AndreaBozzo/ceres-open-data-index huggingface dataset:
eReefs GBR1 and GBR4 model boundary and grid in shapefile format (AIMS)

This dataset consists of shapefiles that correspond to the model grids used in the CSIRO eReefs hydrodynamic and biogeochemical models. These models store their results in multi-dimensional NetCDF files using a curvilinear grid. This dataset corresponds to an extract from these files converting the curvilinear grid into polygons in a shapefile. This dataset only captures the structure of the grid, not the time series data generated by the model. It contains shapefiles of the 4 km model grid (GBR4) and the 1 km grid (GBR1) as well as shapefiles for the bounding polygon of all the 'wet' cells in the model. This dataset is useful for visualising the extent of the various CSIRO eReefs models. 

This dataset contains shapefiles for the 1 km and 4 km eReefs grids, derived from version 2.0 of the eReefs Hydrodynamic model. It contains shapefiles of the individual grid cells and the bounds. It also includes a low resolution version of the bounds suitable for detecting whether locations are inside the eReefs model extent.

The grid shapefile contains polygons representing each of the grid cells. An attribution is associated with each polygon corresponding to the depth used in the model. This can be used to show where the model has 'wet' cells. 

Methods:





Representative data files for the GBR1 and GBR4 hydrodynamic version model were downloaded from the public repository of eReefs model data on NCI. The two common grids GBR1 and GBR4 are used over the model time series and for the both the hydrodynamic and biogeochemical models. We therefore just chose one model NetCDF for each model resolution. These were taken from the hydrodynamic model version 2.




The grid was converted to shapefiles using an R script that calculated the coordinates corners of each curvilinear pixel in the grid based on the centroids of the neighbouring pixels. 




The grid boundary shapefiles were calculated using the merge GIS operation in QGIS after selecting all the 'wet' cells, where the depth was greater than 0.



Full step-by-step instructions and scripts are available to reproduce this dataset from github (https://github.com/eatlas/GBR_AIMS_eReefs-grid-shapefiles).

Format:

Shapefile 

Data Dictionary:

SP_ID: Row and column indices in the NetCDF grid joined together
depth: Depth used in the eReefs model in metres. This is based on the botz variable in the original NetCDF eReefs model data file.
row: Row index in the NetCDF tables for this pixel.
col: Column index in the NetCDF tables for this pixel.

Change Log:
2025-10-16 - Added DOI, ROR and ORCIDs to the record.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: X:\data\custodian\2018-22-eReefs\GBR_AIMS_eReefs-grid-shapefiles
Source code for reproducing this dataset is available on github (https://github.com/eatlas/GBR_AIMS_eReefs-grid-shapefiles).

Organization: Australian Ocean Data Network
Temperate Australian quantitative spatial and temporal abundance data for rocky reef biota (biodiversity): Tasmanian MPA planning surveys and opportunistic surveys

The data is quantitative abundance of fish and megafaunal invertebrates and algal % cover derived from transect based counts at a wide range of locations across Temperate Australia. The methods are described in detail in Edgar and Barrett (1997). Primarily the data are derived from transects at 5 m depth and/or 10 m depth at each site surveyed. 

Methods were initially developed for research on temporal changes following protection in Tasmanian MPAs (Maria Is, Tinderbox, Ninepin Point, Governor Island). Further research has collected data in Tasmania, in MPA planning surveys (e.g. St Helens, Waterhouse Region, Low Head, Lillico Beach, Rocky Cape), an oil spill assessment (Low Head), and in studies and surveys in new Tasmania MPAs (Port Davey and the Kent Group).   The data represented by this record was collected in MPA planning surveys and for opportunistic surveys such as the Low Head oil spill assessment. In many cases the dataset involved temporal replication (year scale).

Tags: Abundance - fish, Abundance - invertebrates, Agriculture | Agricultural Aquatic Sciences | Fisheries, Biosphere | Aquatic Habitat | Reef Habitat, Biosphere | Vegetation | Macroalgae, Carapace length - rock lobster, Fish size class, Oceans | Marine Biology | Fish, Oceans | Marine Biology | Marine Invertebrates, Percentage cover algal species, Shell length - abalone
Organization: Australian Ocean Data Network
Effluent and seawater sampling data from wastewater treatment plant outfalls (NESP MaC 2.4)

This project determined the ecological effect of coastal wastewater treatment plant (WWTP) outfalls in two different coastal settings. Treated effluent, seawater, and marine sediments were collected from two WWTP outfalls located in South Australia (Glenelg &amp; St Kilda). This is a shallow and retentive receiving environment and may accumulate effluent contaminants. Additionally, sediments were collected from another WWTP outfall in New South Wales (Malabar). This deep-water outfall discharges into a highly dispersive environment and offers a point of comparison for contaminant retention with the outfalls located in South Australia. 

Work focused on five contaminants that water quality managers had identified in previous NESP MaC work (Project 1.16) as being highly important: nutrients and metals (traditional effluent pollutants); and antibiotics, per- and poly-fluoroalkyl substances (PFAS), and microplastics (contaminants of emerging concern). 

This record describes the results from the wastewater (effluent) and sea water sampling component of this study. Results from the sediment sampling are described separately by the record 'Sediment sampling data from wastewater treatment plant outfalls' (https://doi.org/10.25959/6W34-6993).

Tags: Antimicrobials, Microplastics, National Environmental Science Program (NESP) Marine and Coastal Hub, PFAS
Organization: Australian Ocean Data Network
Southern Calamari (Sepioteuthis australis) biological data-set

The southern calamari data-set includes all biological data (including length, weight, sex, maturity stage, egg size, and some age information) for southern calamari collected primarily from the east and southeast coasts of Tasmania.

Tags: 23 617005, Age, Agriculture | Agricultural Aquatic Sciences | Fisheries, Dorsal mantle length, Egg size, Maturity stage, Oceans | Marine Biology | Marine Invertebrates, Sepioteuthis australis, Sex, Weight
Organization: Australian Ocean Data Network
2019-20 Honours project - Understanding the changing nature of marine cold spells

This record describes the following:

1) Code for detecting surface temperature mean and variance linear trend from 1982 to 2016.

2) Metrics (mean intensity, duration, and frequency) linear trend of marine cold spells from 1982-2016. This data can be used to plot a global data map of marine cold spell metrics linear trend.

Tags: Marine cold spell mean duration linear trend from 1982-2016 in global scale, Marine cold spell mean frequency frequency linear trend from 1982-2016 in global scale, Marine cold spell mean intensity linear trend from 1982-2016 in global scale
Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - SST - L3S - Single Sensor - 1 month - day time - Australia

This is a single-sensor multi-satellite SSTskin product for 1 month of consecutive day-time periods, derived using observations from AVHRR instruments on all available NOAA polar-orbiting satellites.  It is provided as a 0.02deg x 0.02deg cylindrical equidistant projected map over the region 70°E to 170°W, 20°N to 70°S.  Each grid cell contains the 1 month average of all the highest available quality SSTs that overlap with that cell, weighted by the area of overlap. The diagram at https://help.aodn.org.au/satellite-data-product-information/ indicates where this product fits within the GHRSST suite of NOAA/AVHRR products.  Matchups with buoy SST observations for the central date (adjusted to skin depths) indicate typical 2014 biases of &lt; 0.3 degC and standard deviations of 0.7 degC.  Refer to the IMOS SST products web page at http://imos.org.au/sstproducts.html and Beggs et al. (2013) at http://imos.org.au/sstdata_references.html for further information.

Production of this single sensor product ceased in June 2025, due to decommissioning of the NOAA-18 satellite. Please refer to the following multi sensor product for data after June 2025 - IMOS - Satellite Remote Sensing - SST - L3S - Multi Sensor - 1 month - day time - Australia (https://catalogue-imos.aodn.org.au/geonetwork/srv/eng/catalog.search#/metadata/e3b2531b-a662-43de-9a8b-8e2b385267b3)

Tags: Continents | Antarctica, Countries | Australia, Countries | Fiji, Countries | Indonesia, Countries | Malaysia, Countries | New Caledonia, Countries | New Zealand, Countries | Papua New Guinea, Countries | Philippines, Countries | Timor-Leste, Countries | Vanuatu, Countries | Vietnam, Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Global / Oceans | Southern Ocean, Marine Features (Australia) | Bass Strait, TAS/VIC, Marine Features (Australia) | Great Australian Bight, SA/WA, Marine Features | Strait of Malacca, Oceans | Ocean Temperature | Sea Surface Temperature, Offshore Islands (Australia) | Macquarie Island, Regional Seas | Arafura Sea, Regional Seas | Banda Sea, Regional Seas | Celebes Sea, Regional Seas | Coral Sea, Regional Seas | Java Sea, Regional Seas | Philippine Sea, Regional Seas | Solomon Sea, Regional Seas | South China Sea, Regional Seas | Tasman Sea, Regional Seas | Timor Sea, Remote Sensing | Ocean Temperature | Sea Surface Temperature, States, Territories (Australia) | New South Wales, States, Territories (Australia) | Northern Territory, States, Territories (Australia) | Queensland, States, Territories (Australia) | South Australia, States, Territories (Australia) | Tasmania, States, Territories (Australia) | Victoria, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
Tamar sea level data March-August 2018

Water level heights were measured every 5 minutes at five station locations in the 70km length Tamar estuary, Tasmania, for six months. Pressure loggers deployed in the water recorded total pressure and the inverse barometer effect was accounted for by two additional pressure loggers deployed above ground within 15km of a station. The data include barometric pressure, water temperature, and water level relative to Australian Height Datum (AHD83). The data captures tidal amplification and asymmetry between ebb and flood tides in the estuary for the purpose of a research project completed in 2018 by Karen Palmer. Based on the Tamar estuary model created for NRM North by BMT WBM Pty Ltd using TUFLOW FV (with permission), a new hydrodynamic model was created and calibrated with observed water levels. Different scenarios of sea level rise and bathymetry change were then simulated to model the effects on tidal amplitude and phase.

Organization: Australian Ocean Data Network
D6 Socio-economic benchmark boat-ramp surveys - recreational use patterns

This record relates to recreational use patterns from surveys with recreational boaters at 12 locations around Australia across 2019-2020. The collected recreational use patterns are intended to be indicative of use levels for various marine areas. Use patterns were recorded during face-to-face surveys at boat ramps using gridded maps upon which boaters indicated areas they had visited in the last 12 months along with approximate percentages, indicating the relative time spent at each location.

Data is supplied as modelled frequency of recreational boating trips (per grid cell per year), based on aggregated boat ramp survey data.

Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - SST - L3S - Multi Sensor - 1 day - day and night time - Australia

This is a multi-sensor SSTfnd L3S product for a single 24 hour period, derived using sea surface temperature retrievals from the VIIRS sensor on the Suomi-NPP satellite and JPSS series of satellites, and AVHRR sensor on the NOAA and Metop series of Polar-orbiting satellites. The sensors and satellite platforms contributing to each file are listed in the sensor and platform global attributes in the file header. The SSTfnd is derived by adding a constant 0.17 degC to the NOAA AVHRR SSTskin observations, and 0 degC to the Metop and VIIRS SSTsubskin observations, after rejecting observations with low surface wind speeds (&lt;6 m/s by day and &lt;2 m/s at night). The Multi-sensor L3S product is provided as a 0.02deg x 0.02deg cylindrical equidistant projected map over the region 70E to 170W, 20N to 70S. The quality level for each pixel was remapped using the original ACSPO VIIRS and AVHRR L3U quality levels and Sensor Specific Error Statistics (SSES), as described in Griffin et al. (2017) Appendix at http://imos.org.au/facilities/srs/sstproducts/sstdata0/sstdata-references/, before compositing single swaths from the sensors. Each grid cell contains the 24 hour average of all the highest available quality SSTs that overlap with that cell, weighted by the area of overlap. Refer to the IMOS SST products web page at http://imos.org.au/sstproducts.html for further information.

Tags: Continents | Antarctica, Countries | Australia, Countries | Fiji, Countries | Indonesia, Countries | Malaysia, Countries | New Caledonia, Countries | New Zealand, Countries | Papua New Guinea, Countries | Philippines, Countries | Singapore, Countries | Thailand, Countries | Timor-Leste, Countries | Vanuatu, Countries | Vietnam, Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Global / Oceans | Southern Ocean, Marine Features (Australia) | Bass Strait, TAS/VIC, Marine Features (Australia) | Great Australian Bight, SA/WA, Marine Features | Strait of Malacca, Oceans | Ocean Temperature | Sea Surface Temperature, Offshore Islands (Australia) | Macquarie Island, Regional Seas | Arafura Sea, Regional Seas | Banda Sea, Regional Seas | Celebes Sea, Regional Seas | Coral Sea, Regional Seas | Gulf of Thailand, Regional Seas | Java Sea, Regional Seas | Philippine Sea, Regional Seas | Solomon Sea, Regional Seas | South China Sea, Regional Seas | Tasman Sea, Regional Seas | Timor Sea, Remote Sensing | Ocean Temperature | Sea Surface Temperature, States, Territories (Australia) | New South Wales, States, Territories (Australia) | Northern Territory, States, Territories (Australia) | Queensland, States, Territories (Australia) | South Australia, States, Territories (Australia) | Tasmania, States, Territories (Australia) | Victoria, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
A classification of Tasmanian estuaries and assessment of their conservation significance

A total of 111 estuaries of moderate or large size were recognised around Tasmania and associated Bass Strait islands. The catchments of these estuaries were mapped using GIS, and available data on geomorphology, geology, hydrology and rainfall collated for each estuary and catchment area. Tasmanian estuaries were classified into nine groups on the basis of physical attributes that included salinity and tidal data collected during a field sampling program.

Baseline information on the abundance, biomass and estimated production of macrobenthic invertebrate species was collected during a quantitative sampling program at 55 sites in 48 Tasmanian estuaries. These data were generally obtained at three different intertidal levels and two shallow subtidal depths at each site, and included information on a total of 390 taxa and over 100,000 individuals. Data on the distribution of 101 fish species, as obtained during surveys of 75 Tasmanian estuaries using seine nets by Last (1983) with some supplementary sampling, were also incorporated into the study.

Tags: Aquatic plant density, Benthic invertebrate (>4mm) size, Benthic invertebrate abundance, Benthic invertebrate estimated biomass, Benthic invertebrate estimated productivity, Biosphere | Aquatic Habitat | Estuarine Habitat, Biosphere | Zoology | Invertebrates, Conservation significance, Degradation, Dissolved oxygen, Human impact, Oceans | Coastal Processes | Intertidal Zone, Oceans | Coastal Processes | Lagoons, Oceans | Marine Biology | Marine Plants, Oceans | Marine Sediments | Sediment Grain Size, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, Salinity, Sediment particle size, Temperature
Organization: Australian Ocean Data Network
International trade in Australian Syngnathid species

Assessment of trade in Australian syngnathids was estimated from semi-structured interviews with traditional medicine merchants and aquarium businesses in Perth, Sydney, Adelaide, Brisbane.  A database of official records of international trade in syngnathids was also sourced from Department of Environment &amp; Heritage (Federal).

Tags: Biosphere | Ecological Dynamics | Endangered Species, Oceans | Marine Biology | Fish, Pipefish, Pipehorse, Sea dragons, Seahorse, Syngnathid sp., Trade
Organization: Australian Ocean Data Network
Temperate Australian quantitative spatial and temporal abundance data for rocky reef biota (biodiversity): long-term Tasmanian MPAs - Maria Island

The data is quantitative abundance of fish and megafaunal invertebrates and algal % cover derived from transect based counts at a wide range of locations across Temperate Australia. The methods are described in detail in Edgar and Barrett (1997). Primarily the data are derived from transects at 5 m depth and/or 10 m depth at each site surveyed. Methods were initially developed for research on temporal changes following protection in Tasmanian long-term MPAs (Maria Is, Tinderbox, Ninepin Point, Governor Island), and the data represented by this record has been collected at Maria Island. 

In many cases the dataset involves temporal replication (year scale), particularly for the core Tasmanian MPAs represented by this record.

Tags: Abundance - fish, Abundance - invertebrates, Carapace length - rock lobster, Fish size class, Percentage cover algal species, Shell length - abalone
Organization: Australian Ocean Data Network
Derwent Estuary water sampling (KSA224 assessment 2025)

The aim of this trip was to investigate the salt wedge of the Derwent estuary, looking at the different properties along and across the estuary. This was achieved by examining; temperature, salinity, chlorophyll-a concentration, nutrients (including nitrate, ammonia, phosphate and silicate), pressure, turbidity, fluorescence, dissolved oxygen and pH. Sampling took place in the morning, in sunny, relatively calm conditions with the low tide on the sampling day at approximately 11:04 am. Two transects were used, with three different locations tested along the estuary and four tested across, at the approximate locations: (-42.94014, 147.38385), (-42.96321, 147.57525), (-42.98388, 147.37083), (-42.9795, 147.336), (-42.9744, 147.3585), (-42.97594, 147.36394) and (-42.97616, 147.38914). Sampling consisted of CTD sensor measurements, a plankton net tow, Secchi disk measurements, and a collection of water samples for analysis.

Tags: Salt wedge
Organization: Australian Ocean Data Network
The effect of anthropogenic structures on reproductive output of the northern Pacific seastar (Asterias amurensis) in the Derwent River estuary, SE Tasmania

In the Derwent Estuary (south eastern Tasmania, Australia), the introduced northern Pacific seastar Asterias amurensis is highly abundant and fecund when associated with anthropogenic structures (wharves and marinas). Based on modelled predictions of fertilisation success, seastars at wharf 'hotspots', whilst representing &lt;10% of the total population in the Derwent Estuary, and concentrated in &lt;0.1% of the total area, contribute up to &gt;80% of total larval production in the estuary. 

Reproductive potential of populations at wharf and control sites was quantified (in terms of individual capacity and spatial characteristics of the population. A large scale survey was undertaken in the Derwent estuary (to 27m) to determine spatial distribution of the species. Zygote production (i.e. number of fertilised eggs) was used as a measure of reproductive output and was simulated using empirical estimates of spatial and reproductive parameters of the adult seastars in a spatially explicit model of fertilization (developed by A. Morris and C. Johnson).

Tags: 25 154001, Asterias amurensis, Biosphere | Aquatic Habitat | Reef Habitat, Biosphere | Zoology | Echinoderms, Gonad Index, Gonad mass, Mussel density, Seastar density, Seastar mass
Organization: Australian Ocean Data Network
Estuarine Health in Tasmania, status and indicators: water quality

Conducted under the Coast and Clean Seas program of the Natural Heritage Trust fund, this study provides a summary and assessment of water quality parameters, as indicators of estuarine health, in 22 selected Tasmanian estuaries. The estuaries are: Duck Bay, East Inlet, Black River, Don River, Mersey River, Port Sorell, Boobyalla Inlet, Little Musselroe River, Ansons Bay, Grants Lagoon, Douglas River, Great Swanport, Meredith River, Little Swanport, Earlham Lagoon, Browns River, Cloudy Bay Lagoon, Catamaran River, Cockle Creek, Pieman River, Nelson Bay River and Arthur River (for location, see Fig. 1 in the attached report). Information is summarised on both a State wide and individual estuary basis.

Organization: Australian Ocean Data Network
Antarctic Seafloor Annotated Imagery Database - Classification Catalog

This Classification Catalog shows example images for all biotic labels used in developing the Antarctic Seafloor Annotated Imagery Database (AS-AID). This catalog represents a snapshot of the database at the time of publication of the associated data-paper. The labels used are based on the Australian Morphospecies Catalog, which is an extension of the CATAMI classification scheme. All underlying data are publicly available on Squidle+ (https://squidle.org).

Up to 16 randomly selected images are presented for each classification, alongside a table with the following information:
• Found in campaigns: a list of all campaigns in AS-AID in which this organism has been detected
• Total annotations: the total number of annotations for this label
• VME-taxa: whether this label is identified as a CCAMLR Vulnerable Marine Ecosystem taxa

Organization: Australian Ocean Data Network
Guide to the marine zooplankton of south eastern Australia

The Guide to the Marine Zooplankton of south eastern Australia, is an interactive tool providing a comprehensive, fully illustrated means of identification for the major zooplankton located in south eastern Australia. 

This new identification guide to local marine zooplankton is available online at:

http://www.imas.utas.edu.au/zooplankton

This is the result of collaboration between the Marine Research Laboratories and School of Zoology, University of Tasmania, and the Australian Antarctic Division.

Please note that the full contents of the site will be available on (Free) CD-Rom

Tags: Biosphere | Zoology | Zooplankton, Oceans | Marine Biology | Marine Invertebrates
Organization: Australian Ocean Data Network