AndreaBozzo/ceres-open-data-index huggingface dataset:
Abalone fishing block 23 - High resolution acoustic data of reef habitat

The principle aim of this project was to map the fine-scale spatial distribution of key abalone habitat impacted by urchins in &lt; 25 m water depth using multibeam acoustic imagery. Detailed substrate type (Pavement Reef, Megaclast Reef, Mixed Consolidated Sediment/Reef and Sand), and kelp coverage maps have been produced for the east coast of Tasmania. Large urchin barrens have been predicted and the minimum quantifiable unit of which small incipient barrens can be detected has been identified using this acoustic water column technique.

This data provides a snapshot of the 2021 distribution of seafloor habitats and associated vegetation distribution, and will assist in the facilitation of strategic decision making for urchin control and abalone management.

Data for download has been split by fishing block (22-24, 27-30). This record describes FISHING BLOCK 23. The following data products are available for download, for each fishing block:
• 50cm resolution bathymetry
• 50cm resolution substrate type (Seamap Australia classification)
• bathymetry derivatives (seabed slope, curvature, rugosity, 1 and 2m contours)
• water column data - 1m mean signal
• water column data - 9m2 raw block statistic
• water column data - vegetation likelihood classification

See associated records for access to data from other fishing blocks (22, 24, 27, 28, 29, 30).

Tags: Centrostephanus rogersii, Haliotis rubra
Organization: Australian Ocean Data Network
Environmental data for layers for baseline Antarctic seafloor biodiversity predictions

This dataset compiles spatial environmental data layers from various sources used for predicting distributional patterns of Antarctic seafloor biodiversity (Jansen et al, in prep). All data layers are projected to polar stereographic (EPSG:3031) at a resolution of 2km.

Data layers include seafloor depth, slope and topographic position index, distance to the nearest underwater canyon head, ocean surface net primary productivity, seafloor water current speeds, temperature and salinity, and modelled availability of ocean surface-derived food at the seafloor.

Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - SNPP - 01 day - Chlorophyll-a concentration (OCI model)

The SNPP satellite platform carries a VIIRS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. 

There are multiple retrieval algorithms for estimating Chl-a. These data use the OCI method (Hu et al 2012, doi: 10.1029/2011jc007395) recommended by the NASA Ocean Biology Processing Group and implemented in the SeaDAS processing software l2gen. The OCI algorithm is described at https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/ (and links therein).

Tags: 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, 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, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Optics | Ocean Color, 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 | Tasman Sea, Regional Seas | Timor Sea, 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
IMOS - Satellite Remote Sensing - SST - L3C - Himawari-8 - 1 hour - Australia

This is a regional GHRSST level 3 collated (L3C) dataset on 0.02-degree rectangular grid over the Australasian domain (70E to 190E, 70S to 20N) based on retrievals from the AHI imager on board Himawari-8 satellite. The Bureau of Meteorology (Bureau) produces Integrated Marine Observing System (IMOS) satellite SST products in the International Group for High Resolution SST (GHRSST) GDS2 file formats for Himawari-8 in real time and delayed mode. This product is composed of reprocessed multi-swath SSTskin retrievals obtained from compositing IMOS Himawari-8 hourly L3C files over the night (before dawn).  

Every 10 minutes, the Himawari-8 full disk is processed to retrieve SSTs by using the Radiative Transfer Model (RTTOV12.3) and Bayesian cloud clearing method based on the ESA CCI SST code developed at the University of Reading. The hourly product on native grid is then produced by compositing over multiple swaths for the previous 1 hour by selecting the highest quality data with priority being given to the value the closest in time to the product nominal hour. The L3C-01hour product on native grid is then remapped over the 0.02-degree IMOS grid to compose IMOS L3C-01hour product (Govekar et al., 2021,  https://www.foo.org.au/wp-content/uploads/2021/11/Govekar_FOO_2021.pdf). The product format is compliant with the GHRSST Data Specification (GDS) version 2.

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, 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, 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
IMOS - Satellite Remote Sensing - SST - L3S - Multi Sensor - 1 month - day and night time - Southern Ocean

This is a multi-sensor SSTfnd L3S product for a one month 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 3E to 158W, 27S to 78S. 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 1 month 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 | New Zealand, 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, Oceans | Ocean Temperature | Sea Surface Temperature, Offshore Islands (Australia) | Macquarie Island, Regional Seas | Tasman Sea, Remote Sensing | Ocean Temperature | Sea Surface Temperature, Sea Surface Temperature Products Sub-Facility, Integrated Marine Observing System (IMOS), States, Territories (Australia) | New South Wales, States, Territories (Australia) | South Australia, States, Territories (Australia) | Tasmania, States, Territories (Australia) | Victoria, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
Collated data inventory of priority species in relation to the Gippsland Offshore Renewable Energy declaration area (NESP MaC 3.21)

This project undertook a rapid exploration of information on a priority subset of species identified by the Department of Climate Change, Energy, the Environment and Water (DCCEEW) and the National Offshore Petroleum Safety and Environment Authority (NOPSEMA) that are listed as critically endangered or endangered under the Environment Protection and Biodiversity Conservation Act 1999. It specifically focused on these species in relation to the Gippsland declaration area, and the adjacent areas to the declaration area in Bass Strait.

This rapid exploration of information was conducted as follows:
1)  identify datasets and information sources relevant to priority species identified by DCCEEW and NOPSEMA for the Gippsland declaration area; 
2)  identify the source of these datasets and information and their level of accessibility;
3)  evaluate the utility of datasets and information identified in 2) for assessments/regulatory processes required to be undertaken by DCCEEW and NOPSEMA; and 
4)  identify what activities would need to be undertaken to improve the accessibility and utility of datasets and information sources identified in 3) that are not currently accessible in useable formats. 

Fifteen priorities species (12 birds, 3 cetaceans) were identified for which publicly-available occurrence data could be located: Australian Gould's Petrel (Pterodroma leucoptera leucoptera), Curlew Sandpiper (Calidris ferruginea), Eastern Curlew (Numenius madagascariensis), Grey-headed Albatross (Thalassarche chrysostoma), Mongolian Lesser Sand Plover (Charadrius mongolus), North-Eastern Siberian Red Knot (Calidris canutus), Northern Royal Albatross (Diomedea sanfordi), Orange-bellied Parrot (Neophema chrysogaster), Swift Parrot (Lathamus discolor), Shy Albatross (Thalassarche cauta), Southern Giant Petrel (Macronectes giganteus), Wedge-Tailed Eagle (Aquila audax), Blue Whale (Balaenoptera musculus), Southern Right Whale (Eubalaena australis), Humpback Whale (Megaptera novaeangliae).

The data attached to this record outlines the data sources and access points located for each of the species listed above.

Tags: Aquila audax, Balaenoptera musculus, Calidris canutus, Calidris ferruginea, Charadrius mongolus, Diomedea sanfordi, Eubalaena australis, Lathamus discolor, Macronectes giganteus, Marine mammals, Megaptera novaeangliae, Migratory parrots, National Environmental Science Program (NESP) Marine and Coastal Hub, Neophema chrysogaster, Numenius madagascariensis, Offshore renewable energy (ORE), Offshore wind energy, Pterodroma leucoptera leucoptera, Seabirds, Shorebirds, Thalassarche cauta, Thalassarche chrysostoma, Threatened, endangered and protected species
Organization: Australian Ocean Data Network
Snapper and King George Whiting occurrence records for species distribution modelling for Range Extending Species Project

Snapper and King George whiting occurrence records were aggregated from the Reef Life Survey dataset, IMAS Archives, the Tassie Fish Frame Collection Program, Atlas of Living Australia and Redmap, in addition to pseudoabsences generated through space and time within the study extent, and matched to environmental covariates (sourced from Copernicus Marine) used for species distribution modelling for FRDC project 2018-070.

The data described by this record contains fisher GPS information and is commercial-in-confidence. Please contact the Principal Investigator (alexia.grabalandry@utas.edu.au) or IMAS.DataManager@utas.edu.au for data access enquiries.

Tags: Chrysophrys auratus, King George whiting, Occurrence and pseudoabsence records for King George whiting and Snapper, Sillaginodes punctatus, Snapper, citizen science, marine climate change
Organization: Australian Ocean Data Network
Presence of urchin barrens from annotated video

Annotations of Centrostephanus rogersii sea urchin barrens derived from towed video at selected key abalone blocks along the east coast of Tasmania. The purpose of the study was to examine the patch dynamics of urchin barrens and to provide validation for the identification of urchin barrens from multibeam surveys.

Tags: Centrostephanus rogersii, Haliotis rubra, Multi-beam validation, Video survey
Organization: Australian Ocean Data Network
Mean hydrography on the continental shelf from 26 repeat glider deployments along Southeastern Australia

Between 2008 and 2015, 26 glider missions have been undertaken along the continental shelf of southeastern Australia. Typically these missions have spanned the continental shelf on the inshore edge of the East Australian Current from 29.5-33.5oS. This comprehensive dataset of over 33,600 CTD casts from the surface to within 5 m of the bottom in water depths ranging 25-200 m provides new and unprecedented high resolution observations of the properties of the continental shelf waters adjacent to a western boundary current, straddling the region where is separates from the coast. 

We present gridded mean fields for temperature, salinity and density, but also dissolved oxygen and chlorophyll-a fluorescence indicative of phytoplankton biomass. This data is presented both as means and for each deployment. The results are gridded onto a grid of 16 cell of 0.25 degrees of latitude and 5 cells in longitude following the 20,50,80,110,140 ,200 isobaths across the shelf
.

Tags: CTD (Conductivity-Temperature-Depth Profilers), Concentration of chlorophyll per unit volume of the water body, Concentration of oxygen {O2} per unit volume of the water body, Countries | Australia, Density of the water body, Depth, Fluorometers, Global / Oceans | Pacific Ocean, IMOS Facility | ANFOG | Australian National Facility for Ocean Glider, Marine Features (Australia) | East Australian Current, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Oceans | Salinity/density | Salinity, Physical Oceanography, Practical salinity of the water body, Regional Seas | Tasman Sea, States, Territories (Australia) | New South Wales, Temperature of the water body
Organization: Australian Ocean Data Network
NESP MaC Project 3.10 - A partnership approach to filling key knowledge gaps on dugongs in northern Australia using novel technologies, 2023-2026 (JCU, CDU, DBCA)

This record provides an overview of the NESP Marine and Coastal Hub small-scale study - Project 3.10 – A partnership approach to filling key knowledge gaps on dugongs in northern Australia using novel technologies. For specific data outputs from this project, please see child records associated with this metadata.

In Australia, the dugong is protected under the EPBC Act 1999 as a listed migratory, and listed marine species, it is also a Matter of National Environmental Significance. The dugong is culturally significant to the coastal Aboriginal and Torres Strait Islander peoples of northern Australia and has a high biodiversity value. This project includes five activities that will contribute to addressing key knowledge gaps about the spatial and temporal patterns in the distribution, abundance, connectivity and health of dugong populations. The project is designed to inform management in several regions of high value habitat across northern Australia. Transversal to the activities described below is a strong partnership approach with Traditional Owners and members of the wider community. The project will be co-designed, co-produced and will co-deliver research and monitoring outputs. The studies will utilise and advance emerging technologies (e.g., aerial images collected from planes and drones, Artificial Intelligence, population genomics) with the ultimate goal of enhancing data quality, reducing research and monitoring costs, and increasing accessibility of monitoring tools to non-experts.

Activity 1: Assessing trends in the distribution and abundance of dugongs during the transition to imagery surveys along the eastern coast of Queensland
Activity 2: Assessing the trends in the distribution and abundance of dugongs during the transition to imagery survey in the Shark Bay and Ningaloo/Exmouth Gulf area
Activity 3: Using population genomics approaches to identify populations and their level of connectivity across northern Australia
Activity 4; Assessing the body size and body condition of dugongs using drone-based photogrammetry
Activity 5: Developing community-led dugong monitoring with traditional owners in the Kimberley region.

Planned Outputs
• Dugong sighting location and count data from observer aerial survey data [spatial dataset]
• Imagery from aerial surveys and photogrammetry
• Genomic sequencing data and tissue samples
• Statistical code or script files
• Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]
• Peer-reviewed open access publication

Tags: National Environmental Science Program Marine and Coastal (NESP MaC) hub, marine
Organization: Australian Ocean Data Network
NERP TE Project 4.1 - Tracking coastal turbidity over time and demonstrating the effects of river discharge events on regional turbidity in the GBR, 2012-2014 (AIMS)

Turbidity is a measure of water clarity that quantifies the amount of small particles suspended in the water, and is a fundamental environmental parameter influencing coastal marine ecosystems. Turbidity reduces the light needed for photosynthesis by corals and seagrasses, and suspended particles also transport nutrients, pollutants and diseases. Previous research based on 3 years of turbidity data collected from 15 inshore reefs by the Reef Rescue Marine Monitoring Program has shown that it can take several months for water clarity to improve after river floods. This project will analyse a 12-year data set to demonstrate the explicit link between variations in discharge (sediments and nutrients) from the major rivers in each Natural Resource Management (NRM) region adjacent to the Great Barrier Reef (GBR) and seasonal and annual variations in water clarity in the inshore GBR.

This project will:





Determine quantitative relationships between river discharges and seasonal and annual variation in inshore water clarity on the GBR adjacent to each NRM region. This is achieved by processing MODIS/Aqua remote sensing (since July 2002) to calculate euphotic depth (water clarity) for the whole GBR and analysing this against  predicted and observed tides, observed waves, wind, rain, river flow data (BOM and DERM daily data) and tidal forcing (Slim model).




Strengthen scientific basis for Reef Rescue and Reef Plan and the refinement of water quality targets.




Provide data to assist validation and calibration of the Receiving Waters Model and a WQ Risk Analysis.



Tags: National Environmental Research Program Tropical Ecosystems Hub, marine
Organization: Australian Ocean Data Network
Benthic photosynthetically active radiation (bPAR or benthic PAR) at Yongala, Myrmidon, Palm Passage and Heron Island South, April 2016 to November 2017 (NESP TWQ 2.3.1, AIMS and IMOS)

This dataset contains benthic photosynthetically active radiation (PAR; bPAR) at the Q-IMOS Myrmidon, Palm Passage and Heron Island South mooring stations from May 2016 through to November 2017.

This dataset was collected to provide in situ reference data for calibration/validation of a remote sensing ocean color model to estimate bPAR (benthic photosynthetically active radiation) as part of NESP Tropical Water Quality Hub project 2.3.1. 
The mooring is maintained as part of the Queensland IMOS (Q-IMOS) mooring network, which collects oceanographic and water quality data at several stations. bPAR sensors were installed at four stations: Myrmidon (MYD), Palm Passage (PPS), Heron Island South (HIS) and Yongala (YGL). 

Methods:

A WETLabs Environmental Characterization Optics (ECO) PARSB sensor was deployed and clamp-mounted to a permanent mooring wire at a fixed depth within the water column in each of three mooring sites, Myrmidon (MYD), Palm Passage (PPS), and Heron Island South (HIS). Each PAR sensor was programmed to collect 5-second blocks of data every 15 minutes. At the fourth site, Yongala (YGL), a SEABIRD SBE16PLUS V2 SEACAT profiler with PARSB auxiliary sensor “facing” upward was deployed 0.5 m above the bottom substrate.

After each period of deployment, data were downloaded and the instrument’s optical component was checked, characterized and tested to ensure the quality and validity of the data between deployments. For each recovery period, the data were analysed and quality controlled such that: (i) data records in the beginning and end of each deployment were excluded to ensure that only stable PAR measurements were included in the analysis, (ii) data points when instrument failure was experienced due to instrument’s internal battery power problems were also excluded. Night-time values were forced to zero by applying an offset based on the dark count readings of the sensor for each deployment period. 

Summary of mooring stations and in situ data collection
Mooring station:    YGL
Latitude: (°S) -19.302
Longitude:  (°E) 147.621
Region: Shallow inshore, seasonally turbid
Nominal station Depth: 30m
Deployment start:19 Sep 2015

Mooring station:    PPS
Latitude (°S): -18.308
Longitude (°E): 147.167
Region: Deep, outer shelf, clear oceanic
Nominal station Depth: 70m
Deployment start: 28 May 2016

Mooring station:    MYD
Latitude (°S): -18.220
Longitude (°E): 147.344
Region: Deep, shelf edge, clear oceanic
Nominal station Depth: 192m
Deployment start: 25 May 2016

Mooring station:    HIS
Latitude (°S): -23.513
Longitude (°E): 151.955 
Region: Shallow inshore, intermediate
Nominal station Depth: 46m
Deployment start: 03 Apr 2016

Data Dictionary:



bPAR: benthic photosynthetically available radiation

bPARoffset: offset (i.e., night time dark readings) corrected bPAR values


Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\nesp2\2.3.1_Benthic-light

Organization: Australian Ocean Data Network