AndreaBozzo/ceres-open-data-index huggingface dataset:
Exotic invasive species: identification of species with environmental impacts

Overview  
 This report provides details of the method used to develop a database of exotic invasive species that have the potential to have environmental impacts in Australia. The report also provides an overview of species contained in the database. 

 Key Issues  
• Previous introductions of invasive species (for example, European fox, European carp and lantana) - many of them intentional - have had significant impacts on Australia's environment. Invasive species threaten biodiversity, cause environmental degradation and reduce the diversity and abundance of native species. Impacts on the environment can have flow-on effects - impacting tourism and the economy more broadly. Preparedness activities, such as identifying exotic species (and their pathways) that are a major threat to Australia's industry, environment and social amenity, are important steps in mitigating the risk of incursions. 
• To strengthen environmental biosecurity preparedness, the Stronger Biosecurity and Quarantine Initiative commissioned ABARES to identify exotic invasive species that have the potential to impact the environment. A horizon scanning approach was adopted by scanning databases, government data, legislation, scientific journals and reports for invasive species (plants, vertebrates and invertebrates) recorded around the world. Species identified from these sources were recorded in a database. 
• This report describes the methods used to develop this database and provides an overview of species in the database at July 2017. At July 2017 the database contained approximately 430 plant, 800 vertebrate and 815 exotic invertebrate species identified as invasive or as a concern in countries and regions across the world. Species that were exotic and of concern for two or more countries/regions were further examined for their impacts (environment, agriculture and social), resulting in 160 plant, 177 vertebrate and 208 invertebrate species examined for the purpose of this report. Although a comprehensive evaluation of the impacts of these species was not performed, scanning of literature suggested that 43 per cent of the plants, 58 per cent of the vertebrates and 36 per cent of the invertebrates had at least some documented impacts on the environment in their overseas range. 
• The database is not an official or exhaustive list of exotic species of concern. This project is the first step of a proposed broader invasive species prioritisation framework - the identification of exotic species. The invasive species prioritisation framework has been designed to inform future policy development and to support arrangements for prevention, preparation and national eradication and management. 


Tags: Community Dynamics, Environment, FAUNA Exotic, FLORA Exotic, Invasive Species, biosecurity, environment, invasive species, invertebrate pest, vertebrate pest, weed
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Exceptional Tree Register

The register is a formal list of significant trees in Ballarat. It helps identify and protect exceptional trees on private and public land.

The City of Ballarat’s Exceptional Tree Register includes 4,305 trees from across the municipality. The register offers, for the first time, the opportunity to recognize, celebrate and protect the exceptional trees that exist on private and public land in our city. The Exceptional Tree Register is a compilation of reports on trees that have been nominated by the community, organizations, property managers, staff and tree owners. The trees were assessed by qualified arborists and an expert panel reviewed and recommended these trees for inclusion in the register.
Acknowledgements
The City of Ballarat would like to acknowledge that these exceptional trees grow on the traditional land of the Wadawurrung People.
We would like to thank all individuals who nominated trees and raised the profile of this register. Their efforts allowed us to find the exceptional trees that we celebrate here.
We would like to thank the owners and managing authorities of the properties that the trees are on for their assistance in this process and for being custodians of such important assets in our urban forest.
We would also like to thank our experts who made up our selection panel for their time and effort.

Tags: exceptional, ods-dataset-exceptional-tree-register, significant, tree
Organization: City of Ballarat
HUN Coal Field Contours mga56 V02

## **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 is a shapefile representing the internal boundary lines that divide up the Sydney bioregion into 5 coal fields. A polyline feature created from the NSW coalfield boundaries polygon.

## **Purpose** 

Show extents of coal fields in NSW.

## **Dataset History** 

The boundaries are the internal polylines of the original dataset "NSW Coalfield boundaries" which was derived from structural basin outlines and modified according to the requirements of the standing committee on coalfield geology of NSW.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) HUN Coal Field Contours mga56 V02. Bioregional Assessment Derived Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/f0eb1d62-c7d6-4b96-a9ac-b69901eee3ee.

## **Dataset Ancestors** 

* **Derived From** [NSW Coalfield boundaries](https://data.gov.au/data/dataset/c93d9cbc-22f9-459d-a2d8-e530332393b0)



Tags: New South Wales, Sydney Basin bioregion, economy, geoscientificInformation
Organization: Bioregional Assessment Program
Esperance Bay Seagrass Survey - FRDC (2001/060) 'Characterising the fish habitats of the Recherche Archipelago'

Seagrass and habitat data collected from dive surveys undertaken in April 2001, showing habitat classifications at 1,035 survey sites

Tags: Marine Biology, Marine Plants, Oceans
Organization: School of Plant Biology (SPB), The University of Western Australia (UWA)
2016 SoE Drivers Energy decoupling in Australia, 2009-10 to 2013-14

ABS data displaying Gross Domestic Product, Domestic energy use and energy exports from 2009-10 to 2013-14, indexed to 2008-09 levels.

http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/4604.02013-14?OpenDocument

Figure DRV5 in Drivers report.
https://soe.environment.gov.au/theme/drivers/topic/economic-activity-driver-environmental-change#Figure_DRV5

Tags: 2016, 2016 SoE, Drivers, SoE, SoE Graph, State of the Environment, climate change, drivers, energy, soe
Organization: State of the Environment
Emergency Department Attendances, Admissions, and Admissions by Triage for 1 June 2013 - 30 June 2014

The ED (emergency department) is a hospital or primary health care service that provides initial treatment to patients with a broad spectrum of illnesses and injuries, some of which may be life-threatening and require immediate attention. EDs provide rapid assessment and management of critical illnesses. After initial assessment and treatment, patients are either admitted to the hospital, stabilised and transferred to another hospital for various reasons, or discharged (Australasian College of Emergency Medicine).Upon arrival in the ED, people usually undergo a brief triage, or interview, to help determine the nature and severity of their illness. Individuals with serious illnesses are then seen by a physician more rapidly than those with less severe symptoms or injuries. The data includes patient attendances, admissions and admissions by Triage for 1 June 2013 to 30 June 2014. Definitions include: Attendances - the number of patients recorded as arriving at a public emergency department. Admissions - the number of patients who are subsequently admitted to the hospital for care and/or treatment. Triage categories are allocated to each patient based on an assessment of their presenting conditions, generally by the triage nurse, with triage 1 being the most urgent and triage 5 being the least urgent. (Triage 1: Resuscitation- immediate, within seconds; Triage 2: Emergency- within 10 minutes; Triage 3: Urgent- within 30 minutes; Triage 4: Semi-urgent- within 60 minutes; Triage 5: Non-urgent - within 120 minutes). N/A - Values is less than 3 and has been suppressed.

Tags: Aboriginal and Torres Strait Islander Archaeology, Attendances, Emergency, Emergency Department, Resuscitation, Semi-urgent and Non-urgent., Triage, Urgent
Organization: Department of Health (Western Australia)
eHeritage data

The aim of the eHeritage project, over 2001 to 2012, was to accelerate the use of technology and innovation across the Tasmanian local history and heritage community to make their identity, collections and services more visible and known.  It enabled these organisations to digitise and web publish descriptions (and often images) of their collections and information resources.

The primary output was the eHeritage website http://eheritage.statelibrary.tas.gov.au/ at which 30 organisations regularly added descriptions and images.

The data was presented at the website under 4 key fields:

* Title
* Objects
* Subjects
* Institution

This is represented in the structure of the open data sets.

The website was archived in 2013.  

By then 26,317 rows of raw data had been created that describe items held in cultural collections across Tasmania.  Another 99,704 records were created that relate specifically to the location of gravesites across Tasmania along with transcriptions of the details recorded on tombstones at the sites and often an image as well.

Tags: grave, gravestone, heritage, tasmania, tombstone, transcript
Organization: Libraries Tasmania
IMOS - ANMN New South Wales (NSW) Jervis Bay 70m Mooring

The NSW Jervis Bay 70m Mooring (IMOS platform code: JB070) was deployed at 35.08 S, 150.85 E between July and October 2009. It has not been deployed since and is no longer maintained.

Tags: ANMN, Alkalinity, Australian National Mooring Network, Bathymetry, Biosphere, Buoys, Carbon Dioxide, Conductivity, Fluorescence, Fluorometers, IMOS Facility, IMOS Platform, Inorganic Carbon, JB070, Jervis Bay Mooring, Microbiota, Moored Buoys, Nutrients, Ocean Chemistry, Ocean Circulation, Ocean Currents, Ocean Optics, Ocean Temperature, Oceans, Oxygen, Photosynthetically Active Radiation, Plankton, Turbidity, Water Depth, Water Temperature
Organization: Integrated Marine Observing System (IMOS)
NSW Coal Title Applications 20140331

## **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 coal licence applications applied for 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** 

Under current legislation (Mining Act 1992) the following coal title applications can be made: ALA - Assessment Lease Application, an application to allow retention of mineral rights over an area in which a significant deposit has been identified, but development is not viable in the short term; EL - Exploration Licence Application, an application to explore for Group 9 minerals (coal and oil shale). ML - Mining Lease Application, an application to carry out mining. Appl No Sequential number of the licence applicaton. Act Year The Mining Act under which the title was applied for. The mining act contains the conditions that are in force on the licence. Appl Date The date the application was made. Title Area Area of application Applicant Company making the application Minerals List of minerals targeted by the applicant. Groups The mineral groups which the applcation 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 Coal Title Applications 20140331. Bioregional Assessment Source Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/ed328169-8d0d-49be-a639-bef5ae36f988.

Tags: Central West subregion, Namoi subregion, economy, environment, planningCadastre
Organization: Bioregional Assessment Program
Economics of Australian Soil Conditions 1996/97 – Gross Benefit Acidity ($/ha/yr)

    

Gross Benefit Acidity (gb97a = p97a a pfe97) ($/ha/yr) dataset is one of 11
national surfaces, represented by ~1km grids, relating to economic
opportunities associated with soil condition. All dollar values are given in
1996/97 Australian dollars. There are three sub-types of data in this dataset:
relative yields, gross benefits and impact costs. Each is described as
follows:1. Relative yield (RY): This is the yield of the crop or pasture,
relative to its full potential expressed as a percentage. It is equal to
actual yield divided by potential yield. The relative yield surfaces, measured
as a ratio (0 to 1) and represented with a 1km grid, include: * ry_salt2000;
ry_salt2020: The relative yield of salinity in the year 2000 and 2020*
ry_Acid; ry_Esp: The relative yield from soil acidity and soil sodicity*
ry_min: The limiting factor relative yield a minimum of ry_salt2000, ry_acid,
ry_esp and ry_min.* lim_fact:Factor most limiting yield a of acidity, sodicity
and salinity 2. Gross benefit (GB): The gross benefit is the additional profit
at full equity attainable through agricultural production if the yield-
limiting factor of salinity, acidity or sodicity were repaired without cost.
As such it can be considered an approximate investment ceiling on treating the
soil. The gross benefit grids are measured in $/ha/yr and include:* gb97a;
gb97e; gb97s a for soil acidity; sodicity; salinity* gb97m a the combined
limiting factor gross benefit. 3. Impact cost (ic97s): This is the decline in
agricultural profit at full equity due to worsening dryland salinity severity
and extent over the time period 2000 to 2020. It is measured in $/ha/yr. It is
determined only through changes in crop yield as a consequence of changes in
dryland salinity. Impact cost can be considered the loss in profit at full
equity due to worsening salinity over the 20yr time period. Keywords:
Economics, Natural Resources, Australia, Salinity, Sodicity, Acidity, Soil
Treatment Data is in albers and unprojected, using WGS84 and GDA94.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_easc_r9cl
__08312a01.xml) for more detail.



Tags: abares, agriculture, csiro, economic, humanenvironment, mapping, production, soilchemistry
Organization: South Australian Governments
Groundwater Modelling Report for Duralie Coal Mine

## **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 modelling task undertaken by Heritage Computing on behalf of Yancoal, as a part of their Environmental Impact Assessment for the purposed extension of Duralie Coal Mine.



http://www.gloucestercoal.com.au/documents/Enviro_EAD_DCM_2010_Appendix_B_Groundwater%20Assessment.pdf



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 Yancoal Australia Ltd. Original documentation can be sourced from the following website:



http://www.duraliecoal.com.au

## **Dataset History** 

This report was downloaded from Yancoal Website on 27 August 2013.



http://www.gloucestercoal.com.au/documents/Enviro_EAD_DCM_2010_Appendix_B_Groundwater%20Assessment.pdf

## **Dataset Citation** 

Yancoal Pty Ltd (2014) Groundwater Modelling Report for Duralie Coal Mine. Bioregional Assessment Source Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/ebd54059-a8a0-4c21-bc98-d5ca9f5139fd.

Tags: Gloucester subregion, environment, geoscientificInformation
Organization: Bioregional Assessment Program
Early Learning Centres

This dataset describes the type and location of early learning centres located in Ballarat.

The information was collected as the centres were constructed, or as Council became aware of their existence.

The intended use of the information is to inform the public of the locations of Ballarat's early learning centres.

This dataset is typically updated manually.

Tags: child care, kindergartens, learning, ods-dataet-early-learning-centres
Organization: City of Ballarat
EPBC Act Rated Species Birds - PED

## **Abstract** 

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

Shows the locations of species that are listed under the EPBC Act 1999 and have been recorded in the Biological Database of South Australia or the Atlas of Living Australia.



Current biodiversity data are available from the Atlas of Living Australia at http://www.ala.org.au/

## **Purpose** 

To indicate the locations of species that are listed under the EPBC Act 1999.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka 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) EPBC Act Rated Species Birds - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/eadbf2eb-68e8-4e6f-86c4-bff17ba18118.

Tags: Pedirka subregion, biota
Organization: Bioregional Assessment Program
GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514

## **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 at the time of acquisition.



This dataset was supplied as an outcome of the Hunter Asset Workshop by NSW Office of Water.  



Status and FType fields were updated based on the GDS (groundwater database) data extraction. 

Suggestions of what Asset type should be were added under 'Comments'.



There are 694 bores with Unknown Ftype (listed in 'Unknown' sheet). 

Another data extraction using Brio Query to get the Work Comments info managed to get the work purpose for 600+ bores. 

67 remaining bores or 1% of the bore data with Unknown purpose and status remained.  Data provider suggests remaining 67 bores should be 'NULL' asset.



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 DPI Water (previously known as the NSW Office of Water) at http://www.water.nsw.gov.au/.

## **Purpose** 

This dataset was created to populate missing values for FTYPE in the initial creation of the GW Economic Elements for Hunter (GUID).  The NSW Office of water was supplied with records where FTYPE was unknown and they subsequently queried their database for these records.

## **Dataset History** 

Status and FType fields were updated based on the GDS (groundwater database) data extraction. 

Suggestions of what Asset type should be were added under 'Comments' 



There are 694 bores with Unknown Ftype (listed in 'Unknown' sheet). 

Another data extraction using Brio Query to get the Work Comments info managed to get the work purpose for 600+ bores. 

67 remaining bores or 1% of the bore data with Unknown purpose and status remained.  Data provider suggests remaining 67 bores should be 'NULL' asset.



Note: Source file includes Surface Water records (ones without 'GW' at beginning of BOREID Field need to be excluded if only performing GW analysis)



Only first 2 worksheets are Outputs (Praveen & Unknowns). Others are working spreadsheets for the purpose of extracting the data

## **Dataset Citation** 

NSW Office of Water (2015) GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/e8b6a2f3-2951-4cdd-9570-871441120e02.

Tags: Hunter subregion, New South Wales, economy, geoscientificInformation
Organization: Bioregional Assessment Program
HUN Geological Model Inputs CSIRO 2014 to 2015 v01

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from multiple datasets. 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 resource contains the names and location of deep wells used to construct the geological model, built for the Hunter subregion of the Bioregional Assessment Programme. It includes a shapefile of point locations for the chosen wells and is attributed with the drill hole data relating to latitude, longitude, licencee, operator, depth, dates, reports etc., with a formatted Site_ID field added. The formatted site ID comes from the database table included in the dataset and has been formatted to produce a fixed width (6 digit) number from integer values (e.g. 32 = 000032)

## **Purpose** 

Building of a 3D geological model with stratigraphy and lithology.

## **Dataset History** 

This resource was created from information on the depth, lithology and stratigraphy of well data located within the Hunter Deep Well Completion Reports (GUID: f2df86d5-6749-48c7-a445-d60067109f08) and South Sydney Deep Well Completion Reports (GUID: dbeba812-8f42-4377-a178-608deaf82811). Wells with relevant lithogical data within the Hunter subregion and the adjacent areas within the South Sydney Basin were selected to define the depth and thickness of geological layers within the model. A shapefile of point locations for the chosen wells was created and attributed with the drill hole data relating to latitude, longitude, licencee, operator, depth, dates, reports etc., with a formatted Site_ID field added. The formatted site ID comes from the database table included in the dataset and has been formatted in excel to produce a fixed width (6 digit) number from integer values (e.g. 32 = 000032).

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) HUN Geological Model Inputs CSIRO 2014 to 2015 v01. Bioregional Assessment Derived Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/e54a7708-3cd6-4d5f-b306-0cc9e3ae2c35.

## **Dataset Ancestors** 

* **Derived From** [Hunter deep well completion reports](https://data.gov.au/data/dataset/f2df86d5-6749-48c7-a445-d60067109f08)

* **Derived From** [South Sydney Deep Well Completion Reports](https://data.gov.au/data/dataset/dbeba812-8f42-4377-a178-608deaf82811)



Tags: Hunter subregion, economy, elevation, geoscientificInformation
Organization: Bioregional Assessment Program