AndreaBozzo/ceres-open-data-index huggingface dataset:
Opticomm Pty Ltd- Declaration -10 February 2026- Multiple

Opticomm Pty Ltd -Declaration given on 10 February 2026 Ref ED26/7737 for 5 nominated service areas:

Project Area Service_Area_Identifier Formatted_address Latlong ID SIP Anticipatory Notice Date Reference Date Completed Comments

1) Elavale Eglinton-S8-9B-10A EGLT 46 Whimbrel Grove Eglinton WA 6034 Australia -31.585654,115.663061 203 28/10/2024 29/01/2026 Declaration on 31/05/2022 was for whole project area. New anticipatory notice given on 28/10/2024 to identify incomplete parts of project area.

2) Flourish South Maclean-S10B STHM 25 Endeavour Circuit South Maclean QLD 4280 Australia	 -27.796461,152.970204 580 9/05/2023 31/01/2026 "Address amended to display within the project area. Previous address: 176-228 Mountain Ridge Rd, South MacLean QLD 4280, Australia"

3) Halcyon Vista-S2D HCYV 54 Quinzeh Creek Rd, Logan Village QLD 4207, Australia	-27.7649018,153.1146563 671 19/01/2024 3/02/2026

4) Halcyon Providence-S1 HCYP 307-443 Barrams Rd, South Ripley QLD 4306, Australia	 -27.6956229,152.8334083 726 19/08/2024 30/01/2026 Boundary amended to display the correct polygon.

5) 129 Harrington Street (The Cove)	HSTR 1001/129 Harrington Street The Rocks NSW 2000 Australia	-33.862647, 151.206551 1029 5/02/2026 28/01/2026 "This MDU is a brownfield and it has multiple SIPs. Opticomm is the SIP for levels 4-43 only."

Organization: SIP Register - OptiComm
Lynham Networks Pty Ltd - Anticipatory Notice for Multiple Project Areas - March 2024 (Partially declared)

Statutory Infrastructure Provider (SIP) - Lynham Networks Pty Ltd- Anticipatory Notice

Anticipatory Notices given 8 March 2024 and the associated project area data for a contract to provide telecommunications network infrastructure to 9 project areas. 

Infrastructure to be installed: FTTP - Fibre to the premises 

Areas:

1) 40-46 Chelsea Avenue, Broadbeach QLD

2) 100 Lakeview Blvd, Mermaid Waters, QLD Declared 17 January 2025

3) 42 The Esplanade & 4 First Avenue, Burleigh Heads QLD - Declared 17 January 2025

4) 146‐148 Surf Parade, Broadbeach QLD - **Declared 30 November 2025**

5) 110 Klumpp Road, Upper Mount Gravatt QLD

6) 29 Finney Road, Indooroopilly QLD Declared 17 January 2025

7) 4-20 Walker Street, Northcote VIC - **Declared 30 November 2025**

8) 99 Derby RdSunshine VIC 3020

9) 455 Northbourne Ave, Lyneham, ACT 2602



Tags: Lynham Networks, broadband, sip, statutory infrastructure provider, telecommunications
Organization: SIP Register - Lynham Networks Pty Ltd
Lynham Networks Pty Ltd - Anticipatory Notice - Multiple - 20 November 2024 (Partially declared)

Lynham Networks Pty Ltd - Anticipatory Notice given on 20 November 2024 for 20 project areas Ref ACMA2020/518-8/ED24/121516

1) 22-24 Hood St,Subiaco WA 6008     

2) 38 Cygnus Parade,Waterford WA 6152

3) 101 Johnson Rd,Bertram WA 6167
 
4) 16 Burton St,Cannington WA 6107 Declared 17 January 2025

5) 263 Hay St,Subiaco WA 6008 - **Declared 30 November 2025**

6) 38 - 46 Stafford Road, Kenwick WA

7) 4 Delmar Parade Dee Why 2099,812 Pittwater Road Dee Why 2099

8) 41 Auburn Rd,Auburn NSW 2144

9) 59-99 Belmont St, Alexandria NSW 2015

10) 15-17 Mollison Street & 35-39 Bank Street, West End 4101

11) 17 The Esplanade,Maroochydore QLD 4558 - **Declared 30 November 2025**

12) 21 Broadbeach Blvd, Broadbeach QLD 4218

13) 14 Maud St,Newstead QLD 4006

14) 3 McKillop Street & 537 Anzac Avenue, Rothwell, QLD 4022 - **Declared 30 November 2025**

15) 42-46 Fleming Road, Hersto, QLD 4006

16) 51-53 Bramston Terrace & 7 Weightman Street, Herston, QLD 4006

17) 99-105 Musgrave Avenue, Labrador, 4215

18) Lot 102 Santa Monica Boulevard, Hope Island,QLD 4212 
 
19) 32 Corinna St, Phillip ACT 2606

20) 26A Beetham Parade, Rosanna,VIC 3084


Tags: Broadband, Lynham Networks, SIP, Telecommunications, statutory infrastructure provider
Organization: SIP Register - Lynham Networks Pty Ltd
IMOS SOOP Sea Surface Temperature Data collected on the Merchant Vessel Highland Chief

This dataset contains Sea Surface Temperature (SST) underway observations collected on trips of a merchant vessel (MV Highland Chief - VROB) between south-east of Australia (Melbourne) and Papua New Guinea, including New Zealand, New Caledonia and Solomon Islands.

The data have been quality controlled by the Bureau of Meteorology.

Enhancement of Measurements on Ships of Opportunity (SOOP)-Sea Surface Temperature (SST) aims to supply near real-time  SST data (within 24 hours) from SOOPs and research vessels in the Australian region.

Tags: Atmosphere | Atmospheric Pressure | Atmospheric Pressure, Atmosphere | Atmospheric Temperature | Air Temperature, Atmosphere | Atmospheric Water Vapor | Dew Point, Coastal Cities / Towns (Australia) | Melbourne, VIC, Countries | New Caledonia, Countries | New Zealand, Countries | Papua New Guinea, Countries | Solomon Islands, Global / Oceans | Pacific Ocean, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Winds | Surface Winds, Regional Seas | Solomon Sea, Regional Seas | Tasman Sea, States, Territories (Australia) | Victoria, air_pressure, air_temperature, latitude, longitude, platform_speed_wrt_ground, sea_surface_temperature, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Opticomm Pty Ltd - Anticipatory Notice- 10 February 2026 - Multiple (Partially Declared 10 February 2026)

OptiComm Pty Ltd - Anticipatory Notice given on 10 Feb 2026- Ref ED26/7737 for 4 project areas: 

Project Area Service_Area_Identifier Estimated_Completion_Date Formatted_address Latlong ID Contract signed Notes

1) 127-133 New Canterbury Road, Lewisham	HPCL 19/01/2027 127 New Canterbury Road Lewisham NSW 2049 Australia -33.896908, 151.150206 1026 27/01/2026

2) Tarneit CLAT 9/10/2029 675 Derrimut Road Tarneit VIC 3029 Australia -37.827065, 144.687924 1027 27/01/2026

3) Paramount Estate SPPE 1/01/2028 Sugarloaf Dr, Baldivis WA 6171, Australia -32.353233, 115.817069 1028 28/01/2026 Address does not display within the SIP and needs to be updated once an address is available.

4) 129 Harrington Street (The Cove)	HSTR 28/01/2026 1001/129 Harrington Street The Rocks NSW 2000 Australia -33.862647, 151.206551 1029 15/01/2025 "Found during internal audit. Whole estate Ready for Service." - **Declared 10 February 2026**

Organization: SIP Register - OptiComm
Temperate Australian quantitative spatial and temporal abundance data for rocky reef biota (biodiversity): Jervis Bay (NSW)

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). The data represented by this record was collected in MPA studies and surveys interstate, and was collected from Jervis Bay (NSW). In many cases the dataset involved temporal replication (year scale).

Tags: Abundance - fish, Abundance - invertebrates, Carapace length - rock lobster, Fish size class, Percentage cover algal species, Shell length - abalone
Organization: Australian Ocean Data Network
Characterization of a Southern Ocean deep chlorophyll maximum: response of phytoplankton to light, iron, and manganese enrichment

Southern Ocean phytoplankton growth is limited by low iron (Fe) supply and irradiance, impacting the strength of the biological carbon pump. Unfavourable upper ocean conditions such as low nutrient concentrations can lead to the formation of deep chlorophyll or biomass maxima (DCM/DBM). While common in the Southern Ocean, these features remain under-studied due to their subsurface location. To increase our understanding of their occurrence, we studied the responses of phytoplankton communities from a Southern Ocean DCM to increasing light, Fe, and manganese (Mn) levels. The DCM communities were light- and Fe-limited, but light limitation did not increase phytoplankton Fe requirements. The greatest physiological responses were observed under combined Fe/light additions, which stimulated macronutrient drawdown, biomass production and the growth of large diatoms. Combined Mn/light additions induced subtle changes in Fe uptake rates and community composition, suggesting species-specific Mn requirements. These results provide valuable information on Southern Ocean DCM phytoplankton physiology.

Tags: deep chlorophyll maximum, iron, light, manganese, photophysiology
Organization: Australian Ocean Data Network
In situ observations of waves in sea ice and sea ice drift near Casey Station (2025)

The dataset comprises in-situ measurements of ocean waves within sea ice and associated sea-ice drift. This is the 2025 repeat deployment consistent with deployments conducted in 2021, 2022 and 2024 (see dataset ID:AAS_4506_Buoys_Casey_2021_2022_2024). In the 2025 field campaign, four OpenMetBuoys (OMBs) (Rabault et al., 2022; https://doi.org/10.3390/geosciences12030110) were deployed on 3 October 2025 along a transect perpendicular to the fast-ice edge. Ice and snow thicknesses at the time of deployment were 60-62 cm and 11-17 cm, respectively. Buoys began to break out in early November. The dataset includes 2-hourly wave spectra, along with corresponding hourly geographic coordinates (longitude and latitude).

Tags: AMD, AMD/AU, BUOYS, CEOS, CONTINENT > ANTARCTICA > CASEY STATION, EARTH SCIENCE > CRYOSPHERE > SEA ICE > POLYNYAS, EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE MOTION, EARTH SCIENCE > OCEANS > OCEAN WAVES, FIELD SURVEYS > FIELD SURVEYS, GEOGRAPHIC REGION > POLAR, WAVE HEIGHT GAUGES, WIND PROFILERS > WIND PROFILERS
Organization: Australian Ocean Data Network
Aerial visual survey of cetaceans and other megafauna in the Bremer Marine Park and surrounding areas (NESP Emerging Priorities Project EP2)

This dataset describes visual sightings of marine megafauna (whales, dolphins and sharks) obtained during a series of dedicated aerial surveys conducted as part of a NESP Marine Biodiversity Hub project within and around the Bremer Marine Park, southern Western Australia. The data reflect 25 hours of observer effort (on transect), and 62 sightings of four identifiable species, including killer whales (Orcinus orca), sperm whales (Physeter macrocephalus), long-finned pilot whales (Globicephala melas), and bottlenose dolphins (Tursiops sp.). Numerous unidentified cetaceans and sharks were also seen. For more information, see: https://www.nespmarine.edu.au/project/ep2-surveying-marine-life-canyons-bremer-bay

Tags: ABUNDANCE, BIOGEOGRAPHY, Bottlenose dolphin, HOTSPOTS, Killer whale, Long-finned pilot whale, Sperm whale, WILDLIFE DISTRIBUTION
Organization: Australian Ocean Data Network
Data and analysis scripts for: Recent acceleration in global ocean heat accumulation by mode and intermediate waters

The ocean absorbs &gt;90% of anthropogenic heat in the Earth system, moderating global atmospheric warming.  However, it remains unclear how this heat uptake is distributed by basin and across water masses.  Here we analyze historical and recent observations to show that ocean heat uptake has accelerated dramatically since the 1990s, nearly doubling during 2010–2020 relative to 1990–2000.  Of the total ocean heat uptake over the Argo era 2005–2020, about 89% can be found in global mode and intermediate water layers, spanning both hemispheres and both subtropical and subpolar mode waters.  Due to anthropogenic warming, there are significant changes in the volume of these water-mass layers as they warm and freshen.  After factoring out volumetric changes, the combined warming of these layers accounts for ~76% of global ocean warming.  We further decompose these water-mass layers into regional water masses over the subtropical Pacific and Atlantic Oceans and in the Southern Ocean.  This shows that regional mode and intermediate waters are responsible for a disproportionate fraction of total heat uptake compared to their volume, with important implications for understanding ongoing ocean warming, sea-level rise, and climate impacts.

The study titled “Recent acceleration in global ocean heat accumulation by mode and intermediate waters” was published in Nature Communications in October 2023.

All datasets are publicly accessible (https://doi.org/10.5281/zenodo.17274477) and are additionally linked to this record.

Tags: earth science, global warming, intermediate water, mode water, ocean circulation, ocean heat content, ocean heat uptake, ocean mixed layer
Organization: Australian Ocean Data Network
Greenwell Point, Shoalhaven Floodplain Management Options Feasibility Study

This document comprises the Floodplain Management Options Feasibility report. It provides an initial feasibility study into three management options for Greenwell Point previously identified by Council for further investigation; construction of levees, raising of Greenwell Point Road and house raising. It also provides a discussion on alternative options which could be considered for floodplain risk management.

Tags: Berrys Canal, Crookhaven, Shoalhaven River
Organization: Shoalhaven City Council
Climate Vulnerability Assessment: Kingfish

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>Kingfish</strong> model in the Marine Fisheries node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the climate suitability for each season, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the five global climate models (GCMs) used for the Marine Fisheries node, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: climate change, climate vulnerability assessment, marine fisheries, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
AUV Imagery and Environmental Data from Gippsland Basin (GA350 - 'Before' survey)

This dataset is part of the Gippsland Marine Environmental Monitoring (GMEM) project. The GMEM was developed in response to stakeholder concerns from the fisheries industry about a Geoscience Australia seismic survey in the Gippsland Basin (GA352 in April 2015), in addition to a broader need to acquire baseline data to be used to quantify impacts of seismic operations on marine organisms. A component of this study was to acquire images of the seafloor before and after the seismic survey for analysis of potential impacts of seismic operations on scallops.

This dataset contains information collected from the AUV-Gavia on survey GA-350 conducted 27 March  3 April 2015. The Gavia is an AUV operated by the Australian Maritime College and includes a single camera and a range of environmental sensors. It was flown at an altitude of XX m at ~ 1.5 m/s with XX megapixel images acquired every XX seconds using a XX lighting system (the latter functional for Stations XX , XX, XX). In addition, Go-Pro cameras were mounted on the AUV's exterior to provide continuous video of the seafloor. The Gavia returned usable still images at 9 sites. This dataset contains the following data types: 1) Geotiffs acquired from the AUV nose cone camera with associated broadcale assessment of image quality on each transect, 2) Go-Pro videos acquired from external AUV mount, 3) optical backscatter, 4) ADCP data, 5) interferometric bathymetry, 6) associated shapefiles and location maps. For each data type, a Word file provides additional data about the folder structure, file types, and post-processing if applicable.

Tags: Data Package, Earth Sciences, HVC_144640, Published_External, marine
Organization: Australian Ocean Data Network
Derwent Estuary and D'Entrecasteaux Channel water sampling (KSA324 assessment 2022)

The main purpose of the study was to gain a greater understanding of the chemical and biological characteristics of sites in the D'Entrecasteaux Channel and offshore of the Derwent Estuary between North West Bay and Betsey Island. Four transects were completed on the 5th and 6th of April 2022 to achieve this.

A SBE 55 ECO Water Sampler Conductivity, Temperature and Depth (CTD) Rosette was used to collect depth, temperature, conductivity, salinity, density, dissolved oxygen, pH, turbidity, fluorescence and pressure data. Water samples collected at three depths using Niskin bottles were used to obtain discrete measurements of oxygen, pH, alkalinity and phosphorous at sea, and discrete measurements of chlorophyll-a, ammonia, NOx, nitrite, nitrate, phosphate and silicate in a laboratory setting. A plankton tow net was used to roughly measure the abundance of plankton at each site and a Secchi disk was used to discern the Secchi depth.

Tags: pH
Organization: Australian Ocean Data Network
Output data for extended optimum multiparameter analysis (OMP) SR3 2018

This dataset contains the input and output data for an extended optimum multiparameter analysis (eOMP). Input data for parameters are given (temperature, salinity, oxygen, nitrate, phosphate and silicate), as obtained from the cited CSIRO open access CTD bottle data for the 2018 SR3 occupation. Output parameters are the proportional contribution of 8 water masses that were defined in the eOMP analysis. The output remineralization estimate, Delta-O, is also given. All data are referenced to depth and geographical position (latitude, longitude) from corresponding CTD bottle data. 

The eOMP used here was configured following Pardo et al. (2017). Details on the equations, parameterization and end-members that characterize the regional oceanography can also be found in the Supplementary Materials of Traill et al. (2023), including the robustness of the OMP analysis and the uncertainties of both the SWTs’ contributions and the ΔO parameter (Sections S1.2 and S1.3, Table S1, Table S2, Table S3).

Organization: Australian Ocean Data Network
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998

Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great Sandy Strait between 6 and 14 December 1998. This was the first comprehensive survey of the Great Sandy region. The survey involved examination of 1,104 field validation points and identified 174 individual meadows. Seagrass extended from the intertidal and shallow subtidal waters to a depth of 32m. Seven species of seagrass were identified (Cymodocea serrulata, Halodule uninervis, Syringodium isoetifolium, Halophila decipiens, Halophila ovalis, Halophila spinulosa and Zostera muelleri) within 22 seagrass meadow/community types. Mapping survey methodologies followed standardised global seagrass research methods for intertidal, shallow subtidal (2‐10m depth) and deep waters (&gt;10m) using both in situ and remote assessments.

View the original metadata record at https://doi.org/10.1594/PANGAEA.876714.

Tags: Benthic habitat, Great Barrier Reef, coastal, deep learning, machine learning, reef
Organization: Australian Ocean Data Network
Seabed area on the Australian continental shelf and Lord Howe Island shelf derived and aggregated from Australian Hydrographic Service's (AHS) seabed area features (sbdare_a) from the 1 degree S57 file series [for NESP D3]

Seabed areas were derived by aggregating and dissolving the boundaries of the 1 degree S57 file series for the Australian continental shelf and Lord Howe Island shelf (200 m). These areas were defined by the Australian Hydrographic Service (AHS).

Tags: COASTLINE, INTERTIDAL
Organization: Australian Ocean Data Network
Great Barrier Reef features

Coastal features within and adjacent to the Great Barrier Reef World Heritage area (such as the Queensland Mainland and Islands, Indicative Reef boundaries and Rocks.). Major coral cay features,major and other coral reef structures (as defined by the reef shoal edge) and tidal, drying or emergent reef areas within the Great Barrier Reef World Heritage Area.

Tags: Benthic habitat, Benthic physical features, marine, mapping
Organization: Australian Ocean Data Network
WA Marine Futures Project - biota

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.

This project record provides linkage to each of metadata records describing data collected from the 9 study areas: Abrolhos Islands, Broke Inlet, Geographe Bay, Jurien Bay, Middle Island, Mount Gardner, Point Ann, Rottnest Island, and Southwest Capes​. To access the source datasets from each study site in their original (unaggregated) form, see child records linked to this parent record.

Tags: Benthic habitat
Organization: Australian Ocean Data Network