AndreaBozzo/ceres-open-data-index huggingface dataset:
NESP MaC Project 5.14 - Learning from the field: a rapid assessment of the composition and ecotoxicology of the harmful algal bloom in South Australia (Adelaide Uni, UTS, IMAS)

This record provides an overview of the NESP Marine and Coastal Hub Emerging Priorities project "Learning from the field: a rapid assessment of the composition and ecotoxicology of the harmful algal bloom in South Australia". For specific data outputs from this project, please see child records associated with this metadata.

A severe harmful algal bloom (HAB) involving Karenia species has affected large areas of the South Australian coastline, including Gulf St Vincent, Spencer Gulf and Investigator Strait. The species composition, toxicity and ecological impact pathways of the bloom remain poorly understood, limiting the ability of agencies to respond to ongoing and future bloom events.

This Emerging Priorities project will conduct a rapid investigation of the composition, toxicity and variability of the South Australian Karenia bloom across sites, depths and bloom stages. Broadscale water sampling will target areas of bloom spread and prolonged exposure, with sampling locations adjusted using satellite chlorophyll maps and field observations.

The project will combine microscopy, qPCR-based species identification and abundance estimates, rotifer bioassays, and brevetoxin screening. Rotifer assays will provide a rapid comparative indicator of aquatic toxicity, while qPCR will identify and quantify Karenia species in the same samples, allowing toxicity results to be linked with species composition and bloom development. Selected field samples and cultured strains will also be screened for brevetoxins in collaboration with allied HAB research initiatives.

Outputs will include baseline information on bloom toxicity and variability, qPCR-linked species composition data, a rapid rotifer assay method, and a foundational dataset linking Karenia community structure with toxicological response. The findings will support SA DEW, Commonwealth agencies and other research users in understanding bloom impact pathways, improving future HAB response, and informing long-term monitoring and marine environmental management.

Outputs
• Integrated harmful algal bloom field, water-quality and toxicology dataset across Gulf St Vincent, Spencer Gulf and Investigator Strait [dataset]
• Karenia species composition and abundance dataset derived from microscopy and qPCR analyses [dataset]
• Toxicity assessment dataset incorporating rotifer bioassays and brevetoxin screening results [dataset]
• Final technical report [written]

Tags: Harmful Algal Bloom (HAB), Karenia spp., National Environmental Science Program (NESP) Marine and Coastal Hub, ecotoxicology, fish health, qPCR
Organization: Australian Ocean Data Network
Great Barrier Reef 10m Grid (GBR10) GBRMP Benthic

The GBR10 benthic habitat type map is the output of a modelling process that combines satellite imagery and other environmental attributes like water depth, slope and wave climate, along with known occurrences of benthic habitat type. The occurrences of benthic habitat type were derived through machine learning applied to geolocated photos of the benthos (&gt;100,000 photos) that were collected along reef flats and reef slopes at various offshore shallow reefs (~100 reefs). The modelling process involves taking those occurrences of benthic habitat at known locations (training data) and using a machine learning model to build a relationship between benthic habitat type and the underlying data layers (imagery, depth, slope, waves). Because the data layers cover the whole Great Barrier Reef, a prediction is then able to be made for benthic habitat across the whole Great Barrier Reef as well. Contextual editing was then used to make changes to the map, based on a set of geomorphology- and ecology-based rules, such as what environment a class can occur in and what classes are able to neighbour each other (object-based rulesets). This map covers the “offshore” or “mid and outer-shelf” reefs of the Great Barrier Reef Marine Park. Some of the occurrences of benthic habitat type are withheld from the process, and used to check how well the mapping performed at the end (validation). The mapping was carried out by the Remote Sensing Research Centre at the University of Queensland.

The scientific method for generating the benthic habitat map can be briefly described as:
1. Ingestion of Sentinel-2 satellite image data, bathymetry and wave climate data derived from Sentinel-2 image data, and various additional derived environmental covariates into Google Earth Engine
2. Stacking of the input data sources into a model-ready environment
3. Running a segmentation routine to create image objects
4. Fitting a supervised machine learning model (e.g. random forest) to known occurrences in order to classify segments into benthic classes
5. Application of object based rules using a range of colour, shape texture and relationship rules to modify the class attribution
6. Validation of mapping accuracy and performance

This is an snapshot of the GBR10 benthic dataset taken on Jan 2023 for the Seamap Australia project from the GBRMP Reef Knowledge System (https://reefiq.gbrmpa.gov.au/ReefKnowledgeSystem), see also https://gbrmpa.maps.arcgis.com/home/item.html?id=492a87d95e8243728486718e7aed02a8. An updated version of the data may be available from the source provider.

Tags: Benthic habitat
Organization: Australian Ocean Data Network
AusSeabed Survey Coordination Tool: source code and mapping services (NESP MaC 1.2)

The AusSeabed Survey Coordination Tool is a web-based tool that provides a central location for, and improve consistency in, the specification of bathymetric data acquisition for scientific research purposes in the Australian marine estate. It was developed to support more coordinated planning of bathymetric, seabed mapping and marine biodiversity data acquisition, recognising that these data are time-consuming and costly to collect and that future survey effort should be directed toward areas of shared end-user priority.

This record describes the source code and associated mapping services for the AusSeabed Survey Coordination Tool, including the front-end submission tool and WMS/WFS services used to publish submitted spatial information. The tool was developed by Geoscience Australia and FrontierSI in collaboration with the broader seabed mapping community, supported by NESP Marine and Coastal Hub Project 1.2.

The Survey Coordination Tool supports three key functions;
1) Survey planning: allows the marine research community to publicise planned surveys by submitting a spatial outline of the intended survey area, target data types, survey focus, chief investigator contact details and anticipated survey dates. Once published, these survey plans are visible through the upcoming surveys spatial layer on the AusSeabed portal.
2) Submission of Hydroscheme Industry Partnership Program (HIPP) requests: the tool hosts the online form for survey requests to the Australian Hydrographic Office for consideration under the Hydroscheme Industry Partnership Programme.
3) Areas of Interest submission: allows users to describe their seabed mapping or biodiversity characterisation data needs with spatial context. These submissions help identify regions of mutual interest, support collaborative multi-disciplinary survey planning, and inform high-value survey activities priorities for legacy data release.

The current maintained source code is available from: https://github.com/ausseabed/survey-request-and-planning-tool
The front-end of the tool is accessible to registered users at: https://coordination.ausseabed.gov.au

This record provides a static archival snapshot of the source code associated with activities supported by NESP Marine and Coastal Hub Project 1.2. For the most current version of the source code, please refer to the GitHub repository.

Tags: Indigenous Protected Areas, National Environmental Science Program (NESP) Marine and Coastal Hub, bathymetric grids, bathymetry, biodiversity characterisation, multibeam, survey planning, survey prioritisation
Organization: Australian Ocean Data Network
2022 Tasmanian Fairy Prion Pachyptila turtur ingested plastics data

In this study, 34 fledgling Fairy Prions (Pachyptila turtur) recovered during a wreck event in south-eastern Tasmania in 2022 were examined for ingested plastics (number, mass, type, colour, and particle size) and body condition (e.g., wing chord length).

Tags: Fairy Prion, Pachyptila turtur, marine debris, plastic pollution, seabird
Organization: Australian Ocean Data Network
Population Density

This resource is a map of coastal population areas for statistical Areas level 2. 

ABS Population and people themed data items published in 2022 by Statistical Areas Level 2 (SA2), 2021
This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the 22 November 2023 release of Data by region (DBR) . Individual data items present the latest reference year data available on DBR. This layer presents data by Statistical Areas Level 2 (SA2), 2021.
The Population and people theme is based on groupings of data within Data by region (DBR). Concepts, sources and methods for each dataset can be found on the Data by region methodology page.
The Population and people theme includes:
    Estimated resident population (including age by sex)
    Births and deaths
    Internal and overseas migration
    Census data
When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope, and coverage can differ across collections. Some data values have been randomly adjusted or suppressed to avoid the release of confidential data. In some cases small cells have been randomly altered to zero. Care should be taken when interpreting cells with small numbers or zeros.

Organization: Australian Ocean Data Network
State Fisheries Queensland

The datasets contain summaries of Queensland logbook data on catch and effort distribution for commercial fisheries in state marine and estuarine waters. The logbook data has been recorded and submitted to QLD  Department of Primary Industries by commercial fishers. The data are aggregated to produce summaries of total catch and effort by fishery at a 6 nm resolution where 5 boats or more operate. For areas where less than 5 boats operate the data is shown as confidential. The data was mapped using 5 year - financial year periods; 2003/04 to 2007/08, 2008/09 to 2012/13, 2018/19 to 2022/23, and 1 year; 2022/23.

Tags: Deepwater_Multi-hook_Line, East_Coast_Inshore_Finfish, East_Coast_Otter_Trawl, Gulf_Inshore_Finfish, Gulf_Line, Other_Fishery, Queensland_Crab, Reef_Line, River__Inshore_Beam_Trawl, Tropical_Rock_Lobster
Organization: Australian Ocean Data Network
Southern Grampians Model of Mustard Suitability 2050

Current suitability model for the commodity of Mustard in 2050 in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models: https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf

Tags: Agriculture, Climate change, Climate suitability, Climatology Meteorology and Atmosphere, Commodities, Cropping, Environment, Farming, Farming, Model
Organization: Southern Grampians Shire Council
Ballarat Landscape Character Assessments

Data from the report 'Mapping Ballarat's Historic Landscape' completed in 2013. This data combines the cultural and social values of distinct character areas within the City of Ballarat. 

Attributes include id, name of the character area, imagine - the values obtained through the Ballarat Imagine community consultation process, description - a link to the id in the Mapping Ballarat's Historic Urban Landscape report, and also a link to the final report. 

Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Ballarat in their use.

Tags: ballarat, ballarat-historic-urban-landscape, character, landscape
Organization: City of Ballarat
NGSC Roads

Polyline data for location of roads registered with council across the Northern Grampians Shire region.

__Field Descriptions__

+ __ref__	NGSC Asset ID
+ __name__	Asset Name
+ __class__	Asset Class
+ __subclass__	Asset Sub Class
+ __type__	Asset Type
+ __subtype__	Asset Sub Type
+ __status__	Asset Status
+ __location__	Location of asset
+ __road__ Address of asset
+ __gid__	NGSC Asset GID
+ **width**	Road Width
+ **width_traffic**	Road Width (Sealed)
+ **route_use**	Heavy Vehicle Road Use 

*Data may not be available for all fields.

Although all due care has been taken to ensure that this data is correct, no warranty is expressed or implied by Northern Grampians Shire Council in its use.

Tags: Transportation, asset management, assets, local government, opencouncildata, roads, transport
Organization: Northern Grampians Shire Council
Strathbogie Shire Vacant Tree Sites 2019

Point data of vacant tree planting sites for six towns within Strathbogie Shire: Avenel, Euroa, Longwood, Nagambie, Strathbogie and Violet Town. Sites estimated using point data from aerial imagery.  Ground validation is required to confirm the viability of each site.  Data used for prioritising locations for increasing ‘Green Infrastructure’.  Data supplied by Urban Forest Consulting.  

Although due care has been taken to ensure that this data is correct, no warranty is expressed or implied by the Strathbogie Shire Council in its use.

Tags: local government, open council data, strathbogie, urban forest, vegetation cover
Organization: Strathbogie Shire Council
(Audit 2019) Crowding on trams/light rail during 2031 PM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during PM peak (4pm to 6pm). Note that any network links below relevant daily volume thresholds are not included. This is why some sections will appear missing or broken, and some links are isolated.

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
Brimbank Athletic Items

Open Space asset features collected since 2007/08 Open Space Inventory & Condition Assessment project. This layer contains point and polygon features for open space assets such as discus rings, run ups, sand pits, shot put rings, steeple chase hurdles, steeple chase jumps and throwing cages.

While all due care has been taken to ensure the dataset is accurate and current, there may be errors or omissions in it. Brimbank City Council and its employees accept no responsibility for the completeness, accuracy or reliability of the data. Brimbank City Council and its employees also accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with using or reliance upon the data in this dataset.

Tags: athletics, open space, sport
Organization: Brimbank City Council
(Audit 2019) Average travel time to nearest five childcare centres by car during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am).

Tags: congestion, crowding, transport, urban transport
Organization: Infrastructure Australia
Southern Grampians Model of Early Stone Fruit Suitability

Current suitability model for the commodity of Early Stone Fruit in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models: https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf

Tags: Agriculture, Climate change, Climate suitability, Climatology Meteorology and Atmosphere, Commodities, Cropping, Environment, Farming, Farming, Model
Organization: Southern Grampians Shire Council
Southern Grampians Model of Summer Quinoa Suitability

Current suitability model for the commodity of Summer Quinoa in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models: https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf

Tags: Agriculture, Climate change, Climate suitability, Climatology Meteorology and Atmosphere, Commodities, Cropping, Environment, Farming, Farming, Model
Organization: Southern Grampians Shire Council
(Audit 2019) Average travel time to nearest hospital by public transport during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am).

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
Brimbank Road Network

This table is a polyline layer of all road centrelines in Brimbank. detailed attributes such as road name, road type, suburb, road hierarchy, and speed limit are included.

While all due care has been taken to ensure the dataset is accurate and current, there may be errors or omissions in it. Brimbank City Council and its employees accept no responsibility for the completeness, accuracy or reliability of the data. Brimbank City Council and its employees also accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with using or reliance upon the data in this dataset.

Tags: Transportation, road, road hierarchy, transport
Organization: Brimbank City Council
Surf Coast Shire Cricket Ovals

This dataset contains the location of Cricket Ovals in the Surf Coast Shire. This material may be of assistance to you but the Surf Coast Shire does not guarantee that the publication is without flaw of any kind or is wholly appropriate for your particular purposes and therefore disclaims all liability for any error, loss or consequences which may arise from your relying on any information contained in this material. 

Tags: cricket, oval, recreation, sport
Organization: Surf Coast Shire Council
Dog Walking Areas - City of Greater Geelong

Polygon areas showing different dog walking areas around City of Greater Geelong. These areas represent if dogs are permitted, and wheter dog walking is permitted on or off the leash. 

This data uses [OpenCouncilData](http://opencouncildata.org/#open-council-data-dog-walking-zones-01 "Open Council Data website") standards.

More specific mapping of dog walking zones can also be found here: http://www.geelongaustralia.com.au/residents/animals/documents/item/8cbe98bd3948293.aspx.

>*Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong in their use.*

Tags: Community, dog, dog-walking, ocd-dogzones-0.1, opencouncildata, pet, walking, zones
Organization: City of Greater Geelong
Parks Australia's Natural Values Ecosystems 2025 (NESP MaC 4.20)

The Parks Australia Management Effectiveness (ME) system - previously MERI - is underpinned by a controlled, common language that provides a nationally consistent lexicon for a) Natural, cultural, and heritage values; (b) Social, cultural, and economic benefits; (c) Activities and anthropogenic pressures; and (d) Biophysical, and social and economic drivers.

The Natural Values component of the common language is defined at three levels: 1) ecosystem complexes; 2) ecosystems; and 3) ecosystem components. This map shows the Ecosystems (tier 2) component of the Natural Values, and delineates features by habitat and depth for the Australian Exclusive Economic Zone (EEZ).

This version (2025) of the National Values Ecosystems dataset uses Geoscience Australia's 250m resolution AusBathyTopo 2024 grid as the basis for the map. The dataset is an interim product between the 2022 version (https://doi.org/10.25959/HEKR-NR42) and an upcoming 2026 revision. The 2025 update incorporates revised and improved input datasets that have become available since the previous release. Several classification rules were updated to align with these inputs, including the use of Seamap Australia National Benthic Habitat Layer data as the primary source for mapped seagrass and coral reef occurrence.

Note that this dataset uses a combination of input data sources and interpolates where data gaps exist. The common language adopts a functional, largely geo-physical perspective to define surrogates for marine ecosystems. This dataset is not a substitute for a validated habitat map (see Seamap Australia National Benthic Habitat Layer: https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/4739e4b0-4dba-4ec5-b658-02c09f27ab9a), but has a national coverage and provides valuable broad-scale categorisation of marine ecosystems in Australian waters.

See Hayes et al. 2021 and Dunstan et al. 2023 for a full definition of the Natural Values Ecosystem terms. See the 'lineage' section of this record for full processing notes.

Tags: MERI, Management Effectiveness (ME), National Environmental Science Program (NESP) Marine and Coastal Hub, Natural Values, monitoring priorities, research
Organization: Australian Ocean Data Network
Shark Bay Malgana seagrass restoration monitoring following transplantation (NESP MaC 1.8)

In March 2020, The University of Western Australia (UWA) and the Malgana Rangers transplanted by hand 36 pieces of Posidonia australis and Amphibolis antarctica into nearby restoration plots at Dubaut Point, Shark Bay. In March 2022 UWA went back to assess survival and shoot growth which is detailed in this dataset.

Tags: Amphibolis antarctica, National Environmental Science Program (NESP) Marine and Coastal Hub, Posidonia australis, restoration, transplantation
Organization: Australian Ocean Data Network