tight and deep coal gas resource plays and assets at the surface. These were created as a shapefile using vector development tools in ArcGIS v10.5 software.

Tags: geological interpretation
Organization: Bioregional Assessment Program
Cooper GW point data - salinity and hydrochemistry


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program from Geoscience Australia's groundwater bore database. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.


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


## **History** 
Pressure data compiled from petroleum well reports and PEP-SA database was converted to equivalent hydraulic head value. For wells that had equivalent Hydraulic head in the Hutton Sandstone, measurements in the well situated nearest to top of  Hutton Sandstone were then extracted from the equivalent hydraulic head dataset then converted to a shapefile for spatial analysis in ArcGIS.
In this Excel workbook, Pressure data compiled from Qld petroleum well reports for the Geological Bioregional Programme, as well as from PEP-SA database have been compiled in this spreadsheet. Pressure data was assessed for its suitability for conversion to an equivalent hydraulic head. Those passed QC were  then converted to equivalent hydraulic head value. This dataset includes a summary of all compiled pressure data from Qld and SA datasources, the formulas and parameters used to convert the pressures to an equivalent hydraulic head.
This Excel workbook, contains petroleum well formation test information, including pressure and temperature data that was compiled from Qld petroleum well completion reports for the Geological Bioregional Programme. Well completion reports were downloaded from QDEX. 
This Excel workbook, contains petroleum well formation test information, including pressure and temperature data that was extracted from PEPS-SA petroleum database for the Geological Bioregional Programme.

Tags: geophysical interpretation
Organization: Bioregional Assessment Program
Cape Denison Management Zone GIS Dataset

This GIS dataset is comprised of the boundary of the Visual Protection Zone at Cape Denison, Antarctica.

The data was created for the Management Plan for Historic Site and Monument No 77 and Antarctic Specially Managed Area (ASMA) No 3 produced by the Australian Antarctic Division in 2004.

The data is formatted according to the SCAR Feature Catalogue and is available for download (see Related URLS).

The boundaries of Antarctic Specially Protected Area (ASPA) No 162 and ASMA No 3 at Cape Denison in GIS format are part of the dataset described by the metadata record with Entry ID: aspas_asmas_aat. This is a GIS dataset with boundaries of ASPAs and ASMAs in the Australian Antarctic Territory.

Tags: AMD, AMD-AU, ASMA, ASPA, Antarctic Specially Managed Area, Antarctic Specially Protected Area, CEOS, CONTINENT - ANTARCTICA, EARTH SCIENCE - HUMAN DIMENSIONS - BOUNDARIES, EARTH SCIENCE - HUMAN DIMENSIONS - BOUNDARIES - ADMINISTRATIVE DIVISIONS, GEOGRAPHIC REGION - POLAR, Management Plans
Organization: Australian Antarctic Division
Interpreted seismic and well data confidence map


## **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** 
This dataset was created using manual editing proccessess and ArcGIS editing tools to create polygons to determine the confidence of prospectivity in the Cooper GBA region using the Cooper Basin Source Rock Atlas 2016/01/01 dataset.

Tags: geology
Organization: Bioregional Assessment Program
Winton outcrop polygons


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Areas of outcrop of Winton formation as defined by 1:1 million geological surface mapping. Contacts between Winton Formation and alluvium associated with minor drainage features were removed from the polygons, as in these areas the recent alluvium would be underlain by the Winton Formation. These polygons were then used as a template to modify the Cenozoic geological surfaces.


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


## **History** 
Outcrops of Winton polygons were extracted from 1:1 million geological surface mapping. These polygons were then smoothed to remove boundaries that represent edge of alluvium in minor drainage lines. These smoothed polgons were used to clip the Cooper GBA model grid surfaces of the Cenozioc and Eyre and Glendower Formations. Clipping polygons are required as Eyre and Glendower formations cannot be present where the Winton Formation outcrops.

Tags: GEOLOGY Mapping
Organization: Bioregional Assessment Program
Unconventional gas plays footprint within the Beetaloo GBA region


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program. Composite footprint map of geological units classified as unconventional gas plays: shale and tight gas and shale oil.


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


## **History** 
Composite footprint map of geological units classified as unconventional gas plays: shale and tight gas and shale oil, sourced from GA Regional Three-Dimensional Geological Model for the Beetaloo Sub-basin GUID: 9F604AFA-40E4-4E5A-91DD-0A695A3465A8

Tags: GEOLOGY Mapping
Organization: Bioregional Assessment Program
Mataranka Springs hydrochemistry time series


## **Abstract** 
This dataset contains the hydrochemical and environmental tracer data of a fortnightly time series and event-driven precipitation data between October 2019 and March 2021 created as part of the Geological and Bioregional Assessment Program (GBA) stage 3 in the Beetaloo Sub-basin. A total of 28 spring samples were collected and analysed for a number of parameters including hydrochemistry (major and minor ions) and the environmental tracers 222Rn, 18O, 2H. Samples are from Bitter Spring (2 locations), Rainbow Spring and Fig Tree Spring at Mataranka. Further 19 rainwater samples were taken at the ranger station in Mataranka and analysed for 18O & 2H. The data showed the variability of Fig-Tree Spring indicating that part of the water discharging is sourced from a swampy upstream area and flows to the spring along a short flow distance. Bitter Spring and Rainbow Spring show steady values hardly influenced by seasons and therefore have mean residence times above 4-5years. Significant values of helium above solubility equilibrium also indicate the presence of an older component, probably circulating on the time scale of centuries.


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


## **History** 
Samples were taken by Mataranka Rangers and sent by post to CSIRO Waite Campus, Adelaide for 222Rn measurement and to CDU in Darwin for 18O, 2H and hydrochemistry measurement. Alkalinity was measured by titration. Stable isotopes 2H and 18O of water were measured on a Picarro Cavity-Ring Down Laser Spectrometer, are calibrated versus VSMOW and given in the usual delta notation. Anions were measured by ion chromatography and cations by ICP-OES. Radon extraction followed the procedure outlined in Leaney & Herczeg (2006) and measurements were done using Liquid Scintillation Spectroscopy on a Quantulus Counter. Data are reported as measured without further post-processing.

Tags: Hydrochemistry, Stable isotopes
Organization: Bioregional Assessment Program
Bioregional_Assessment_Programme_Catchment-scale Land Use Management (CLUM)

## **Abstract** 

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



Catchment Scale Land Use Management (CLUM) compiled November 2012 (data ranges from 1997 to 2009, scale ranges from 1:25,000 to 1:250,000), The most current catchment scale land use dataset for Australia has been compiled using nationally agreed land use mapping principles and procedures of the Australian Land Use and Management (ALUM) Classification version 7. The land use datasets were collected as part of State and Territory mapping programs and the Australian Collaborative Land Use and Management Program (ACLUMP). The data vary in currency (1997 to 2009) and scale (1:25,000 to 1:250,000).

The updated dataset is a combined 50m raster for Australia and includes new data for Tasmania, Victoria, parts of southwest Western Australia and the following Queensland natural resource management regions: Wet Tropics, Burdekin, Mackay-Whitsunday, Burnett Mary and Fitzroy. While there is no new data for New South Wales, edge-matching errors have been corrected. 

All contributing polygon datasets were re-gridded and mosaiced to minimise resampling errors. NODATA voids were filled with Australian Bureau of Statistics meshblocks land use attributes with modifications based on 1:250,000 scale topographic data for built up areas published by Geoscience Australia in 2006, land tenure data compiled by the Bureau of Rural Sciences (BRS) in 2007, and native and plantation forest data compiled by BRS in 2007.

Full Metadata can be viewed within the dataset.

## **Dataset History** 

Beginning Date: 1997 Ending Date: November 2012 (Data provided as at November 2012 with actual currency of most recent data being 2009 - see Figure 1) Dates of the land use mapping vary across the country depending on when states/catchments/map sheets were mapped. Catchment scale mapping is produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. Mapping from many State and Territory agencies are combined and gridded at 50m.

## **Dataset Citation** 

Australian Bureau of Agricultural and Resource Economics and Sciences (2012) Bioregional_Assessment_Programme_Catchment-scale Land Use Management (CLUM). Bioregional Assessment Source Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/88995758-2993-405e-bd0b-a2001a6539e6.

Tags: Australia, Central West subregion, Cooper subregion, Galilee subregion, Gippsland Basin bioregion, Gwydir subregion, Hunter subregion, LAND-Use, Maranoa-Balonne-Condamine subregion, Namoi subregion, economy, planningCadastre
Organization: Bioregional Assessment Program
Cooper GBA region compromised aquitard integrity calculations


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Simulate the length along which a conservative solute can be transported along a fault in a period of 100 and 250 year before the concentration is less than 0.001 times the initial concentration. The calculation is based on the Grisak and Pickens (1980) equations. Create histogram of Nappamerri aquitard thickness for comparison. Full description in COO_v4_Compromised Aquitard Integrity available from https://gba-explorer.bioregionalassessments.gov.au/coo/7/34/0.


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


## **History** 
Refer to the ipython notebook in the zip file for details of the script with the associated equation and its implementation.

Tags: Solute Transport
Organization: Bioregional Assessment Program