AndreaBozzo/ceres-open-data-index huggingface dataset:
GLO RMS Model Formation Tops v01

## **Abstract** 

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



The data set contains the image in PNG form exported from the RMS geological model for the Gloucester Basin. The image was used in ArcGIS to show the formation tops for the eight formations found in the Basin.

## **Dataset History** 

The data set contains the image in PNG form exported from the RMS geological model for the Gloucester Basin. The image was used in ArcGIS to show the formation tops in the RMS model. Depth values were recorded in the well completion reports (GUID: 0529ae9a-4d40-460d-b52a-fb0e5f646746) for the Gloucester Basin, then compiled into text files and formation tops identified in the RMS model. The model uses the measured depths of formations from well completion reports and interpolates a surface for the formation tops across the model domain.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) GLO RMS Model Formation Tops v01. Bioregional Assessment Derived Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/594d2f5d-96ad-43df-aec1-ba518a6239dd.

## **Dataset Ancestors** 

* **Derived From** [Gloucester Deep Wells Completion Reports - Geology](https://data.gov.au/data/dataset/0529ae9a-4d40-460d-b52a-fb0e5f646746)

* **Derived From** [GLO DEM 1sec SRTM MGA56](https://data.gov.au/data/dataset/ca38ed31-e15d-4bb5-a7ef-0aeba3dad3f4)

* **Derived From** [Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)](https://data.gov.au/data/dataset/9a9284b6-eb45-4a13-97d0-91bf25f1187b)

* **Derived From** [GLO Deep Well Locations and Depths of Formations V01](https://data.gov.au/data/dataset/e549473c-5b78-4279-8eeb-af86ca6522b3)

* **Derived From** [GLO Geological Model Extracted Horizons Final Grid XYZ V01](https://data.gov.au/data/dataset/18402b28-677e-45af-9860-067c258eea33)



Tags: GEOSCIENCES-Geology, Gloucester subregion, New South Wales, elevation, geoscientificInformation
Organization: Bioregional Assessment Program
Baseline drawdown Layer 1 - Condamine Alluvium

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.



This shapefile dataset corresponds to the long-term drawdown pattern for the Condamine Alluvium as published in Figure F-9 of the Surat Underground Water Impact Report 2012.



This dataset has been provided to the BA Programme for use within the programme only. Third parties may request a copy of the data from the Office of Groundwater Impact Assessment (OGIA). https://www.dnrm.qld.gov.au/ogia

## **Dataset History** 

This shapefile dataset was provided to the BA Programme by Mark Gallagher (OGIA). It defines the drawdown data published as Figure F-9 Long Term Impact Pattern - Condamine Alluvium in the Underground Water Impact Report for the Surat Cumulative Management Area 2012.

## **Dataset Citation** 

Queensland Office of Groundwater Impact Assessment (2012) Baseline drawdown Layer 1 - Condamine Alluvium. Bioregional Assessment Source Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/49b2cbac-c570-461d-b6e6-8e2e584aeaea.

Tags: GEOSCIENCES-Hydrogeology, Maranoa-Balonne-Condamine subregion, Queensland, geoscientificInformation
Organization: Bioregional Assessment Program
Gloucester River Types v01

## **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. 



For the purposes of identifying the relevance of generic flow response models the streams were broken into five broad groups of flow regimes; the two mentioned earlier "permanent" and "ephemeral" regimes, and three further groups, "perennial and lowly intermittent", "intermittent" and "highly intermittent".  Perennial being streams that typically flow all year round, but during drought will cease to flow during the dryer parts of the year.  Lowly intermittent being streams where they can flow all year round but they typically have a seasonal cease to flow period.  Intermittent being stream where they always cease to flow during the dry seasons of the year.  And highly intermittent where the streams are virtually ephemeral but have extended tails to the events.

The five flow regime groupings are estimated from Ecohydrology classification work published by Land and Water Australia (Pusey et al. 2009).  Two studies carried out as part of the "Ecohydrology regionalisation of Australia" project where used to estimates where the different flow regimes occur.  The study, "Ecohydrology Classification of Australia's Flow Regimes" identified 12 flow regime classes, which did not only capture the frequency or intermittence of flow, but also the seasonality of specific flows (eg "stable winter baseflow", or "unpredictable summer highly intermittent" class).  The study was based on measured streamflow sequences for a select number of gauging station where the flows are essentially natural, and while it considered techniques for predicting the 12 flow classes in points other than the selected sites a spatial layer of flow regime classes was not produced.



Refer to "Sayers, Jon (draft) Water Sharing Plan Environmental Flow Monitoring and Modelling Program manual, NSW Office of Water, Newcastle" for further detail.

## **Dataset History** 

A spatial layer is derived from an Ecohydrology classification product, which is used to identify river hydrology classification base of the degree on intermittency flow of the rivers (see section 1.3.2 How Ecohydrology Classification is used).  The riverine features are identified using the River Style&#xAE; mapping (see section 1.3.3 How River Styles&#xAE; is used).



Refer to "Sayers, Jon (draft) Water Sharing Plan Environmental Flow Monitoring and Modelling Program manual, NSW Office of Water, Newcastle" for further detail.

## **Dataset Citation** 

NSW Office of Water (2015) Gloucester River Types v01. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/4949961d-be38-4d42-9aec-5dfec55fed7b.

Tags: Gloucester subregion, Hunter subregion, inlandWaters
Organization: Bioregional Assessment Program
BOM, Australian Evapotranspiration Data from 1961 to 1990

## **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 contains mean annual areal actual, mean annual areal potential and mean annual point potential evapotranspiration gridded data for Australia for the period 1961 to 1990. Averages can be viewed annually or monthly for each data interpolation type. For full metadata view the .xml files contained within the dataset.



This dataset has been provided to the BA Programme for use within the programme only. For copyright information go to http://www.bom.gov.au/other/copyright.shtml.   Information on how to request a copy of data can be found at www.bom.gov.au/climate/data.

## **Dataset History** 

Gridded data were generated using the ANU (Australian National University) 3-D Spline (surface fitting algorithm). The grid point resolution of the data is 0.1 degrees ( approximately 10km). As part of the 3-D analysis process a 0.1 degree resolution digital elevation model (DEM) was used. Approximately 700 stations were used in the analysis, and all input station data underwent a high degree of quality control before analysis, and conform to WMO (World Meteorological Organisation) standards for data quality. 



Areal Actual ET is the ET that actually takes place, under the condition of existing water supply, from an area so large that the effects of any upwind boundary transitions are negligible and local variations are integrated to an areal average.



Areal Potential ET is the ET that would take place, under the condition of unlimited water supply, from an area so large that the effects of any upwind boundary transitions are negligible and local variations are integrated to an areal average.



Point Potential ET is the ET that would take place, under the condition of unlimited water supply, from an area so small that the local ET effects do not alter local airmass properties. It is assumed that latent and sensible heat transfers within the height of measurement are through convection only.

## **Dataset Citation** 

Bureau of Meteorology (2008) BOM, Australian Evapotranspiration Data from 1961 to 1990. Bioregional Assessment Source Dataset. Viewed 21 December 2017, http://data.bioregionalassessments.gov.au/dataset/48a34ef7-3e40-4ea5-b984-6cdfe09bc040.

Tags: Australia, Cooper subregion, Gippsland Basin bioregion, Namoi subregion, Pedirka subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
2016 SoE Marine Time trajectory of spawning biomass of the east coast population of orange roughy 1980-2014

Based on graph in "Orange roughy (Hoplostethus atlanticus) eastern zone stock assessment incorporating data up to 2014. Report to the Australian Fisheries Management Authority. CSIRO, Hobart". Data provided by AFMA / CSIRO, for more information see http://www.afma.gov.au/wp-content/uploads/2014/03/SESSF-CSIRO-Orange-Roughy-Eastern-Assessment-Final-2014.pdf

Data used to produce figure MAR28, SoE2016. See;
https://soe.environment.gov.au/theme/marine-environment/topic/2016/state-and-trends-marine-biodiversity-species-groups#figure-mar28-spawning-biomass-of-the-east-coast-population-of-orange-roughy-1980%E2%80%932015--118736

Tags: 2016, 2016 SoE, Marine environment, SoE, SoE Graph, State of the Environment
Organization: State of the Environment
2016 SoE Marine Time series of an abundance index of calcareous plankton

Time series of an abundance index calculated via principal components analysis (1: above the long-term mean, 0: no change, -1: below the long-term mean) of the calcareous plankton (echinoderm larvae, bivalve larvae, Cavoliniid gastropods, and other shelled gastropods) based on data collected at each of the IMOS National Reference Stations.

IMOS and CSIRO data used to produce figure MAR10 in the State of the Environment Report 2016 - Marine Chapter. See;

https://soe.environment.gov.au/theme/marine-environment/topic/2016/climate-change#marine-environment-figure-10

For more metadata see http://catalogue.aodn.org.au/geonetwork/srv/eng/metadata.show?uuid=439b743e-d212-4398-a068-7a6b6da02a0d

Tags: 2016, 2016 SoE, Biota, Marine environment, PLankton, SoE, SoE Graph, State of the Environment
Organization: State of the Environment
Northern Territory - Lake Eyre Basin - Wetlands Mapping - METADATA ONLY

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.



This dataset contains only a text file about the data.



Geodata 3 flats clipped to Northern Territory Lake Eyre Basin

## **Purpose** 

To illustrate exisitng waterbody mapping.

## **Dataset History** 

Geodata 3 flats clipped to NT Lake Eyre Basin

## **Dataset Citation** 

NT Department of Natural Resources, Environment, the Arts and Sport (2009) Northern Territory - Lake Eyre Basin - Wetlands Mapping - METADATA ONLY. Bioregional Assessment Source Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/41d2ecc8-7700-4cc5-b80c-2092596d6f7e.

Tags: Arckaringa subregion, Northern Territory, Pedirka subregion, WATER-Wetlands, biota, environment, inlandWaters
Organization: Bioregional Assessment Program
Non Rated Species Flora - 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.

Shows the locations of non-rated species that have not been rated but have been recorded and maybe significant to it's relevant biotic group.

## **Purpose** 

To indicate the distribution and effort for survey sites across the subregion.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Arckaringa subregion. 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.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Non Rated Species Flora - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/3f799c82-7897-4eaf-9cb0-bd9c9f2987f6.

Tags: Arckaringa subregion, biota
Organization: Bioregional Assessment Program
CLM - CRDP Petroleum Production License Application (PPLA9).

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.



This petroleum production license application (PPLA9) dataset was provided by the NSW Department of Trade and Investment. It represents the extent of a potential coal seam gas development area south of Casino.



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Department of Industry. http://www.industry.nsw.gov.au/

## **Purpose** 

In the Clarence-Moreton bioregional assessment, it forms part of the coal resource development pathway (CRDP).

## **Dataset History** 

No History was provided by supplier.



This petroleum production license application (PPLA9) dataset was provided by the NSW Department of Trade and Investment. 



It represents a source dataset which was provided as an ArcGIS shapefile. No modifications were made to the shapefile.

## **Dataset Citation** 

NSW Trade and Investment (2015) CLM - CRDP Petroleum Production License Application (PPLA9).. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/3ee39484-d851-4eea-99f2-28ae10b10f23.

Tags: Clarence-Moreton bioregion, New South Wales, economy
Organization: Bioregional Assessment Program
Climate model 0.05x0.05 cells and cell centroids

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from Mean Annual Climate Data of Australia 1981 to 2012 dataset. 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 file geodatabase contains polygon and point feature classes  representing Climate model 0.05x0.05 decimal degree cells and their centroids. This dataset is used for Bilo climate and runoff modelling. Only the geometry was used from the source dataset, not the climate data. Grid cells were converted to polygons and only those cells intersecting with the continent were retained.



Cells and their centroids are identified by their GRIDCODE, that being a nine digit integer derived from the centroid lat-long co-ordinates.



The formula is (long nnn.nn) x 100,000 + -(lat nn.nn) x 100



eg a cell with a centroid of 148.05 degrees east and -26.55 degrees south would have an ID of 148052555

## **Purpose** 

Used for Bilo climate and runoff modelling.

## **Dataset History** 

A climate raster was taken from the silo time series repository and converted to a vector to obtain a polygon coverage of the grid cells (Arctools "raster to polygon"). These were clipped to the continent as depicted by the 1:250k topo data. Centroids were extracted using the "Feature to point" Conversion tool.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) Climate model 0.05x0.05 cells and cell centroids. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8.

## **Dataset Ancestors** 

* **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)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)



Tags: Australia, CLIMATE-AND-WEATHER, Clarence-Moreton bioregion, Gloucester subregion, Hunter subregion, Namoi subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Mining Footprints Peabody Wambo 20150224

## **Abstract** 

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



Mining footprints from Peabody Wambo mine: Data includes current (2012, 2013) plans and Proposed mines for 2017.  Data also includes old underground mines



This dataset has been provided to the BA Programme for use within the programme only. Third parties may request a copy of the data from Wambo Coal Pty Ltd. http://www.peabodyenergy.com

## **Purpose** 

Mining footprints as supplied by Peabody Wambo.

## **Dataset History** 

History information was not supplied with the dataset.

## **Dataset Citation** 

Wambo Coal Pty Ltd (2015) Mining Footprints Peabody Wambo 20150224. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/3aee4c12-9cc3-4078-95db-d6f8bcc58815.

Tags: Hunter subregion, INDUSTRY-Mining, economy
Organization: Bioregional Assessment Program
NSW Current Petroleum Titles 20140815

## **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.



Spatial dataset recording the shapes of current petroleum exploration and production licences granted under New South Wales mining legislation.



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Department of Industry. http://www.industry.nsw.gov.au/

## **Dataset History** 

Data Quality

Lineage:

Petroleum Exploration licences generally follow graticular boundaries and are applied for and granted as a series of 5' by 5' blocks.



Attribute Definitions

Name	Description

	

Title Code	Type of title granted. Petroleum titles may include: PAL - Petroleum Assessment Lease, a title to allow retention of petroleum rights over an area in which a significant deposit has been identified, but development is not viable in the short term; PEL - Petroleum Exploration Licence, a title to explore for petroleum; PEP - Petroleum Exploration Permit, a title to explore for petroleum under the previous (1967) Mining Act; PPL - Petroleum Production Lease, a title granted for the production of petroleum; PSPAUTH - Petroleum Special Prospecting Authority, a title to carry out speculative scientific investigations for petroleum.

Title No	Textural code for the type of licence and the number of the licence.

Act Year	The Mining Act under which the title was granted. The mining act contains the conditions that are in force on the licence.

Grant Date	The date the title was first granted.

Last Renewed	The date the title was last renewed.

Expiry Date	The date on which the title's current term ends.

Company	The current holder of the licence.

Minerals	The mineral groups which the title targets. Groups are as follows: Group 1 - metallic minerals; Group 2 - non-metallic minerals; Group 3 - semi-precious stones; Group 4 - marine aggregate; Group 5 - clay minerals; Group 6 - diamond, corundum, ruby and sapphire; Group 7 - opal; Group 8 - geothermal substances; Group 9 - coal and oil shale; Group 10 - mineral sands.

## **Dataset Citation** 

NSW Trade and Investment (2014) NSW Current Petroleum Titles 20140815. Bioregional Assessment Source Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/3a4ccc15-e3de-4452-bf78-3869dceace82.

Tags: Central West subregion, Gwydir subregion, Maranoa-Balonne-Condamine subregion, Namoi subregion, New South Wales, economy
Organization: Bioregional Assessment Program
MBC Georeferenced report figures

## **Abstract** 

This dataset was created by the Bioregional Assessment Programme without the use of source datasets and the History statement outlines the creation process. Metadata  has been compiled by the Bioregional Assessment Programme .



This dataset contains previously published report figures which have been georeferenced to allow overlay with other BA Programme georeferenced datasets.

## **Purpose** 

For publication as non-text elements in the MBC 2.6.2 product.

## **Dataset History** 

This dataset comprises map figures extracted from the OGIA Surat UWIR Annual Report (2014) and Surat CMA Groundwater Model Report (2012) which have been georeferenced in ESRI ArcGIS software product.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) MBC Georeferenced report figures. Bioregional Assessment Source Dataset. Viewed 07 July 2017, http://data.bioregionalassessments.gov.au/dataset/39e96f4b-46e1-4f06-a22d-2626edd6c3e0.

Tags: Maranoa-Balonne-Condamine subregion, geoscientificInformation, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
2016 SoE Marine Time series of abundance of Pseudo-Nitzchia and Dinophysis

Time series of the abundance of harmful algae pseudo-nitzchia spp. (top) and dinophysis spp. from 2009 - 2015 as recorded at the nine IMOS reference stations around Australia.
Created for the Marine chapter of the State of the Environment report 2016 using IMOS and CSIRO data.
For complete metadata, see http://catalogue.aodn.org.au/geonetwork/srv/eng/metadata.show?uuid=ca3d67e9-96d6-4b67-a2e9-fc4e8b144e37

Data used for Figure MAR34; see
https://soe.environment.gov.au/theme/marine-environment/topic/2016/state-and-trends-indicators-marine-ecosystem-health-ecologial#figure-marine-environment-MAR34b

Tags: 2016, 2016 SoE, Biota, Dinophysis, Marine environment, Peudo-Nitzchia, Plankton, SoE, SoE Graph, State of the Environment
Organization: State of the Environment
AGL Groundwater Investigations - Phase 2

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.



This report deals with the groundwater investigations undertaken by Parsons Brinckerhoff in 2011-2012 on behalf of AGL, as a part of their Environmental Assessment for the purposed construction of CSG wells in Gloucester as a part of Gloucester Gas Project Stage 1 development.



This dataset has been provided to the BA Programme for use within the programme only. Third parties may request a copy of the data from AGL. http://www.agl.com.au

## **Dataset History** 

This report was downloaded from AGL Website on 28 August 2013. The report details the monitoring well develoment, location and the water chemistry observed in the wells.

## **Dataset Citation** 

AGL (2014) AGL Groundwater Investigations - Phase 2. Bioregional Assessment Source Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/355c94dd-16c7-4b8f-bb4a-832ae7978ffb.

Tags: Gloucester subregion, environment, geoscientificInformation
Organization: Bioregional Assessment Program