AndreaBozzo/ceres-open-data-index huggingface dataset:
SSB Selected gauges annual flows v01

## **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 data is used for streamflow annual time series analysis for the Sydney subregion. It summarises the mean monthly flow characteristics including monthly streamflow ratio (monthly mean divided by annual mean) distribution, for the Sydney Basin bioregion based on the streamflow data from the 68 gauging stations. Also calculated are mean annual flow volumes summarising mean annual flows for a selection of gauging sites in each of the major river basins in the Sydney Basin bioregion.

## **Dataset History** 

This dataset was generated using daily streamflow data obtained from the Sydney Catchment Authority and BoM. A subset of gauges were used to represent the major river basins in the Sydney Basin bioregion. Selection was based on gauges with the most number of days of data and the start and end dates vary across the sites. Data are collected at sites with very small contributing areas (a few square kilometres) through to sites with large contributing areas (thousands of square kilometres), hence there is considerable variability in the mean annual flows. Many of the gauges, particularly in the Hawkesbury and Shoalhaven river basins, are downstream of dams and their flow regimes will differ from pre-dam flows.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) SSB Selected gauges annual flows v01. Bioregional Assessment Derived Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/dedc652b-a9f3-4c05-bf06-9bd87e85f6ca.

## **Dataset Ancestors** 

* **Derived From** [SYD ALL Raw Stream Gauge Data BoM v01](https://data.gov.au/data/dataset/b2cfd949-3ef0-4d2e-98c2-120f11b32be4)

* **Derived From** [SYD ALL Unified Stream Gauge Data v01](https://data.gov.au/data/dataset/fbcf2377-fc55-489e-a432-c7fa430efbd6)



Tags: New South Wales, Sydney Basin bioregion, environment, inlandWaters
Organization: Bioregional Assessment Program
Local Government Areas of Australia

## **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 digital boundaries for this edition of the ASGC are consistent with the spatial units described in the structures of the ASGC 2011. Date of effect of this edition is 1 July 2011. Digital boundaries are for Statistical Local Area (SLA), Statistical Subdivision (SSD), Statistical Division (SD), Local Government Area (LGA), Statistical District (SDIST), Major Statistical Region (MSR), Statistical Region (SR), Statistical Region Sector (SRS) and State/Territory (STE).



This is the final edition of the ASGC. To assist in the transition to the new Statistical Geography, the Australian Statistical Geography Standard (ASGS), the 2011 SLAs have been aggregated up from the 2011 Mesh Blocks (MB). The 2011 MBs are also the building blocks for the 2011 ASGS.

## **Dataset History** 

MB boundaries are aggregated up to form the 2011 SLA boundaries. The MB boundaries

were created using various sources including the PSMA digital topographic datasets and

ABS SLA boundaries, zoning information from state planning agencies and imagery.

Higher level spatial units are aggregated from the SLA level.

## **Dataset Citation** 

Australian Bureau of Statistics (2011) Local Government Areas of Australia. Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/1d139f3a-fc76-4717-863c-3689413ee9c0.

Tags: Australia, BOUNDARIES-Administrative, Gloucester subregion, Hunter subregion, Sydney Basin bioregion, boundaries
Organization: Bioregional Assessment Program
SSB Storages Point Locations V01

## **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 dataset includes two shapefiles consisting of point and polygon locations of selected dams in the Sydney Basin Bioregion. The data were used to show the locations of these dams in maps. Polygon data were used to create points, as described in the History field, that could be shown and labelled in maps for context.

## **Purpose** 

For display on report map images

## **Dataset History** 

Selected Dam wall (line) features were taken from the 1:250k topographic data Infrastucture theme (see lineage) and converted to a line midpoint (ArcGIS feature conversion polyline to point). Two of the dams needed to be displayed were not found in the 1:250k topographic data. Medway Dam location spatial co-ordinates were sourced from the 2010 Gazetteer (see lineage). Bundanoon dam location was ascertained from Google Earth imagery. Point features for both these dams were manually edited in and appended to the 1:250k topographic data derived dam location data.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) SSB Storages Point Locations V01. Bioregional Assessment Derived Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/39b3ca3a-e421-4c68-9499-50c2e9ab2334.

## **Dataset Ancestors** 

* **Derived From** [Gazetteer of Australia 2010](https://data.gov.au/data/dataset/67dc76bb-e8e5-4541-ac72-8f21a4f312fd)

* **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)



Tags: New South Wales, Sydney Basin bioregion, inlandWaters
Organization: Bioregional Assessment Program
ASRIS Australian Soil Classification - Dominant Soil Order (250m raster)

## **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 is a 'best of' dataset of dominant soil order according to the Australian Soil Classification. ASRIS level 5, level 4, level 3 and the Digital Atlas of Australian Soils vector datasets are combined (stated order is the order of preference) to produce a composite soil attribute raster dataset (250m). The ending date shows the time at which the data was extracted from ASRIS.

## **Dataset History** 

The data held in ASRIS are sourced from state/territory and federal agency soil surveys. The type of data collected for soil surveys are quite varied and depend on the requirements of a particular study, but also rely on the available resources at the time of the survey. Level 5 is the most detailed polygon mapping, with soils usually mapped at 1:100 000 or better detail. Level 4 polygons come from surveys mapped at around 1:250 000, typically land systems mapping. Level 3 polygons come from surveys mapped at around 1:1 000 000 and the Atlas of Australian Soils is mapped at approximately 1: 2 000 000. 



A depth weighted soil attribute mean is calculated for all input datasets. All the input datsets are rasterized and stored in the GDA94 geographic coordinate system and cells are 0.0025 degrees which is roughly 250m. The soil attribute value for the dataset is taken from the cell centre for ASRIS level 5 (if available), then level 4, then level 3 and if no data exists for this cell the data is taken from the Atlas of Australian Soils.

## **Dataset Citation** 

CSIRO (2012) ASRIS Australian Soil Classification - Dominant Soil Order (250m raster). Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/d6b0c5c7-37d0-4832-b5b1-53cb7eeb3cd7.

Tags: Australia, Central West subregion, Clarence-Moreton bioregion, Gloucester subregion, Gwydir subregion, Hunter subregion, Maranoa-Balonne-Condamine subregion, Namoi subregion, SOIL, Sydney Basin bioregion, geoscientificInformation
Organization: Bioregional Assessment Program
Acid Sulfate Soil Risk Data

## **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.



This project has mapped the occurrence of Acid Sulfate Soils (ASS) along the coast of NSW and provides information that will assist land management and rehabilitation. In their natural state, these soils are submerged but when exposed or drained, they become oxidised and sulphuric acid is produced. This reduces soil fertility, kills vegetation and reduces fish populations. The identification of the location and extent of potential acid sulphate soils (PASS) is the essential first step in managing this problem. 128 map sheets were mapped for risk of occurrence of ASS at a scale of 1:25,000. This project was co-funded by the Natural Resources Audit Council (NRAC), and was revised in 1997.

## **Dataset History** 

The maps predict the distribution of Acid Sulfate Soils (ASS) based on an assessment of the geomorphic environment. This assessment has involved mapping of the environments in which they are likely to be found, being the coastal lowlands up to approximately 10m AHD and carrying out fieldwork to establish field relationships between landform, elevation and occurrence of ASS. Landform elements were used as the basic mapping unit. These provide a basis for land use planning and allow the application of elevation classes so that the depth of occurrence of ASS within a landform element can be estimated. It allows the prediction of soil management problems in other areas with similar landform and soil characteristics. ASS maps are not intended to provide site specific ASS information. The information derived from the maps cannot be used in the assessment of the potential to effectively manage ASS in a particular development. When using ASS maps, it must always be remembered that that there can be expected to be extreme variations in the nature and distribution of of ASS and that the depth to the ASS layer can be highly variable. The depths given in the map key should be used as a guide only and not used for a specific assessment of development potential. It is recommended that all land use activities likely to disturb ASS require appropriate soil investigations and a management plan to avoid environmental degradation.Metadata imported.C:\Program Files\ArcGIS\Metadata\ANZMeta\Thesaurus\temp.xml2008090911100000Metadata imported.D:\SDC\metadata\NSW_ACIDRISK.xml2008090911125700

## **Dataset Citation** 

NSW - Department of Environment and Heritage (2010) Acid Sulfate Soil Risk Data. Bioregional Assessment Source Dataset. Viewed 07 April 2016, http://data.bioregionalassessments.gov.au/dataset/8209e37a-5f5e-4d07-bd54-851ce1167797.

Tags: Clarence-Moreton bioregion, geoscientificInformation, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
Current Exploration Permits for Coal - Queensland

## **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 boundaries of application and granted Exploration Permits for Coal (EPC) in Queensland.

## **Purpose** 

Display the boundaries, relivant dates and name of principal holders of all application and granted Exploration Permits for Coal (EPC) in Queensland

## **Dataset History** 

The data is automatically updated every night from the Department's MERLIN tenures system. Updated data available at http://dds.information.qld.gov.au/dds/

## **Dataset Citation** 

Department of Natural Resources and Mines (2014) Current Exploration Permits for Coal - Queensland. Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/bad6414a-a3b6-4982-af9f-7a62c388d862.

Tags: Cooper subregion, economy, geoscientificInformation
Organization: Bioregional Assessment Program
Streamflow characteristics and base flow data for the Gloucester subregion

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from NSW Streamflow data. The source dataset is 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 dataset include six unified 6-category daily streamflow files, six base flow files, two xlsx files, and four scripts for generating intermediate dataset and plotting.



Each unified 6-category daily streamflow file was generated using the MATLAB script "Streamflow_QA_QC.m". The six categories are good, fair, poor, unverified, missing, and non-conformed.



Each daily base flow file was generated using the MATLAB script "Baseflow_characteristics.m".



Annual and monthly streamflow characteristics data were generated using the MATLAB script "Streamflow_characteristics.m".



Data gaps were calculated using the MATLAB script "Streamflow_QA_QC_Gap_Statistics.m'.



The xlsx file "BA-Excel-Gloucester_v02.xlsx" was used to plot monthly streamflow distribution (Figures 28-29 in the context statement), annual flow time series (Figures 30-31 in the context statement) and base flow index time series (Figures 32-33 in the context statement).



The xlsx file "Gap_Stastical.xlsx" summaries streamflow data gaps for the six gauges.

## **Dataset History** 

The New South Wales Office of Water (NOW) provides to the Bureau of Meteorology a copy of their hydstra surface water database. The last extract was received in July 2013. 

Data was extracted from the Hydstra format to .csv files for surface water sites within the Gloucester sub-region as requested by the Gloucester project team.

Quality codes  have been included.

Where surface water quality data is available, this is included on a separate tab for each gauging station



The intermediate data was generated using the MATLAB scripts (these are stored within the data set) and was used to plot streamflow characteristics, i.e. monthly streamflow distribution, annual streamlfow time series, and baseflow index time series.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) Streamflow characteristics and base flow data for the Gloucester subregion. Bioregional Assessment Derived Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/eaa72951-7b83-4531-bd4b-0f25f2b12e1b.

## **Dataset Ancestors** 

* **Derived From** [NSW Streamflow data obtained from Office of Water for the Gloucester subregion](https://data.gov.au/data/dataset/2a0ffdb6-1022-450d-96f1-88bfd9583863)



Tags: Gloucester subregion, inlandWaters
Organization: Bioregional Assessment Program
Riparian Enhanced Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin, 50m Buffer for analysis, v01

## **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 derived dataset are described in the History field in this metadata statement.



This dataset provides a 50m buffer of all streams contained within the Riparian Enhance Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin dataset (GUID: 156d3951-e4f3-4d34-89eb-23158604afbe).



From source dataset: This dataset shows river reaches with riparian vegetation potentially intersecting shallow groundwater in the Great Artesian Basin (excluding the coastal areas and Cape York Peninsula).



No effort has been made to distinguish regulated (streams fed from upstream storage) and unregulated rivers and areas of irrigation. This dataset should not be considered where the river is a regulated system or used for irrigation.

## **Dataset History** 

A 50m buffer was produced around each stream feature within the source dataset (Riparian Enhance Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin - GUID: 156d3951-e4f3-4d34-89eb-23158604afbe).



A copy of this data was then reprojected to the GDA_1994_Australia_Albers (WKID: 3577 Authority: EPSG) coordinate system.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Riparian Enhanced Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin, 50m Buffer for analysis, v01. Bioregional Assessment Derived Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/cd9c7478-bbbe-4839-9c0e-546d751b445c.

## **Dataset Ancestors** 

* **Derived From** [National Dynamic Land Cover: Trend in the annual Enhanced Vegetation Index (EVI) from 2000 to 2008](https://data.gov.au/data/dataset/f6951ba7-8968-4f64-9d38-1ed1a25785a0)

* **Derived From** [Revised Great Artesian Basin Jurassic-Cretaceous sequence boundary (GABWRA)](https://data.gov.au/data/dataset/de5b48e6-f4ac-4278-9653-cbfa72fbb9c2)

* **Derived From** [Riparian Enhanced Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin](https://data.gov.au/data/dataset/156d3951-e4f3-4d34-89eb-23158604afbe)

* **Derived From** [Great Artesian Basin Boundary, Subregions and Cartographic Mask (GABWRA)](https://data.gov.au/data/dataset/241d11ac-649d-46a5-8cae-3dddb53a8010)

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



Tags: Australia, Cooper subregion, Galilee subregion, biota, inlandWaters
Organization: Bioregional Assessment Program
Wetland protection area - high ecological significance wetland

## **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.



Wetlands of high ecological significance (HES) identify areas where policies apply under the State Planning Policy 4/11: Protecting Wetlands of High Ecological Significance in Great Barrier Reef Catchments. They are an integral part of wetland protection areas, which are defined in the Environmental Protection Regulation 2008.HES wetlands within the Great Barrier Reef catchments provides the basis for DERM's concurrence agency role for development involving high impact earthworks within wetland protection areas under the Sustainable Planning Regulation 2009.

## **Purpose** 

Wetlands of high ecological significance (HES) identify areas where policies apply under the State Planning Policy 4/11: Protecting Wetlands of High Ecological Significance in Great Barrier Reef Catchments.

Identification of HES wetlands within the Great Barrier Reef catchments has been determined using the Department of Environment and Resource Management's (DERM) rigorous Aquatic Biodiversity Assessment and Mapping Methodology (AquaBAMM).Wetland protection areas, which are defined under the Environmental Protection Regulation 2008, include HES wetlands and a surrounding policy trigger area of up to 100 metres in urban areas and up to 500 metres outside of urban areas. HES wetlands within the Great Barrier Reef catchments provides the basis for DERM's concurrence agency role for development involving high impact earthworks within wetland protection areas under the Sustainable Planning Regulation 2009.

## **Dataset History** 

Lineage statement:

The wetlands were selected from the Aquabamm GBR non-riverine Version 1.3 data and Wide Bay Burnett non-riverine Version 1.1 data on the basis of the Aqua score (item: AS_SCORE) of "high" or "Very high" (hence HVH). This dataset was then refined by a set of decision rules, which removed those wetlands with a Hydromod (item:FIRST_HYDR) classification of H2M1, H2M3 & H2M5. Wetlands with a Hydromod of H2M8 were selected from the Queensland Wetlands dataset 2001 version 1 and added to the data as these were not covered by the Aquabamm process in the GBR region.Also Qld Springs data, springs selected as HES under the AES methodology, with a 200m buffer around them have been included.



See metadata file included as part of this dataset: Metadata_IQ_QLD_WPAWETLANDS_100K_A.htm

## **Dataset Citation** 

Queensland Department of Environment and Heritage Protection (2014) Wetland protection area - high ecological significance wetland. Bioregional Assessment Source Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/3ea44427-c4c5-440e-87d7-9393ba7c33fb.

Tags: Clarence-Moreton bioregion, ECOLOGY, Maranoa-Balonne-Condamine subregion, Queensland, biota, environment
Organization: Bioregional Assessment Program
Elevation (m AHD)1

## **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.

Interpretation of the extent of the Arckaringa Basin at time of issue.

## **Purpose** 

The data file is used to indicate the location and understood outer extent of the Arckaringa Basin at the time of issue. Basement highs (or inliers) that puncture the extent of Arckaringa Basin sediments are not displayed in this file.

## **Dataset History** 

The outer extent of the Arckaringa Basin has been interpreted from outcrop geology mapping as provided by the South Australian Government Department of State Development (DSD) from there online SARIG database, seismic data that was either collected by or provided to the DSD for record-keeping and regulatory requirements, as well as vetted downhole geological logging data as stored in the South Australian Government managed geoscientific database SA_Geodata.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Elevation (m AHD)1. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/85dfc71b-a65a-4d71-b6fd-b64cf37f86c0.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
CLM - Toonumbar and Rocky Creek dam storage volumes derived from height

## **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. 



Dam storage volumes estimates for Toonumbar Dam (Toonumbar), and Rocky Lake (Rocky Creek Dam)

## **Purpose** 

To allow calculation of storage volume summaries in the Richmond River catchment

## **Dataset History** 

Used the concurrent height and volume values for part of the time series, to construct a regression relationship.  This was used to estimate volume for the entire time-series based on the height measurements.  We did not take into account any changes to the storage as a result of sediment infill or other changes.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) CLM - Toonumbar and Rocky Creek dam storage volumes derived from height. Bioregional Assessment Derived Dataset. Viewed 07 April 2016, http://data.bioregionalassessments.gov.au/dataset/45f5fc9e-e89a-4803-ba27-7d805e66cb50.

## **Dataset Ancestors** 

* **Derived From** [Water levels Selected Dam Storages Time Series NSW BOM CLM 20150327](https://data.gov.au/data/dataset/327a70dd-6498-4c8f-9308-bc4a366b66ad)



Tags: Clarence-Moreton bioregion, inlandWaters
Organization: Bioregional Assessment Program