AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite-Derived Bathymetry and Seafloor Habitat Classification Mapping of Cocos (Keeling) Islands Marine Park

Parks Australia - Indian Oceans Territory (IOT) Grants Project: Satellite-Derived Bathymetry and Seafloor Habitat Classification Mapping of Cocos (Keeling) Island Marine Park

This project mapped Satellite-derived Bathymetry (SDB) and seafloor habitats at 2m horizontal spatial resolution, for the shallow waters (~0-25 m) of the Cocos (Keeling) Islands Marine Park. SDB data was processed using EOMAP's proprietary software and algorithm package Watcor-X, which generates SDB using multipspectral satellite data. The SDB is based on the physics-based inversion method of the radiative transfer equation which models the pathway of light and its interaction through different media (e.g. atmosphere and water column). The thematic classification of the seabed was based on multispectral satellite image analytics. Satellite imagery was pre-processed by applying a set of image correction procedures to reduce environmental noise, resulting in a standardised reflectance surface of the subsurface and seafloor. The information on seafloor reflectance at different wavelengths was used to run an object-based classification procedure which groups objects of similar spectral characteristics, shape and texture into different classes of major seafloor habitat type.

These critical geospatial data layers provide the essential environmental baseline information for the long-term monitoring and management of the IOT Marine Parks. Having access to digital, georeferenced, high-resolution, satellite-derived maps of bathymetry and benthic habitats of shallow water areas, is of fundamental use in the areas of navigation and safety-at-sea, ecological research, environmental modelling, management and conservation, and monitoring the impacts from climate change.

Tags: Habitat Mapping, Marine Parks, Satellite Mapping, Seafloor Classification
Organization: Australian Ocean Data Network
Coastal Data System - Waves (Skardon River Offshore)

Measured and derived wave parameters from data collected by a wave monitoring buoy anchored at Skardon River Offshore. For more information please refer to www.qld.gov.au/waves.

Field names are;
Hs - Significant wave height, an average of the highest third of the waves in a record (26.6 minute recording period).
Hmax - The maximum wave height in the record.
Tz - The zero upcrossing wave period.
Tp - The peak energy wave period.
Peak Direction - Direction (related to true north) from which the peak period waves are coming from.
SST - Sea Surface Temperature as measured by a sensor embedded in the hull of the buoy.

Organization: Environment, Tourism, Science and Innovation
CAMRIS Marine Benthic Substrate Database - Marsed

This database contains information about the distribution of 10 different types of sea floor sediment in the Australian region. It was derived from data collected and mapped by the Ocean Sciences Institute, University of Sydney.

Tags: Australia, Benthic habitat, CAMRIS, Coastal and Marine Resources Information System, Environmental Sciences not elsewhere classified, Geospatial Information Systems, Physical Oceanography, coast, coastal, marine benthic substrate
Organization: Australian Ocean Data Network
Developing a monitoring program for six key estuaries in North-West Tasmania: Port Sorell

We implemented a monitoring program developed by Crawford and White (2006), which was designed to assess the current condition of six key estuaries in NW Tasmania: Port Sorell, the Leven, Inglis, Black, Montagu and Arthur River estuaries. This study considered a range of water quality and ecological indictors commonly used to monitor estuaries. These included: salinity, temperature, dissolved oxygen, turbidity, pH, nutrients (nitrate + nitrite, dissolved reactive phosphorus and ammonia), silica molybdate reactive and chlorophyll a for the water column; chlorophyll a and macroinvertebrate community structure amongst the sediments. The data represented by this record was collected in Port Sorell.

Tags: Abundance - benthic macroinvertebrates, Ammonia, Benthic macroinvertebrates, Chlorophyll a, Degradation, Dissolved oxygen, Human impact, Monitoring program, Nitrate plus Nitrite, Reactive phosphorus, Salinity, Silica, Temperate Reef, Temperature, Turbidity, pH
Organization: Australian Ocean Data Network
Contours - 1 metre - Queensland - by area of interest

This dataset provides generalised contour information for topographical mapping across selected areas of Queensland. It is derived from unrestricted LiDAR projects collected over several years and generalised to depict elevation features at 1-metre intervals relative to the Australian Height Datum (AHD). It is intended solely for cartographic and visual purposes, not for precision work or modelling.Due to the size, only current projects are available in this dataset. This data cannot be downloaded as the entire State in one single order as it is too large. It can only be extracted via area of interests using the 'clip, zip and ship' functionality. Areas can be selected by local government area, city or suburb (locality) or freehand over small areas. Data does not cover the whole of the State.

Organization: Natural Resources and Mines, Manufacturing and Regional and Rural Development
PISCES 1D configuration model: forcing and output files

This repository contains data files (netCDF format) related to the model configuration developed and used by Joan Llort between 2011 and 2019. The model is a 1D configuration based on PISCES v1 and the specific routines and namelist are here:
https://github.com/jllort/PISCESv1_1D

The data in this repository is organised in two groups:
- The first group contains the forcing files used to create and idealised representation of Southern Ocean water columns. Forcing files were automatically modified to force PISCES models with different mixed layer depth and iron environments. The files presented here are for a single water column but they can be modified using the python routines in the GitHub link above.
- The second group contains the outputs for one of the experiments. We studied the impact of changes in ferricilne, winter mixed layer and summer mixed layer depths over Southern Ocean primary production.

Organization: Australian Ocean Data Network
Identification and control of parasites in hatchery reared Striped Trumpeter (Latris lineata)

This data represents research conducted as part of a PhD project on Striped Trumpeter (Latris lineata). Recorded taxonomy of copopod parasites and investigated potential treatments over the lifecycle of two parasites: caligus and condracantha, in hatchery reared Striped Trumpeter.

Tags: 37 378001, Agriculture | Agricultural Aquatic Sciences | Aquaculture, Biosphere | Ecological Dynamics | Parasitism, Latris lineata, Occurrence, Oceans | Marine Biology | Fish, Prevalence, Survival, Taxonomy
Organization: Australian Ocean Data Network
Fish and invertebrate communities show greater day/night partitioning on tropical than temperate reefs

Diel partitioning of animals within ecological communities is widely acknowledged, yet rarely quantified. Investigation of most ecological patterns and processes involves convenient daylight sampling, with little consideration of the contributions of nocturnal taxa, particularly in marine environments. Here we assess diel partitioning of reef faunal assemblages at a continental scale utilizing paired day and night visual census across 54 shallow tropical and temperate reefs around Australia. Day/night differences were most pronounced in the tropics, with fishes and invertebrates displaying distinct and opposing diel occupancy on coral reefs. Tropical reefs in daytime were occupied primarily by fishes not observed at night (64% of all species sighted across day and night, and 71% of all individuals). By night, substantial emergence of invertebrates not otherwise detected during sunlit hours occurred (56% of all species, and 45% of individuals). Nocturnal emergence of tropical invertebrates corresponded with significant declines in the richness and biomass of predatory and herbivorous diurnal fishes. In contrast, relatively small diel changes in fishes active on temperate reefs corresponded to limited nocturnal emergence of temperate invertebrates. This reduced partitioning may, at least in part, be a result of strong top-down pressures from fishes on invertebrate communities, either by predation or competitive interference. For shallow reefs, the diel cycle triggers distinct emergence and retreat of faunal assemblages and associated trophic patterns and processes, which otherwise go unnoticed during hours of regular scientific monitoring. Improved understanding of reef ecology, and management of reef ecosystems, requires greater consideration of nocturnal interactions. Without explicit sampling of nocturnal patterns and processes, we may be missing up to half of the story when assessing ecological interactions.

Tags: Temperate Reef, biodiversity, continental scale, nocturnal fauna, rocky reefs
Organization: Australian Ocean Data Network
Marine Futures Project - Mount Gardner - reef habitat

The Marine Futures Project was designed to benchmark the current status of key Western Australian marine ecosystems, based on an improved understanding of the relationship between marine habitats, biodiversity and our use of these values. Approximately 1,500 km2 of seafloor were mapped using hydroacoustics (Reson 8101 Multibeam), and expected benthic habitats "ground-truthed" using towed video transects and baited remote underwater video systems. Both sources of information were then combined in a spatial predictive modelling framework to produce fine-scale habitat maps showing the extent of substrate types, biotic formations, etc.

Surveys took place across 9 study areas, including Mount Gardner, a site located just off Two People’s Bay, 30km east of the town of Albany. The area is host to a number of human uses, including recreational and commercial fishing, diving, surfing, recreational boat use and shipping and mining. The marine environment at this location is different to the other three study locations on the south coast, in that it encompasses the protected Two Peoples Bay with seagrass and invertebrate communities and the more exposed rocky and macroalgal reefs around the Mt Gardner peninsula itself.

Tags: Reef habitat, research vessel
Organization: Australian Ocean Data Network
High-resolution (4-km) circum-Antarctic ocean-ice shelf model: Whole Antarctica Ocean Model (WAOM4)

The Whole-Antarctic Ocean Model (WAOM) is based on the Regional Ocean Modelling System (ROMS) with thermodynamic ice shelf interactions following Galton-Fenzi et al. (2012)¹.  WAOM simulations of the present-day (year 2007) were used to investigate the physical drivers of Antarctic ice shelf basal melting via an ocean heat budget in a longitudinal framework.  Ice shelves buttress the Antarctic Ice Sheet and therefore are critical in the dynamics of ice sheet instability and its contribution to sea level rise. New insights into the seasonal melting mechanisms and its importance at circum-Antarctic scale were investigated in Dias et al (2025)².

1) Galton-Fenzi B, Hunter JR, Coleman R, Marsland SJ, &amp; Warner RC.  (2012)  Modeling the basal melting and marine ice accretion of the Amery Ice Shelf, Journal of Geophysical Research: Oceans, 117 (C9).  https://doi.org/10.1029/2012JC008214

2) Boeira Dias F, England MH, Morrison AK, &amp; Galton-Fenzi B. (2025).: On the seasonal variability of ocean heat transport and ice shelf melt around Antarctica, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3905

Tags: Southern Ocean dynamics, ice shelf basal melting, ocean circulation, ocean heat transport, ocean-ice shelf interactions
Organization: Australian Ocean Data Network
Oceanic Shoals / Wessel Island sponge biodiversity data

Between 2009-2012, Geoscience Australia conducted three surveys to Joseph Bonaparte Gulf and the Timor Sea on the R.V. Solander, in collaboration with the Australian Institute of Science and the Museum and Art Gallery of the Northern Territory. The study areas overlapped the Oceanic Shoals Commonwealth Marine Reserve and the carbonate banks and terraces within it. The surveys were conducted as part of the Australian Government's Energy Security Program (2007-2011) and the National Environment Research Program (2011-2015). On the surveys, a benthic sled was deployed to collect biological samples from the seafloor. Samples were sorted onboard according to phylum, photographed and then sent to taxonomists for species-level identifications. This dataset provides a list of all identified sponge species.

The associated image catalogue of collected sponges can be accessed here: https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/1216e0f4-099c-49f6-96f7-ed3eadc0cd15

Organization: Australian Ocean Data Network
Heard Island GNSS Station data V1-V2 2025/26

This dataset includes daily 30-second interval RINEX files converted and merged from GNSS observations between 20 October 2025 and 3 February 2026 (inclusive). The dataset covers the period between Voyage 1 and Voyage 2 HIMI campaigns during the 2025/26 Antarctic season.

Tags: AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA, CONTROL SURVEYS, EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > GLOBAL POSITIONING SYSTEMS, GEOGRAPHIC REGION > POLAR, GNSS RECEIVER > GNSS RECEIVER, GPS > Global Positioning System, SEA LEVEL
Organization: Australian Ocean Data Network
ACCESS1-0 model output prepared for CMIP5 piControl

piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5.

3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions.

Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf
List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf
Output: time series per variable in model grid spatial resolution in netCDF format
Earth System model and the simulation information: CIM repository

Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

Tags: 0399 - Other Chemical Sciences, 0401 - Atmospheric Sciences, 0405 - Oceanography, 0406 - Physical Geography and Environmental Geoscience, Atmospheric Sciences, National Computational Infrastructure (NCI), Oceanography, Other Chemical Sciences (Environmental Chemistry), Physical Geography and Environmental Geoscience
Organization: Australian Ocean Data Network
Dry Tropics Ambient Estuarine water quality monitoring data

These datasets comprise water quality measurements collected under the Dry Tropics Ambient Monitoring Program from freshwater and estuarine monitoring sites across nine systems in the Black Basin north of Townsville. Since 2019, monthly sampling at fixed sites has generated chemical, physical and biological water column profile data using laboratory analyses and in situ measurement instruments. The data support the Townsville Waterways Report Card, enable assessment of long-term trends, and inform environmental management and reporting. Monitoring is undertaken by the Department of the Environment, Science and Tourism (DETSI) and predecessor organisations.

<strong>Monitoring frequency:</strong> Monthly

<strong>Monitoring platform:</strong> Drifting boat or bankside

<strong>Monitored water body:</strong> Tidal waters (estuaries and sheltered coastal), with limited freshwater monitoring

<strong>Monitored location:</strong> Mid stream or mid channel at routine sites and regular depths

<strong>Monitoring site latitude:</strong> Latitude as decimal degrees in GDA94 datum

<strong>Monitoring site longitude:</strong> Longitude as decimal degrees in GDA94 datum

<strong>Secchi depth (m):</strong> Water clarity measured by Secchi disc visibility depth

<strong>Chlorophyll-a (ug/L):</strong> Algal biomass samples collected at 0.2 m depth below the surface

<strong>Physicochemical parameters:</strong> In situ water column profiles are measured from 0.2 m below the surface at 2 m intervals, with a final measurement taken ≥0.5 m above the bottom
<ul>
<li>Dissolved Oxygen concentration (mg/L)</li>
<li>Dissolved Oxygen % saturation (%)</li>
<li>pH</li>
<li>Salinity (PSU)</li>
<li>Specific Conductance at 25 deg C (mS/cm)</li>
<li>Temperature (°C)</li>
<li>Turbidity (NTU)</li>
</ul>

<strong>Nutrient parameters:</strong> samples collected at 0.2 m depth below the surface; dissolved nutrients filtered in-field
<ul>
<li>Ammonia (dissolved) as N (mg/L)</li>
<li>Nitrogen Oxides (NOx: nitrate + nitrite, dissolved) as N (mg/L)</li>
<li>Total Nitrogen as N (mg/L)</li>
<li>Filterable Reactive Phosphorus (dissolved) as P (mg/L)</li>
<li>Total Phosphorus as P (mg/L)</li>
</ul>

Organization: Environment, Tourism, Science and Innovation
Crime Statistics Agency Data Tables - Criminal Incidents

The Crime Statistics Agency (CSA) is responsible for processing, analysing and publishing Victorian crime statistics, independent of Victoria Police.

The CSA aims to provide an efficient and transparent information service to assist and inform policy makers, researchers and the Victorian public.

The legal basis for the Crime Statistics Agency is the Crime Statistics Act 2014, which provides for the publication and release of crime statistics, research into crime trends, and the employment of a Chief Statistician for that purpose.

Under the provisions of the Act, the Chief Statistician is empowered to receive law enforcement data from the Chief Commissioner of Police and is responsible for publishing and releasing statistical information relating to crime in Victoria.

The number and rate of recorded offences in Victoria.

Data Classification - https://www.crimestatistics.vic.gov.au/about-the-data/classifications

Glossary and Data Dictionary - https://www.crimestatistics.vic.gov.au/about-the-data/glossary-and-data-dictionary

Tags: CSA, Crime Statistics Agency, Offences, Recorded crime, Victoria Police
Organization: Crime Statistics Agency
Floor space per ANZSIC in municipality

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024. It shows floor space (in square meters) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation.The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.

This dataset has been <b>confidentialised</b> to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row totals refer to the true total, including those suppressed cells.

To see CLUE block level data for this data set, please refer to the 'Floor space per ANZSIC for blocks' dataset. 

Non-confidentialised data may be made available subject to a data supply agreement. For more information contact cityfacts@melbourne.vic.gov.auFor CLUE block spatial files see <a href="https://data.melbourne.vic.gov.au/explore/dataset/blocks-for-census-of-land-use-and-employment-clue/information/">Blocks for Census of Land Use and Employment (CLUE) — CoM Open Data Portal</a>For more information about CLUE see <a href="http://www.melbourne.vic.gov.au/clue">http://www.melbourne.vic.gov.au/clue</a>For more information about the ANZSIC industry classification system see <a href="http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0">http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0</a>

Tags: anzsic, census-of-land-use-and-employment, clue, clue-blocks, floor-space, industry
Organization: City of Melbourne
Business establishments and jobs data by business size and CLUE industry in municipality

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024. It shows number of jobs and number of business establishments by business size, classified by their CLUE industry for the entire municipality.

Business size is determined by the total number of jobs at each business establishment and is categorised as follows:
<ul><li>Non employing, no jobs allocated to the establishment.</li><li>Small business, 1 to 19 jobs employed at a business establishment.</li><li>Medium business, 20 to 199 jobs employed at a business establishment.</li><li>Larger business, 200 or more jobs employed at a business establishment.</li></ul>

This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell.

Non-confidentialised data may be made available subject to a data supply agreement. For more information contact cityfacts@melbourne.vic.gov.auFor CLUE small area spatial files see <a href="https://data.melbourne.vic.gov.au/explore/dataset/small-areas-for-census-of-land-use-and-employment-clue/map/?location=12,-37.81306,144.94413&amp;basemap=jawg.light">https://data.melbourne.vic.gov.au/explore/dataset/small-areas-for-census-of-land-use-and-employment-clue/map</a>For more information about CLUE see <a href="http://www.melbourne.vic.gov.au/clue">http://www.melbourne.vic.gov.au/clue</a>

Tags: business, bussinesses, census-of-land-use-and-employment, clue, economy, employment, industry, jobs, large-business, medium-business, small-business, sme
Organization: City of Melbourne
Floor space per CLUE industry in municipality

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024. It shows floor space (in square meters) in the entire municipality, classified by their CLUE industry (from ANZSIC1) and small area allocation.The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.

This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row totals refer to the true total, including those suppressed cells.

To see CLUE block level data for this data set, please refer to the 'Floor space per CLUE industry for blocks' dataset. 

Non-confidentialised data may be made available subject to a data supply agreement. For more information contact cityfacts@melbourne.vic.gov.auFor CLUE block spatial files see <a href="https://data.melbourne.vic.gov.au/explore/dataset/blocks-for-census-of-land-use-and-employment-clue/information/">Blocks for Census of Land Use and Employment (CLUE) — CoM Open Data Portal</a>

For more information about CLUE see <a href="http://www.melbourne.vic.gov.au/clue">http://www.melbourne.vic.gov.au/clue</a>

For more information about the ANZSIC industry classification system see <a href="http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0">http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0</a>

Tags: anzsic, census-of-land-use-and-employment, clue, clue-blocks, floor-space, industry
Organization: City of Melbourne