AndreaBozzo/ceres-open-data-index huggingface dataset:
GLO RMS Model Depth Structure 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 Model for the Gloucester Basin.There is a separate image for the legend. The image shows the depth horizon layers which represents the depth structure of the eight formations found in the Basin. The image was used in ArcGIS to show the depth structure for the RMS model.

## **Dataset History** 

The data set contains the image in PNG form exported from the RMS model for the Gloucester Basin. There is a separate image for the legend. The image was used in ArcGIS to show the depth structure for 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 surfaces built in the RMS model.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) GLO RMS Model Depth Structure v01. Bioregional Assessment Derived Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/9b9cb96b-2e28-4a4f-9358-e52d24b83e23.

## **Dataset Ancestors** 

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

* **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)



Tags: Gloucester subregion, New South Wales, elevation, geoscientificInformation
Organization: Bioregional Assessment Program
Gloucester Hydrological Divide

## **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.



A poly line feature indicating the surface water divide within the valley that makes up the Gloucester subregion. Surface water north of this divide flows north into the Gloucester River system and surface water south of the divide flows south into the Karuah river systerm. Used for cartographic purposes only.



This line was digitised from a map figure in a AGL Upstream Investments Pty Ltd report -  "Hydrological conceptual Model of the Gloucester Basin"  Fig 5.9 on p40, prepared by Parsons Brinckerhoff.



A copy of this report is located within the data set.

## **Dataset History** 

This line was digitised from a map figure in a Parsons Brinkerhoff report. "Hydrological conceptual Model of the Gloucester Basin"  Fig 5.9 on p40.



The map figure was scanned and georectified to MGA 56 coordinates using know map features road junction etc) as control points.



The polyline was digitised on-screen in ArcGIS 10.1 to a MGA56 shapefile using the georectified map image as a backdrop.



AGL Upstream Investments Pty Ltd  (2013) Hydrological conceptual Model of the Gloucester Basin. Published 28 June 2013, Document No: 2162406A PR_7266. Fig 5.9 on p40. Prepared by Parsons Brinckerhoff



http://www.agl.com.au/\~/media/AGL/About%20AGL/Documents/How%20We%20Source%20Energy/CSG%20and%20the%20Environment/Gloucester/Assessments%20and%20Reports/2013/Conceptual%20model%20email%20version.pdf

## **Dataset Citation** 

AGL (2014) Gloucester Hydrological Divide. Bioregional Assessment Source Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/9da69c81-51be-48e2-be0f-6710203b095e.

Tags: Gloucester subregion, New South Wales, geoscientificInformation
Organization: Bioregional Assessment Program
Mining Footprints Lake Coal Pty Ltd 20141020

## **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 as supplied by Lake Coal Pty Ltd of the following mines:

Fassifern seam

Great Northern Seam

Wallarah



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact LakeCoal Pty Ltd. www.chainvalleymine.com.au

## **Purpose** 

Mining footprints as supplied by Lake Coal PTY LTD

## **Dataset History** 

History information was not supplied with the dataset.

## **Dataset Citation** 

Lake Coal PTY LTD (2014) Mining Footprints Lake Coal Pty Ltd 20141020. Bioregional Assessment Source Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/a0e89257-cefb-4cf8-a523-e6ae3345cd1c.

Tags: Hunter subregion, INDUSTRY-Mining, economy
Organization: Bioregional Assessment Program
HUN Groundwater footprint kmz files 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. 



This contains the footprint outlines of all the mines used in the groundwater model. There are 4 kmz files identifying both open cut and below ground mines footprints for the base case and coal resource development pathway scenarios.

## **Purpose** 

Mine footprints used to define the extent of the mines under different scenarios for input to the groundwater model.

## **Dataset History** 

The Hunter groundwater footprint polygon dataset was made into four maps separated into underground and open cut mines, and baseline and CRDP scenarios. These maps were exported as kmz files using Geosoft Oasis Montaj software.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) HUN Groundwater footprint kmz files v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a16c503d-4ec7-4319-b8e1-c8e8a629d71a.

## **Dataset Ancestors** 

* **Derived From** [HUN Groundwater footprint polygons v01](https://data.gov.au/data/dataset/c7672a9d-422e-425e-82ef-11afc5fb7ba6)



Tags: Hunter subregion, Namoi subregion, New South Wales, WATER-Groundwater, geoscientificInformation, location, planningCadastre
Organization: Bioregional Assessment Program
HUN Wilpingong ACRD mine footprint v01

## **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 known details at the time of acquisition.



Series of shapefiles depicting mine footprint expansion of  Wilpinjong mine across time.

## **Dataset History** 

Images of mine expansion plans were scanned from the report contained in the dataset and used as backdrop for on-screen digitisation using ArcMap

## **Dataset Citation** 

Bioregional Assessment Programme (2016) HUN Wilpingong ACRD mine footprint v01. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a418cc7e-68f3-457f-a5f9-bf1042ba0941.

Tags: Hunter subregion, INDUSTRY-Mining, New South Wales, environment, geoscientificInformation
Organization: Bioregional Assessment Program
CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from geology mapsheets provided by the NSW Department of Primary Industries - Mineral Resources. 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 contains a shapefile of NSW surface geology covering the Clarence-Moreton Bioregion at 1:250,000 scale taken from the 'Clarence-Moreton SEEBASE and Structural GIS Project'.

## **Dataset History** 

This dataset is a subset of the CLM SEEBASE dataset (GUID = b1690f8b-4025-45d2-96a0-6feb03ff3e52), i.e. found in the Geology directory . See PDF document stored with the 'Clarence-Moreton SEEBASE and Structural GIS Project' dataset linked in Lineage.

## **Dataset Citation** 

Bioregional Assessment Programme (2007) CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/a1f5c7b3-ea1f-4ef0-9d05-f54e81f4c7b6.

## **Dataset Ancestors** 

* **Derived From** [Clarence-Moreton SEEBASE & Structural GIS Project data.](https://data.gov.au/data/dataset/b1690f8b-4025-45d2-96a0-6feb03ff3e52)



Tags: Clarence-Moreton bioregion, geoscientificInformation
Organization: Bioregional Assessment Program
New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports

## **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 known details at the time of acquisition. 



Under input to the BA program, spatial assets databases are developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets.



The Water Asset table describes the key attributes of the water dependent environmental assets (or elements) as provided by regional NRM organisations to the BA program. 



The main land use/s at the site of features are described. Values are based on Australian Land Use Management Classification (ALUM), as provided by bioregional stakeholders as part of the process for populating an initial assets database.



Key environmental values are described as detailed in the National Water Quality Management Strategy (NWQMS). The NWQMS process involves development and implementation of management plans for each catchment, aquifer, estuary, coastal water or other water body, by community and government. Local government, community organisations and other agencies carry out these plans using the NWQMS to protect agreed environmental values (or 'EVs').



A description of the WaterBody Type is provided, based on Australian National Guidelines for Ramsar Wetlands, but may include other values, particularly for those describing groundwater elements or assets. 



Key components of a vulnerability assessment of the elements or assets provided by regional partners are also provided.

## **Dataset History** 

Lineage and processing history of the data received from BA regional partners will vary. Detailed documentation is provided within this dataset.

## **Dataset Citation** 

Department of the Environment (2015) New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a2a929ea-2cb3-42ab-86b9-87deac68acae.

Tags: Central West subregion, Clarence-Moreton bioregion, Gloucester subregion, Gwydir subregion, Hunter subregion, Maranoa-Balonne-Condamine subregion, Namoi subregion, New South Wales, Sydney Basin bioregion, biota, economy, inlandWaters
Organization: Bioregional Assessment Program
Namoi Receptor Impact Variables (low flood)

## **Abstract** 

This 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 is a spatial layer that is used to produce a risk composite map for the potential ecological impacts on 'Floodplain or lowland riverine' landscape classes.

It essentially categorises the different values of the receptor impact variables (RIV) in to three risk categories: 'no or minimal risk', 'some risk' or 'more at risk' using thresholds defined for each RIV (See Namoi 3.4 for more details).

## **Dataset History** 

This is version 01 of this data layer. It was created using landscape classification, receptor impact modelling results and the risk thresholds defined in the Namoi 3-4 report dealing with landscape classes.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) Namoi Receptor Impact Variables (low flood). Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/a354f4d7-3828-495e-8f6e-58211b3c8c53.

## **Dataset Ancestors** 

* **Derived From** [Landscape classification of the Namoi preliminary assessment extent](https://data.gov.au/data/dataset/360c39e5-1225-401d-930b-f5462fdb8005)

* **Derived From** [Namoi CMA Groundwater Dependent Ecosystems](https://data.gov.au/data/dataset/a3e21ec4-ae53-4222-b06c-0dc2ad9838a8)

* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)](https://data.gov.au/data/dataset/6dbaee0d-8813-46b1-9c13-1b796e7ed3bf)

* **Derived From** [Border Rivers Gwydir / Namoi Regional Native Vegetation Map Version 2.0. VIS_ID 4204](https://data.gov.au/data/dataset/b3ca03dc-ed6e-4fdd-82ca-e9406a6ad74a)

* **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** [Murray-Darling Basin Aquatic Ecosystem Classification](https://data.gov.au/data/dataset/a854a25c-8820-455c-9462-8bd39ca8b9d6)



Tags: Namoi subregion, New South Wales, environment
Organization: Bioregional Assessment Program
Namoi CMA Groundwater Dependent Ecosystems

## **Abstract** 

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



Vegetation in the Namoi CMA (including vegetation of both high ecological value as well as medium and low ecological value) was identified as being groundwater dependent (low, medium and high probability) following a methodology that used current vegetation data, depth to groundwater data, remote sensing data that showed potential frequency of water use other than surface water based on a continuous 10 year period and expert opinion.



A detailed description of the methodology used to create these data can be found in the following document:

Dabovic, J, Kuginis L, Raine A, Hemakumara H, Byrne G, Mitchell, M and Williams J (in prep) Methods for the identification of high priority groundwater dependent ecosystems in NSW . NSW Department of Primary Industries, Office of Water.



This dataset has been provided to the BA Programme on the condition that third parties may not reproduce this dataset. Third parties wishing to use or reproduce this data should contact the data provider.

## **Purpose** 

These data provide the location and likelihood of native vegetation being dependent on groundwater using multiple lines of evidence (see above). Thus, they provide a detailed assessment of one aspect the hydrological connectivity (groundwater in this instance) of the native vegetation in the Namoi CMA.

## **Dataset History** 

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 sources:

Groundwater dependency

1. Vegetation: obtained from OEH

2. Depth to groundwater: modelled data provided by Office of Water Hydrogeologists

3. Potential frequency of water use other than surface water based on a continuous 10

year period : This data set was created by Herbert Hemakumara (Office of Water) using

remote sensing MODIS

High Ecological Value

1. National Parks and State Forests (OEH)

2. SEPP 14 & 26 (Dept Planning)

3. RAMSAR Wetlands (OEH)

4. Marine parks and aquatic reserves (OEH)

5. Identified rain forest communities (OEH)

6. Threatened or endangered species (OEH)

7. Wildlife corridors, Regional Conservation strategies or communities identified as

being significant in various studies (Various Sources)

Positional Accuracy:

The eastings and northings of all points are only approximate.

The shape of polygon features are only approximate.

Data Status:

This is a DRAFT preliminary dataset. The model has been run however the output has

not been checked and field verification has not taken place. The project is on going.

## **Dataset Citation** 

NSW Office of Water (2016) Namoi CMA Groundwater Dependent Ecosystems. Bioregional Assessment Source Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/a3e21ec4-ae53-4222-b06c-0dc2ad9838a8.

Tags: Namoi subregion, New South Wales, biota, environment, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
Groundwater Licences Entitlement Volume To Bores Vic DEPI 20141021

## **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 was created by DEPI and provided to the Bureau of Meteorology as a once off extract

NOTE: Mining licences are not included in this dataset.

Volume of Entitlment ML/YR by licence was distributed to WorksID by the Department of Environment and Primary Industries



This dataset has been provided to the BA Programme for use within the programme only. Current data are available from http://www.environment.gov.au/fed/catalog/main/home.page

## **Purpose** 

This data has been used to allocate volume ML/yr to works in in the Victorian Extract of NGIS

## **Dataset History** 

The Victorian Extract of the National Groundwater Information was joined to an Licence extract obtained direct from DEPI 

Volume is in the unit of ML/year per 

The number of works was calculated for each licence and the volume was distributed evenly across works (bores) by Internally by DEPI (sheet1)

Please note this dataset was a 'once off' extract provided by Emma Davidson on the 21/10/2014 in DEPI and was work in  preparation for NGIS

NOTE: Mining licences are not included in this dataset

Redundant fields were removed (any fields that were not populated)

Records were classifed as "Basic Water Right" or "Water Access Right"

	Classify by water use by \[F_TYPE\]

\*	Domestic 'DOM' and Stock 'STOK' = 'Basic Water Right'

\*	All Others = 'Water Access Right'

\*	'EXPR' or 'MON' = N/A

## **Dataset Citation** 

Victorian Department of Environment, Land, Water and Planning (2014) Groundwater Licences Entitlement Volume To Bores Vic DEPI 20141021. Bioregional Assessment Source Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/a410fbcc-7c3d-486a-87c4-a5bb88fb489f.

Tags: Gippsland Basin bioregion, Victoria, WATER-Groundwater, economy, geoscientificInformation
Organization: Bioregional Assessment Program
HUN SW Modelling Reaches and HRV lookup 20170106 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.



Contains a line shapefile and an excel spreadsheet lookup table. The line shapefile derived from the Geofabric Surface Water Network streams (source data) and spatially represents the reaches described in the accompanying lookup table so that surface water modelling based Hydrological Response Variables (HRVs) can be applied spatially along stream lengths. The interpolation is also applied to the Geofabric Cartographic Streams for mapping purposes.



v02 of this dataset supersedes this dataset

## **Dataset History** 

Line segments from the Geofabric Network Streams and Cartographic Streams source dataset were grouped into reach sections based on descriptions in the accompanying lookup table (supplied by Surface Water Modelling team) using the surface water node locations and described river junctions and other defined locations as spatial reference. Reaches were given a unique ID and dissolved into a multpart lines. There is also a Network version which further breaks the reaches into their Riverine Landscape classes.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) HUN SW Modelling Reaches and HRV lookup 20170106 v01. Bioregional Assessment Derived Dataset. Viewed 07 June 2018, http://data.bioregionalassessments.gov.au/dataset/a55000e4-4fb3-49ea-8c1c-ab6d12750a3e.

## **Dataset Ancestors** 

* **Derived From** [HUN SW Model nodes 20170110](https://data.gov.au/data/dataset/a7b21661-0e01-4344-b599-bf9c6d55da7f)

* **Derived From** [National Surface Water sites Hydstra](https://data.gov.au/data/dataset/f7edc5e5-93ee-4527-bed5-a118b4017623)

* **Derived From** [HUN AWRA-L simulation nodes_v01](https://data.gov.au/data/dataset/ae5129b2-bc29-4317-b72c-fe554fe7d315)

* **Derived From** [Geofabric Surface Network - V2.1](https://data.gov.au/data/dataset/ed3acf9b-888c-4d53-b376-ecab89781651)

* **Derived From** [HUN AWRA-L simulation nodes v02](https://data.gov.au/data/dataset/9e947329-d7ca-4e83-a5a9-5581a8731dd5)

* **Derived From** [HUN River Perenniality v01](https://data.gov.au/data/dataset/3200fb73-72f3-4770-b012-3f49af454493)

* **Derived From** [Geofabric Surface Network - V2.1.1](https://data.gov.au/data/dataset/d84e51f0-c1c1-4cf9-a23c-591f66be0d40)



Tags: Hunter subregion, New South Wales, environment, inlandWaters
Organization: Bioregional Assessment Program