AndreaBozzo/ceres-open-data-index huggingface dataset:
Gloucester Groundwater Quality 20150106

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme 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.



The aim of deriving this dataset was to be able to estimate groundwater quality and location of each groundwater bore with respect to the water source area in the Gloucester subregion. An estimation of groundwater salinity is made based on the total dissolved solids (TDS) values reported in the original data sets provided by the NSW Office of Water. This has been clipped to the Gloucester subregion.



A spatial dataset (point shapefile GLO_Bore_extractions.shp) has been derived from this data for report map purposes. Also the point TDS values have been interpolated into surfaces (separate Aquifer and Fractured Rock).



These spatial data derivations are also included in the dataset.

## **Dataset History** 

Bore locations in the Gloucester NGIS Bores database that were spatially located withing the Gloucester subregion boundary were extracted and filed.



Bores with groundwater quality in the NSW Office of Water Groundwater Quality extract 28_nov_2013 database that were spatially located withing the Gloucester subregion boundary were extracted and filed.



Based on the salinity/electrical conductivity values reported in the NSW Office of Water Groundwater Quality extract 28_nov_2013 database, total dissolved solids values were estimated and filed.



Bore were classified as "alluvium" and "fractured rock" based on depth of the bore from the surface as reported in the Gloucester NGIS Bores database. Bore with a depth less than 15 m and between 15m to 150 m were classified as alluvium and fractured rock bores respectively.



Bore points were separated into "alluvium" and "fractured rock" and their TDS values interpolated (ArcGIS TOPOGRID Spline) into two respective TDS surfaces. Surface extent was constrained to an arbitrary envelope around the data points. The interpolation bounding polygons are also included in this dataset as shapefiles.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Gloucester Groundwater Quality 20150106. Bioregional Assessment Derived Dataset. Viewed 14 June 2016, http://data.bioregionalassessments.gov.au/dataset/32cea193-791e-48aa-9341-4c9ec311a678.

## **Dataset Ancestors** 

* **Derived From** [NSW Office of Water Groundwater Quality extract 28_nov_2013](https://data.gov.au/data/dataset/74da836a-7b97-4278-9034-c9a259a34fbb)

* **Derived From** [Gloucester NGIS bores](https://data.gov.au/data/dataset/e14ca3f6-6a49-4bd2-95b9-3fef6420bf49)

* **Derived From** [National Groundwater Information System (NGIS) v1.1](https://data.gov.au/data/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7)



Tags: Gloucester subregion, New South Wales, environment, geoscientificInformation
Organization: Bioregional Assessment Program
Phreatic Standing Water Level Points at 10m Intervals - PED

## **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.

Points at 10m intervals of the SWL depths to the phreatic groundwater zone.

## **Purpose** 

To represent SWL depths to the phreatic groundwater zone at 10m intervals.

## **Dataset History** 

All drillholes with recorded construction information, water cut and static water level (SWL) information within the study area were extracted from the South Australian Government Geological database SAGeodata.

As a first pass, the first water cut was compared to the SWL - if the SWL was lower than the first water cut, the SWL was accepted. If the SWL was more elevated than the first water cut, further analysis was undertaken.

Further analysis involved reviewing the construction details of the well. If either a) the top of the well screen was more elevated than the SWL, b) the well screen included the first water cut or c) the well was open, the SWL was accepted as phreatic. However, if a) the well was artesian b) the screen did not cover the first water cut interval or b) no construction information was available, the well was rejected.

Finally, in order to both ensure adequate well coverage and to limit the amount of work undertaken, phreatic surfaces that included SWL that appeared slightly sub artesian were calculated and compared. In areas of adequate well coverage, minimal difference was not between wells where there was a 1, 5 and 10m sub-artesian difference between the first water cut and the SWL. Consequently, a margin of error of +10m was allowed for wells with SWL's more elevated than the recorded water cut.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Phreatic Standing Water Level Points at 10m Intervals - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/9305b01d-a3e6-4182-a1eb-d6933d697a2c.

Tags: Pedirka subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Northern Territory Rainfall Station Sites - PED

## **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.

Data shows location of Burea of Meteorology (BoM) rainfall stations (current and historic) in Pedirka Subregion.

## **Purpose** 

To display the availability of rainfall data capture across the subregion.

## **Dataset History** 

Data set derived from the BOM Weather Station Directory (http://www.bom.gov.au/climate/data/stations/). Rainfall Monitoring Sites is a spatial dataset that has generated a range of statewide rainfall datasets around 2002.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Northern Territory Rainfall Station Sites - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/ac976b66-9646-41b3-8a4a-6907290bc9a2.

Tags: Pedirka subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Permian Outcrop Northern Territory - PED

## **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 Surface Geology of Australia 1:1M scale dataset (2012 edition) is a seamless national coverage of outcrop and surficial geology, compiled for use at or around 1:1 million scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith material covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information regarding stratigraphic nomenclature and hierarchy, age, lithology, and primary data source. The dataset also contains geological contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice bodies.  This file is an extract of geological unit outcrops for Crown Point Formation in the vicinity of the Pedirka Basin within the Northern Territory.

## **Purpose** 

This file is used to indicate the occurrence and extent of outcropping Crown Point Formation rocks, in the vicinity of the Pedirka Subregion.

## **Dataset History** 

Selection from 1:1M surface geology of Australia (Custodian: Geoscience Australia) showing surface extent of the Crown Point Formation.  The 2012 dataset has been updated from the previous 2010 data by updating geological unit data to 2012 information in the Australian Stratigraphic Units Database (http://www.ga.gov.au/products-services/data-applications/reference-databases/stratigraphic-units.html), incorporating new published mapping in the Northern Territory and Queensland, and correcting errors or inconsistent data identified in the previous edition, particularly in the Phanerozoic geology of Western Australia. The attribute structure of the dataset has also been revised to be more compatible with the GeoSciML data standard, published by the IUGS Commission for Geoscience Information. Original Geosciences Australia dataset name; GeologicalUnits_1m_Polys_PED.shp

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Permian Outcrop Northern Territory - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/8e71c750-bc7a-44cf-8a37-7441b1c02fda.

Tags: Pedirka subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Outback Region Rated Species Mammals - PED

## **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.

Shows the locations of species rated as having 'conservation significance' in the Outback region in South Australia (Gillam and Urban 2013) and have been recorded in the Biological Database of South Australia or the Atlas of Living Australia. Note there is no equivalent regional rating in the Northern Territory.

## **Purpose** 

To indicate the locations of species that are rated as having 'conservation significance' in the Outback region.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka subregion. Ratings; Gillam S and Urban R (2013) Regional Species Conservation Assessment Project, Phase 1 Report: Regional Species Status Assessments, Outback Region. Department of Environment, Water and Natural Resources, South Australia. The locational information for biological survey sites is collected in a number of formats, with older surveys in the pastoral region being read from maps at various scales (may be up to 1:250,000) and newer surveys using GPS. Note there is no equivalent regional rating in the Northern Territory.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Outback Region Rated Species Mammals - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/680dcfe6-e8b4-4703-9d62-3dcb187476f4.

Tags: Pedirka subregion, biota
Organization: Bioregional Assessment Program
Rainfall Monitoring Sites - 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.

Data shows location of BoM climate stations in Arckaringa Subregion.

## **Purpose** 

Demonstrates the breadth of rainfall data capture across the subregion.

## **Dataset History** 

Rainfall Monitoring Sites is a spatial dataset that was generated from tabular data provided by the Bureau of Meteorology back in the early 2000s.  This dataset was used to generate a range of statewide rainfall datasets around 2002.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Rainfall Monitoring Sites - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/9fa56cfd-39a0-4771-abbe-944516846c93.

Tags: Arckaringa subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Monitoring Networks - 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.

These points represent the spatial location of monitoring network points.

## **Purpose** 

Groundwater modelling, assessment and licencing.

## **Dataset History** 

Monitorinig Network points were extracted from WATER.GW_PROJECTS layer which is originally derived from the authoritative source (SAGEODATA).

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Monitoring Networks - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/cf6a653c-0358-4f8f-8046-a540f03349c3.

Tags: Arckaringa subregion, location
Organization: Bioregional Assessment Program
Eromanga Basin - South Australia and Northern Territory - 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.

The extent of Eromanga SANT shapefile is one of a number of data files developed as part of the Australian Government funded research program entitled âAllocating Water and Maintaining Springs in the GABâ.

http://archive.nwc.gov.au/library/topic/groundwater/allocating-water-and-maintaining-springs-in-the-great-artesian-basin

## **Purpose** 

The data file is used to indicate the location and understood extent of the Eromanga Basin including the bulk of the Eromanga sedimentary package, except outliers and disconnected sediments.

## **Dataset History** 

Digital copies of seismic lines, around the western margins of the Eromanga Basin, were loaded into a Geoquest workstation for interpretation.   Due to the sparcity of lines, lack of suitable ties and large distances between data sets, picks were mostly done by eye.  These picks are simple and can be considered correct in the broad sense. Converting the two way time data from the Geoquest interpretation proved too erratic to be useful. Seismic time data was imported from Geoquest to Petrosys mapping system. In Petrosys, bore tops and outcrop elevations were gridded and contoured.  The resulting contour maps were examined for realism and consistency and anomalous tops and areas were reviewed.  This was an ongoing process. Geological trends from the seismic were incorporated, also known and inferred fault planes. An extensive series of edits and checks was undertaken until a satisfactory geological map was accomplished.  That is, the contours were geologically reasonable, matched all bore and other tie points, followed trends from seismic and merged with previous data based mapping logically and smoothly.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Eromanga Basin - South Australia and Northern Territory - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/66bb39ba-c29c-435e-8b32-efd305cfe887.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
MBC subregion cartographic mask

## **Abstract** 

This dataset was derived by the Bioregional Assessment Programme. The parent dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this dataset are described in the History field in this metadata statement.



This dataset provides a cartographic layer to mask out features which lie outside the Maranoa-Balonne-Condamine subregion.

## **Purpose** 

This dataset is for cartographic use only.

## **Dataset History** 

The following steps were followed to produce thepolygon shapefile within this dataset: 

1. An arbitrary rectangular shapefile was created with the following extent.

    N: 22.2047642556814

    W: 143.552566771964

    E: 156.041398637019

    S: -33.0094380997834

2. Using the 'Erase' tool in ArcGIS (System Toolboxes > Analysis Tools > Overlay), the Maranoa-Balonne-Condamine subregion (Bioregional Assessment areas v06, GUID: 54d7cc96-5129-450a-aef4-73197f9bc09d) was cut from the rectangular polygon

## **Dataset Citation** 

Bioregional Assessment Programme (2016) MBC subregion cartographic mask. Bioregional Assessment Derived Dataset. Viewed 05 July 2017, http://data.bioregionalassessments.gov.au/dataset/0e3c5d0c-6ac9-461e-a106-90e53478440d.

## **Dataset Ancestors** 

* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)

* **Derived From** [Gippsland Project boundary](https://data.gov.au/data/dataset/27413de5-d13a-4231-ac79-fc77f4cbb5f7)

* **Derived From** [Bioregional Assessment areas v04](https://data.gov.au/data/dataset/e8a2d577-c5c5-4e2c-b0fa-53e4b2d4a034)

* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)

* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)

* **Derived From** [Victoria - Seamless Geology 2014](https://data.gov.au/data/dataset/2872d02e-66cb-42b6-9e5a-63abc8ad871b)

* **Derived From** [Bioregional Assessment areas v05](https://data.gov.au/data/dataset/25f89049-839d-4736-bd81-97d8e8a40f8e)

* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)

* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)

* **Derived From** [NSW Catchment Management Authority Boundaries   20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)

* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)

* **Derived From** [Bioregional Assessment areas v06](https://data.gov.au/data/dataset/54d7cc96-5129-450a-aef4-73197f9bc09d)



Tags: Maranoa-Balonne-Condamine subregion, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
Minor Watercourse - 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.

Data layer contains a medium scale vector representation of the national drainage network.

## **Purpose** 

National topographic purposes.

## **Dataset History** 

GEODATA TOPO 250K Series 3 is primarily sourced from GEODATA TOPO 250K Series 2 and 1:250 000 scale map reproduction material (from the National Topographic Map Series and Defence Joint Operation Graphics). A key revision source for the data is satellite imagery taken from the SPOT Panchromatic and LANDSAT Thematic Mapper Sensors. Revision material has also been gathered from a variety of authoritative sources. More information about the sources for this data can be found in Geoscience Australia's Topographic Data and Map Specifications.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Minor Watercourse - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/093dc7e5-fe5c-43ad-8bbb-bbfb170a7c21.

Tags: Arckaringa subregion, inlandWaters
Organization: Bioregional Assessment Program
JK Aquifer - South Australia and Northern Territory - 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.

The extent of JK Aquifer SANT shapefile is one of a number of data files developed as part of the Australian Government funded research program entitled âAllocating Water and Maintaining Springs in the GABâ.

## **Purpose** 

The JK Aquifer in this instance represent all rocks interpreted and mapped as the stratigraphic units the Cadna-owie Formation (Knc) and the Algebuckina Sandstone (JK-a) as well as units mapped as a potentially being one of these formations (JK1).

## **Dataset History** 

Digital copies of seismic lines, around the western margins of the Eromanga Basin, were loaded into a Geoquest workstation for interpretation.   Due to the sparcity of lines, lack of suitable ties and large distances between data sets, picks were mostly done by eye.  These picks are simple and can be considered correct in the broad sense. Converting the two way time data from the Geoquest interpretation proved too erratic to be useful. Seismic time data was imported from Geoquest to Petrosys mapping system. In Petrosys, bore tops and outcrop elevations were gridded and contoured.  The resulting contour maps were examined for realism and consistency and anomalous tops and areas were reviewed.  This was an ongoing process. Geological trends from the seismic were incorporated, also known and inferred fault planes. An extensive series of edits and checks was undertaken until a satisfactory geological map was accomplished.  That is, the contours were geologically reasonable, matched all bore and other tie points, followed trends from seismic and merged with previous data based mapping logically and smoothly.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) JK Aquifer - South Australia and Northern Territory - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/5f1269ba-028a-46a8-812e-3c1b042b1d02.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Registered and Notified Indigenous Land Use Agreements (ILUA) - agreement boundaries and core attributes about agreement - 01/03/2014

## **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.



This dataset reflects the boundaries of those Indigenous Land Use Agreements (ILUA) that have entered the notification process or have been registered and placed on the Register of Indigenous Land Use Agreements (s199A, Native Title Act; Commonwealth). This is a national dataset. Aspatial attribution includes National Native Title Tribunal number, Name, Agreement Type, Proponent, Area and Registration Date.

## **Dataset History** 

Lineage:

Created by the National Native Title Tribunal in 1998 and continuously updated and maintained.

Positional accuracy:

0.1 m

Attribute accuracy:

Attributes are maintained continuously and should at all times reflect the primary detail as contained within the Register of ILUA's.

Logical Consistency:

Technical or unintentional overlaps between boundaries may arise within this dataset. Technical overlaps include portions of boundaries of determinations that are intended to abut but which overlap. These overlaps may be caused by changes in source datasets used to create initial application boundaries or by differing interpretations of determination descriptions. Part of the maintenance program of this dataset is the identification and removal of such technical overlaps.

Completeness:

Ongoing



https://data.gov.au/data/dataset/eb8caa51-a883-4e87-907d-fea1a4a054f1

## **Dataset Citation** 

Geoscience Australia (2014) Registered and Notified Indigenous Land Use Agreements (ILUA) - agreement boundaries and core attributes about agreement - 01/03/2014. Bioregional Assessment Source Dataset. Viewed 05 July 2017, http://data.bioregionalassessments.gov.au/dataset/cb9ce027-92e9-4e47-8816-b7f362d86342.

Tags: Australia, Cooper subregion, planningCadastre
Organization: Bioregional Assessment Program