AndreaBozzo/ceres-open-data-index huggingface dataset:
IMOS - Ocean Radar - Coral Coast HF ocean radar site (Western Australia, Australia) - Delayed mode sea water velocity

The Coral Coast (CORL) HF ocean radar system covers an area of the Western Australia Coast, Western Australia, an area subject to the variability of the Leeuwin Current (LC) and its coupling with coastal winds, tides, and waves. In this area the LC generates several eddies which control the larval species and the higher marine species and ecosystems in which they forage.

The CORL HF ocean radar system consists of two SeaSonde crossed loop direction finding stations located at Dongara (29.283 S 114.920E) and Green Head (114.967 E 30.073 S).  These radars operate at a frequency of 4.463 MHz, with a bandwidth of 25 KHz, a maximum range of 200 Km and a range resolution of 6 Km.  Within the HF radar coverage area surface currents are measured.

The CORL area of coverage has a small overlap of commonly observed ocean with the Turqoise Coast (TURQ) SeaSonde HF ocean radar system on its southern side, which in turns early overlaps with the Rottnest HF radar node.  Together, the CORL, TURQ and ROT systems provide continuous monitoring of the shelf from Fremantle to Geraldton.

Tags: Coastal Cities / Towns (Australia) | Perth, WA, Countries | Australia, Doppler Frequency, Global / Oceans | Indian Ocean, IMOS Site | CORL | Coral Coast HF ocean radar site, Marine Features (Australia) | Leeuwin Current, Marine Features (Australia) | Perth Canyon, WA, Marine Features (Australia) | Turquoise Coast, WA, Oceans | Coastal Processes | Coral Reefs, Oceans | Ocean Circulation | Eddies, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Circulation | Upwelling, Oceans | Ocean Circulation | Wind-driven Circulation, Physical Oceanography, Radiance Or Imagery | Radio Wave | Radio Wave, SeaSonde (CODAR) HF Radar | Amplitude Direction Finding, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
Historical observations of sea level at Port Arthur, Tasmania

Contains observations of sea level at Port Arthur, Tasmania during the period 1840 to 1842.

A sea level benchmark was struck on a small cliff on the Isle of the Dead, near Port Arthur, Tasmania by T.J. Lempriere and Captain Clark Ross.  Lempriere had previously constructed a tide gauge at Port Arthur where he made observations of the times and heights at approximately high and low water from mid-1837 to at least the end of 1842.

No detailed information about the construction of the tidal gauge appears to have survived and was probably not self recording.

Data includes the date, time and sea level.

Tags: sea level
Organization: Australian Ocean Data Network
IN2019_V01 biogeochemistry

These data are from a voyage (IN2019_V01) on RV Investigator with the Australian Antarctic Division (AAD), that took place during January-March 2019. The Chief Scientist was Mike Double from the AAD. Clara R. Vives collected biogeochemical data on the voyage, and performed a series of incubation experiments for her PhD. The purpose of the study was to investigate the effects of iron and light on phytoplankton growth off East Antarcitca. Data include CTD nutrients, chlorophyll and oxygen as well as underway phytoplankton physiology (measured as the photochemical efficiency) and pCO2. Some data are duplicated but not in exactly the same format on the CSIRO Data Trawler.

Organization: Australian Ocean Data Network
Global Fisheries Landings V2.0 [ARCHIVED VERSION]

NOTE THIS IS AN ARCHIVED VERSION OF THE GLOBAL FISHERIES LANDING DATA. The current version of the data is available from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/5c4590d3-a45a-4d37-bf8b-ecd145cb356d and should be used for all future analyses from 16/01/2019. For any questions about version changes to this dataset, please contact the Point of Contact nominated in this record.

Global fisheries landings supplied by a number of agencies (FAO/UN, CCAMLR, NAFO, ICES etc) are mapped to 30-min spatial cells based on the range/gradient of the reported taxon, the spatial access of the reporting country's fleets, and the original reporting area. This data is associated with types of fishing gears. Estimates of illegal, unreported and unallocated landings are included as are estimates of the weight of fisheries products discarded at sea. Mapping the source of fisheries capture allows investigation of the impacts of fishing and the vulnerability of fishing (with its associate food security implications) to climate change impacts.

Tags: Area (estimated) of ocean surface in the spatial cell, Cephalopod, Common (English) Name, Country, Country Code, Crustacean, Discards, Fish, Fishing, Fishing Gear Code, Gear name in most specific form, Global, Illegal Fishing, Landings, Latitude of centre of spatial cell, Longitude of centre of spatial cell, Mollusc, Pelagic, Rate of Illegal Catch, Rate of associated discards at sea, Reported large-scale fishing catch rate, Scientific Taxonomic Name, Shark, Small scale fisheries catch rate, Spatial Cell Code, Taxon Code, Tuna, Year (Calendar)
Organization: Australian Ocean Data Network
Storm Bay Bathymetry - 5m resolution (FRDC Project 2018/131)

High resolution bathymetry data was collected for Storm Bay, Tasmania as part of the FRDC project 2018-131 'Storm Bay Observing System: Assessing the Performance of Aquaculture Development. Objective 2: Provide a comprehensive map of benthic habitats and bathymetry of the Storm Bay region
and assessment of change at key focus areas'.

Data is supplied as a single Web Map Service of hillshaded bathymetry for the mapped region. Data is available for download as (1) bathymetry, and (2) hillshade tiff files.

Tags: Mapping, Marine, Multibeam
Organization: Australian Ocean Data Network
Geomorphic feature classification for Lord Howe Island and Balls Pyramid shelves

This dataset is a geomorphic classification of the shelf features surrounding Lord Howe Island and Balls Pyramid. This dataset provides information on the size, extent and type of features which occur around the shelves, which can be used for a broad range of marine planning and research purposes.

Shelves were classified into shelf region (inner, mid, outer) and geomorphic features. Features include an extensive submerged fossil reefs, ridges and patch reefs, sandy basins, paleochannels, modern fringing reef, shallow lagoon, shelf edge terraces and shelf break. Broad seafloor features were visually interpreted through digitisation in ArcGIS v10.1 using terminology consistent with international nomenclature and national standards. The classification of geomorphic features extends upon the interpretation of Balls Pyramid shelf undertaken by Linklater et al. (2015). 

Full description of methods is outlined in the following open-access publication, accessible by the following link: https://doi.org/10.3390/geosciences8010011

Version 1 of the data available from https://doi.org/10.17632/8vrtxts669.1

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

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 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 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 | 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
IND214 - Healthcheck: Financial performance

Metric: Profit at full equity ($AUD).

Profit at full equity in fisheries refers to the profitability of all fishing businesses assuming that the businesses have full equity in their operations, meaning there are no outstanding debts associated with the investment in capital. This indicates financial status and performance of the fishery, based on the average performance of all firms in a fishery.

Tags: Economic, Fishery Participants
Organization: Australian Ocean Data Network
IMOS - AusTemp - Degree Heating Days product

This dataset contains the summer Degree Heating Days (DHD) from the 1st of December to the 30th of April since 2012, which is calculated by accumulating the daily positive Sea Surface Temperature anomalies (SSTa). The SSTa is calculated by comparing the current SST to long-term averages (1993-2003, the “CSIRO Legacy climatology” or 2002-2011, the “IMOS climatology”). The magnitude of the DHD correlates well with past coral bleaching events. In cases where SST cannot be calculated due to cloud cover, the grid cell is left blank (white in web plots, transparent in Google Earth) to indicate missing data.

The ReefTemp Next Generation (RTNG) system was implemented and declared operational in the Bureau National Operations Centre (BNOC, formerly National Meteorological and Oceanographic Centre) on 22 October 2013. The system is based on a new state-of-the-art Integrated Marine Observing System (IMOS)  1-day L3S night-only Sea Surface Temperature (SST) product, which produces high-resolution satellite-based nowcasts of SST, thermal stress and associated coral bleaching risk over the Great Barrier Reef.

This product follows on from the decommissioned ReefTemp Next Generation a high resolution mapping product that provided information on coral bleaching risk for the Great Barrier Reef region. The ReefTemp Next Generation system was developed by the Bureau of Meteorology for eReefs, under the National Plan for Environmental Information (NPEI) initiative. A research Version 1 (V1) system, available from 2007, was the result of a collaborative project between the Bureau of Meteorology, CSIRO Marine and Atmospheric Research and the Great Barrier Reef Marine Park Authority.

Tags: Countries | Australia, Countries | Indonesia, Countries | New Caledonia, Countries | Papua New Guinea, Countries | Timor-Leste, 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
Abundance and distribution of coastal, inshore zooplankton in the Huon Estuary and D'Entrecasteaux Channel, Tasmania: Sampling trip 05/04/2005

Mesozooplankton community composition and structure were examined throughout the D’Entrecasteaux Channel, Huon Estuary and North West Bay,  Tasmania, from November 2004 to October 2005, the data represented by this record was collected on the 05/04/2005.

The composition of the mesozooplankton community was typical of inshore, temperate marine habitats, with seasonally higher abundance in summer and autumn and lower numbers in winter and spring. Copepods were the largest contributors to total abundance across all seasons and stations, while cladocerans and appendicularians were proportionally abundant in spring and summer. The faecal pellets of these three main groups, along with those of krill and amphipods, also contributed significantly to material recovered from sediment traps. Meroplanktonic larvae of benthic animals showed short-term peaks in abundance and were often absent from the water column for long periods. Spatially, North West Bay and the Channel had a higher representation of typically marine species, including Calanus australis and Labidocera cervi, while truly estuarine species, such as the copepod Gladioferens pectinatus, were more important in the Huon Estuary.

Tags: Abundance, Agriculture | Agricultural Aquatic Sciences | Aquaculture, Biosphere | Aquatic Habitat | Coastal Habitat, Biosphere | Zoology | Zooplankton, Copepods, Grazing rates, Oceans | Marine Biology | Marine Microbiota, Secondary productivity
Organization: Australian Ocean Data Network
Marine mammal interactions with trawl gear

Underwater video technology was used to observe marine mammal interactions (seals, in particular Australian fur seals) within midwater trawl nets.

A camera system was placed inside the trawl net in the vicinity of a Seal Excluder Device, designed to prevent megafauna from entering the codend of the net and provide an escape point.

Digital video data was described according to a range of operational, catch and interaction fields, and made time-specific to each trawl shot.  Data is linked to commercial catch and effort data providing operational, environmental and catch information.

Tags: 41 131003, Agriculture | Agricultural Aquatic Sciences | Fisheries, Arctocephalus pusillus doriferus, Oceans | Marine Biology | Marine Mammals
Organization: Australian Ocean Data Network
IMOS - Ocean Radar - Coffs Harbour HF ocean radar site (New South Wales, Australia) - Delayed mode wind

The Coffs Harbour (COF) HF ocean radar site is located near the point at which the East Australian Current (EAC) begins to separate from the coast.  Here the EAC is at its narrowest and swiftest: to the north it is forming from the westwards subtropical jet, and to the south it forms eddies and eventually the warm water moves eastwards across the Tasman Sea, forming a front with the cold water of the Southern Ocean.  

The connection between coastal and continental shelf waters is fundamental to the understanding of the anthropogenic impact on the coastal ocean and the role of the ocean in mitigating urban marine water quality. The oceans off Eastern Australia and in particular in the region of New South Wales have a complex circulation structure, and are strongly connected with other regional seas and currents. 

The East Australia Current (EAC) flows from tropical regions southward along the NSW continental slope, bringing tropical biota southward. These current structures provide strong physical and biological connectivity, allowing substantial transport and dispersion of biota between regions, and influencing the transport and upwelling of nutrients, which are fundamental to biological productivity.  

The COF HF ocean radar is a WERA phased array system with 16-element receive arrays located at Red Rock (-23.942 S, 151.371 E) to the north of Coffs Harbour and North Nambucca (-24.111 S, 152.713 E) to the south.  The area of focus is off Coffs Harbour where IMOS and the NSW government have mooring sites.  These radars operate at a frequency of 13.920 MHz, with a bandwidth of 100 KHz and a maximum range of 100 Km.  Within the HF radar coverage area surface currents are measured.  Data are also collected from which wind directions and significant wave height can be calculated.

Tags: Atmosphere | Atmospheric Winds | Surface Winds, Coastal Cities / Towns (Australia) | Coffs Harbour, NSW, Countries | Australia, Doppler frequency, Global / Oceans | Pacific Ocean, IMOS Site | COF | Coffs Harbour HF ocean radar site, Marine Features (Australia) | East Australian Current, Oceans | Coastal Processes | Coral Reefs, Oceans | Ocean Circulation | Eddies, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Circulation | Upwelling, Oceans | Ocean Circulation | Wind-driven Circulation, Oceans | Ocean Waves | Sea State, Oceans | Ocean Waves | Significant Wave Height, Oceans | Ocean Waves | Swells, Oceans | Ocean Waves | Wave Frequency, Oceans | Ocean Waves | Wave Length, Oceans | Ocean Waves | Wave Period, Oceans | Ocean Waves | Wave Spectra, Oceans | Ocean Waves | Wave Speed/direction, Oceans | Ocean Waves | Wind Waves, Oceans | Ocean Winds | Surface Winds, Physical Oceanography, Radiance Or Imagery | Radio Wave | Radio Wave, Regional Seas | Tasman Sea, States, Territories (Australia) | New South Wales, WERA HF Radar | Phased Array
Organization: Australian Ocean Data Network
Marine Futures Project - Broke Inlet - 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.

Surveys took place across 9 study areas, including Broke Inlet, a relatively remote area 400km south of Perth, between the towns of Augusta and Albany. The nearest major town, Manjimup, is situated 100km north and the small coastal settlement Windy Harbour approximately 30km west of Broke Inlet. The Inlet is entirely surrounded by the D’Entrecasteaux National Park, which is accessible via a sealed road and attracts limited ‘through-traffic’ to the area. The marine environment off Broke is one fairly untouched by major tourism pressures and thus this location was selected due to its relative inaccessibility.

Tags: Biotic formations
Organization: Australian Ocean Data Network
Marine Plastic Pollution in Waters around Australia

This data describes the characterisation and estimated concentration of marine plastics in waters around Australia from surface net tows. The marine plastics recorded were predominantly small fragments (‘‘microplastics’’) resulting from the breakdown of larger objects made of polyethylene and polypropylene (e.g. packaging and fishing items).

This data accompanies the following publication:
Reisser J, Shaw J, Wilcox C, Hardesty BD, Proietti M, et al. (2013) Marine Plastic Pollution in Waters around Australia: Characteristics, Concentrations, and Pathways. PLoS ONE 8(11): e80466. doi:10.1371/journal.pone.0080466

Tags: Sea surface plastic concentration, marine debris, microplastics, pollution
Organization: Australian Ocean Data Network
Lithogenic particle flux to the subantarctic Southern Ocean: a multi-tracer estimate using sediment trap samples (publication data)

This dataset contains temporal and compositional data on the Southern Ocean Time Series (SOTS) 1000 m depth sediment trap between 2010 and 2019. This study has added new data on 40 trace metals and isotopes (TEIs) in addition to the sinking particle flux data available on the Australian Ocean Data Network (AODN portal) and published in Wynn-Edwards et al. (2020; Frontiers in Earth Science). The TEI data was collected by strong acid digestion of archived SOTS 1000 m sinking particle samples collected from sediment trap deployments from 2010 to 2019. Following digestion, sinking particle samples were analysed for TEI concentration at the UTAS Central Science Laboratory using High Resolution Inductively Coupled Plasma Mass Spectrometry (HR-ICP-MS). The data presented here contains TEI concentration data, elemental fluxes calculated from the sediment trap mass fluxes (Wynn-Edwards et al., 2020) and a range of lithogenic particle fluxes derived from various upper continental crust concentrations reported in the literature. Several iterations of lithogenic flux are included for key lithogenic tracers Al, Fe, Ti and Th, with some mean fluxes of the combination of these tracers included. Here, several multi-tracer lithogenic fluxes are included based on the inclusion of Th concentrations using isotope dilution or linear calibration methods. 

The final lithogenic fluxes used in the publication are linearly calibrated Al, Ti, Fe and Th flithogenic fluxes and the mean value of these four tracers. Additional V and Pb tracer concentrations were used to assess anthropogenic influences. These results were used to estimate seasonal and interannual lithogenic particle flux in the subantarctic Southern Ocean. Additionally, particle composition, sources and provenance were examined using the attached data. The findings were used to provide an estimate of dust deposition in the subantarctic Southern Ocean south of Australia, contextualised by particle trajectory reanalysis, satellite data products and biogeochemical processes.

Organization: Australian Ocean Data Network
Australian National Gravity Data Collection

Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The gravity data collection contains both onshore and offshore data acquired on geophysical surveys conducted by Commonwealth, State &amp; NT Governments and the private sector. 

Value: Gravity used to infer (model) the presence and position of different rock types in the subsurface. Used in resource assessment 

Scope: Australia continent and some data from marine surveys in region

Tags: DC2020, EARTH SCIENCES, Geophysics, Gravimetrics, Gravity, Gravity Digital Data, Grid, Ground Gravity, HVC - High Value Collection, HVC_144634, Published_External
Organization: Australian Ocean Data Network
AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Southern Ocean zooplankton

Zooplankton are important component of the Southern Ocean ecosystem yet so little is known about the distribution of most species and how this has changes through time. The project used existing data collect from the Southern Ocean Continuous Plankton Recorder Program (https://data.aad.gov.au/aadc/cpr/index.cfm). CPR data from 2000 to 2016 was extracted from the database and paired with environmental data (SST, SST anomaly, IOD, SAM, mixed layer depth). Hierarchical Models of Species Communities (HMSC) was used to model the zooplankton community to make inferences and predictions on the distribution of species and how they have changed through time.

Tags: Joint species distribution model, Species distribution model, climate change, copepod, krill, predictions, salp, sea surface temperature, southern ocean mapping, zooplankton
Organization: Australian Ocean Data Network