AndreaBozzo/ceres-open-data-index huggingface dataset:
BA ALL Assessment Units 1000m Reference 20160516_v01

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.



A 1000 m \* 1000m Reference vector grid (clipped by a overview polygon to increase processing and rendering efficiency) over the entire Bioregional Assessment Bioregions/Preliminary Areas of Extent (using the boundary that is largest) starting at the whole km to ensure grid lines fall exactly on the whole km. This grid is intended as the template for standardized assessment units for the following bioregional assessment regions:

Hunter

Namoi

Clarence-Moreton

Galilee

To ensure efficiency each of the above Assessments have their own grid and extent created from this master vector grid template, (please see Lineage).

The unique ID field for each grid cell is AUID and starts from 1. The grid also has a column id and row for easy reference.

The grid is in Australia Albers (GDA94) (EPSG 3577)

## **Purpose** 

This is an attempt to standardise (where possible) outputs of models from BA assessments and is a whole of BA template for the groundwater and potentially surface water teams of the above mentioned assessment areas.

## **Dataset History** 

This dataset is an attempt to improve the efficiency of rendering and processing using the Assessment Units grid.



This dataset is a clipped version of the source vector grid dataset by a surrounding polygon such that all Bioregional assessment regions are included (with the exception of Gippsland Basin bioregion).



The R001_C001 row and column ID from the source AUID - Assessment Unit vector grid has been preserved in this version.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) BA ALL Assessment Units 1000m Reference 20160516_v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/d044b1d9-40b0-4fc3-ae43-099cc7b96497.

## **Dataset Ancestors** 

* **Derived From** [BA ALL Assessment Units 1000m 'super set' 20160516_v01](https://data.gov.au/data/dataset/6c1aa99e-c973-4472-b434-756e60667bfa)



Tags: Australia, BOUNDARIES-Biophysical, Galilee subregion, Hunter subregion, Namoi subregion, imageryBaseMapsEarthCover, location
Organization: Bioregional Assessment Program
NSW Wetlands

## **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 purpose of this project was to map the wetlands across New South Wales. Wetlands were identified using a combination of classification of spectral classes of Landsat MSS and TM imagery and ancillary wetland information to create information classes of broad wetland groups (floodplain wetlands, freshwater lakes, saline lakes, reservoirs, estuarine wetlands and coastal lagoons and lakes). The data will then be used to assess the wetland resource in each catchment.

## **Dataset History** 

The wetlands of the inland catchments were identified using unsupervised classification of Landsat MSS imagery on the basis of the presence of water. The wetlands of the coastal catchments were mapped with Landsat TM imagery. Wetlands were identified using a band 5 slice In both instances the thematic grid was vectorised using Arc/Info. Wetland areas were grouped a posteriori using ancillary attribute data such as aerial survey of wetland data, 1:250000 hard copy maps sheets, AUSLIG 250K waterbody theme, existing wetland maps. Each Landsat image scene was geometrically rectified and geocoded to UTM coordinates using topographic maps- 1:250000 scale for the inland catchments and 1:25,000 for the coastal catchments. A Root Mean Square Error of less than one was achieved for each image.Arc/Info was used to do topological consistency checks to detect flaws in the spatial data structure and to identify them as errors. This check ensures that all classified polygons are closed, nodes are formed at the intersection of lines, and that there is only one unique label within each. Multiple and dangling lines were also edited. All polygons were visually checked by draping over Landsat imagery using ERDAS Imagine to ensure that polygons were correctly coded.Both the unsupervised classification and band 5 slice is reliant on imagery being acquired at a wet period (some areas may have been missed because of dry imagery and/or cloud cover). Accuracy assessment was performed on both coastal and inland mapping.

## **Dataset Citation** 

"NSW Department of Environment, Climate Change and Water" (2010) NSW Wetlands. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/90476e12-77a2-4970-a0be-942eeb84e95e.

Tags: Central West subregion, Clarence-Moreton bioregion, Gwydir subregion, Hunter subregion, Maranoa-Balonne-Condamine subregion, New South Wales, Sydney Basin bioregion, inlandWaters
Organization: Bioregional Assessment Program
Aboriginal Lands - 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.

Land owned or under the control of the Aboriginal Lands Trust (or granted freehold under the Aboriginal Lands Trust Act 1966), together with Anangu Pitjantjatjara and Maralinga Lands.

## **Purpose** 

Land Administration and other uses.

## **Dataset History** 

Source Data History: Legal descriptions of land parcels as published in Government Gazette proclamation notices. The Government Gazette of September 11, 1967 contains the bulk of descriptions, referring to Certificates of Title as the legal document. Processing Steps: All land parcels are matched to the digital cadastre, using the Certificate of Title reference. Associated attribute data is captured from Government Gazette notices and the digital cadastre.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Aboriginal Lands - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/55ac1459-5fdc-491e-96fe-ee5594dd25f3.

Tags: Arckaringa subregion, boundaries
Organization: Bioregional Assessment Program
Queensland wetland data version 3 - wetland areas - WETCLASS: E, L, M, P, R

## **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 includes all wetland areas from the source dataset, Queensland wetland data version 3 - wetland areas, QLD DSITIA (GUID: 2a187a00-b01e-4097-9ca4-c9683e7f4786), which have a specified wetland class attribute of E, L, M, P or R.

## **Dataset History** 

WETCLASS: E, L, M, P, R



This dataset includes all wetland areas from the source dataset, Queensland wetland data version 3 - wetland areas, QLD DSITIA (GUID: 2a187a00-b01e-4097-9ca4-c9683e7f4786), which have a specified wetland class of E, L, M, P or R

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Queensland wetland data version 3 - wetland areas - WETCLASS: E, L, M, P, R. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/421fa3ce-36c6-4932-8ec7-2b9bf78acf63.

## **Dataset Ancestors** 

* **Derived From** [Queensland wetland data version 3 - wetland areas.](https://data.gov.au/data/dataset/2a187a00-b01e-4097-9ca4-c9683e7f4786)



Tags: Clarence-Moreton bioregion, Galilee subregion, Queensland, inlandWaters
Organization: Bioregional Assessment Program
HUN Alluvium (1:1m Geology)

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from the dataset Surface Geology of Australia, 1:1 000 000 scale, 2012 edition. 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.



Alluvium polygons extracted from the GA 1:1M Geology dataset for the Hunter subregion only.

## **Purpose** 

For report map display purposes.

## **Dataset History** 

Polygons from the GA national  1:1M Surface Geology dataset were extracted based as follows:



1) Polygon intersected with the HUN subregion extent, AND;

2) 'NAME'  = "alluvium 38485"

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) HUN Alluvium (1:1m Geology). Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c2706e2f-8800-440d-ad60-d0f2790b32e3.

## **Dataset Ancestors** 

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

* **Derived From** [Surface Geology of Australia, 1:1 000 000 scale, 2012 edition](https://data.gov.au/data/dataset/8284767e-b5b1-4d8b-b8e6-b334fa972611)

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

* **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 v04](https://data.gov.au/data/dataset/e8a2d577-c5c5-4e2c-b0fa-53e4b2d4a034)

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



Tags: GEOSCIENCES-Geology, Hunter subregion, New South Wales, geoscientificInformation
Organization: Bioregional Assessment Program
Average monthly and average annual evaporation data - 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.

Mean monthly and mean annual evaporation grids.

The grids show evaporation values across Australia in the form of two-dimensional array data.

The mean data are based on all available stations with at least ten years of records between 1975 and 2005.

## **Purpose** 

To demonstrate distribution of evaporation values over Arckaringa subregion.

## **Dataset History** 

Gridded data were generated using the Barnes 2-D meteorological analysis. Approximately 270 stations were used in the analysis. All input station data underwent a high degree of quality control before analysis. Most of the stations used in the analysis have at least 10 years of records, with at least 80% complete data over the recorded period. The evaporation data that were used in producing the grids are from the Bureau of Meteorologys class A pan evaporimeters.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Average monthly and average annual evaporation data - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/1b2b7967-e011-44d2-b8f3-595d57fc8653.

Tags: Arckaringa subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Australian Land Tenure 1993 - Geoscience 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. 



Contains boundary and attribute information for parcels of public, private and Aboriginal lands in Australia. Data are sourced primarly from government gazette notices, cadastral maps and plans. A nominal scale of around 1:5 million and a minimum 50 square kilometre threshold limit for land parcels was used in the generalisation of this product from the National Public and Aboriginal Lands data. Data is suitable for GIS applications. This map shows public and private land tenure, including Indigenous land for the whole of Australia at a scale of 1:4.7 million. The land tenure boundaries depicted on this map generally define broadly classified areas greater than 50 square kilometres. Indigenous land areas between 0.1 and 100 square kilometres are shown more comprehensively by symbols. The information on this map is complemented by statistical tables giving the total area of the land tenure categories for each State and Territory. This map is also available as free vector GIS data, ArcInfo Export, ArcView Shapefile and MapInfo mid/mif. Please direct any corrections or feedback on this map to mapfeedback@ga.gov.au. Product Specifications: Coverage: Australia Currency: Mid 1993 Coordinates: Geographical Datum: AGD66 Projection: Simple Conic on two standard parallels 18S and 36S Medium: Printed map (flat and folded);

## **Dataset History** 

Data was primarily sourced from Geoscience Australia's National Public and Aboriginal Lands data which contains data from State and Commonwealth Government gazettes. The Commonwealth Aboriginal and Torres Strait Islander Commission and State Government departments provided information on Aboriginal lands not gazetted. Other information was obtained from published maps and Geoscience Australia's National Topographic Mapping Series (NTMS).



Further information can be found at http://www.ga.gov.au/metadata-gateway/metadata/record/42340/

## **Dataset Citation** 

Geoscience Australia (2004) Australian Land Tenure 1993 - Geoscience Australia. Bioregional Assessment Source Dataset. Viewed 05 July 2017, http://data.bioregionalassessments.gov.au/dataset/d51a641a-df86-4b10-985a-8714b570386a.

Tags: Australia, Cooper subregion, planningCadastre
Organization: Bioregional Assessment Program
Geoscience Australia 250K Topographic Cartographic Masks

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.



This dataset contains cartographic masks from the Geoscience Australia Topographic 250K series 3 data (GUID: a0650f18-518a-4b99-a553-44f82f28bb5f).



http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-ecbd-7506-e044-00144fdd4fa6/GEODATA+TOPO+250K+Series+3+%28Packaged+-+Shape+file+format%29

## **Purpose** 

This mask has been developed to readily differentiate onshore and offshore areas thus allowing clear representation of data in the map by masking the offshore areas.

These masks can be used in cartographic products to tidy overlapping layers or help display labels.

## **Dataset History** 

The Mainlands and Islands layers from the Geoscience Australia Topographic 250K series 3 data (https://data.bioregionalassessments.gov.au/datastore/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f) were clipped from an arbitrary rectangular extent of Australia with the following bounding coordinates:



North: -4.40394403624746

West: 106.974907459776

East: 162.47047360971

South: -50.4276192467119



The mask area shows the non-land surface of Australia.

## **Dataset Citation** 

Bioregional Assessment Programme (2014) Geoscience Australia 250K Topographic Cartographic Masks. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c4adaa38-ed6d-4500-9970-0a05a9f72ac4.

## **Dataset Ancestors** 

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



Tags: Australia, Clarence-Moreton bioregion, Gippsland Basin bioregion, Hunter subregion, Sydney Basin bioregion, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
QLD Springs Dataset 2016

## **Abstract** 

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



The dataset provides a comprehensive catalogue of permanently saturated springs that have fixed locations and any associated surface expression groundwater dependent ecosystems. This precludes soaks that are not permanent, bores (because they are not natural), wells that do not have a surface expression of groundwater, and groundwater discharge along a stream-bed that is not in a fixed location. The springs dataset also includes other types of springs (e.g. springs with a non-permanent or unsaturated saturation regime), however, information on these types of springs may be limited. 

The springs dataset includes comprehensive information on spring location, status (active/inactive), and grouping (complex) for all springs included in the dataset. Where available, information is also provided on physical properties, general morphology, water chemistry, floristic composition, disturbance, faunal composition, survey effort, photographic documentation, and historical descriptions. Where sufficient information was available, springs have also been given a conservation ranking at both the individual spring and complex levels.



Original field data collected from 1995 to present checked, tested and compiled by the Queensland Herbarium. The water chemistry tests were performed by the Water Laboratory, Chemistry Centre, EcoScience Precinct,QLD. Springs added to the database come from a range of people and/or agencies. Springs are added to the database when a precise location is provided as well as a description accurate enough to inform permanency of the spring. Doubtful records are kept for further assessment. Springs can be removed from the database in some occasions after field survey confirming absence. A record of deleted springs is maintained by the Queensland Herbarium.

## **Dataset History** 

This dataset was extracted on the 13th October 2016 from the Queensland government website.

## **Dataset Citation** 

Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts (2016) QLD Springs Dataset 2016. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/26030523-4eb6-4abb-8932-bee72f954303.

Tags: Galilee subregion, biota, inlandWaters
Organization: Bioregional Assessment Program
Namoi dryland diffuse groundwater recharge

## **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.



This dataset is the estimation of groundwater recharge in the Namoi. It is uses the chloride mass balance method in the consolidated rock area and an empirical relationship betwenn soils, land use and climate in the alluvial areas.

## **Purpose** 

This dataset provides a long term average recharge rate for input to the groundwater modelling.

## **Dataset History** 

This dataset is the estimation of groundwater recharge in the Namoi. It is uses the chloride mass balance method in the consolidated rock area and an empirical relationship betwenn soils, land use and climate in the alluvial areas. The methods used are described in NAM213

## **Dataset Citation** 

Bioregional Assessment Programme (2016) Namoi dryland diffuse groundwater recharge. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/858327d1-a558-4edc-9315-8779924f3632.

## **Dataset Ancestors** 

* **Derived From** [Surface Geology of Australia, 1:1 000 000 scale, 2012 edition](https://data.gov.au/data/dataset/8284767e-b5b1-4d8b-b8e6-b334fa972611)

* **Derived From** [BOM, Australian Average Rainfall Data from 1961 to 1990](https://data.gov.au/data/dataset/fd91f2d4-2cc8-4d5d-9f67-8fe8af1e2676)

* **Derived From** [Soil and Landscape Grid National Soil Attribute Maps - Clay 3 resolution - Release 1](https://data.gov.au/data/dataset/f8640540-4bb7-42ee-995a-219881e67705)

* **Derived From** [Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)

* **Derived From** [Australian 0.05Âº gridded chloride deposition v2](https://data.gov.au/data/dataset/c1649bd7-227f-41ff-9964-b55479bef640)



Tags: Namoi subregion, New South Wales, economy, environment, geoscientificInformation
Organization: Bioregional Assessment Program
Namoi mean annual rainfall time series prediction

## **Abstract** 

This dataset was derived by the Bioregional Assessment Programme from a source dataset. 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



The data contains mean annual rainfall for whole of Namoi subregion from 1900 to 2012. The last 30 years of data (1983 to 2012) is used to project rainfall data for three 30-year blocks starting from 2013 to 2102 using rainfall scaling factors.

## **Purpose** 

The data is used in the AWRA-L/R model to project future runoff under baseline and coal resource development pathway.



The data is also used to plot time series of observed (1900 to 2012) and projected (2013 to 2102) annual precipitation averaged over the Namoi subregion using the script climate.m that takes input extends to three 30-year periods with scaling factors.  bsmooth.m returns weighted smoothing of vector \[x\] over a window of length lwin = 23 years.  The resulting plot is shown in NAM261 report.

## **Dataset History** 

This resource was created using BAWAP data. This source data was is the Bureau of Meteorology rainfall grids. The annual data were generated from daily data.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) Namoi mean annual rainfall time series prediction. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/74aeaba9-1c47-443e-8940-2befe8ff8dce.

## **Dataset Ancestors** 

* **Derived From** [Mean climate variables for all subregions](https://data.gov.au/data/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc)

* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)



Tags: Namoi subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program