AndreaBozzo/ceres-open-data-index huggingface dataset:
Coral reef health database (Reef Check Australia)

The Reef Check Australia monitoring program acts as an early warning system for coral community health. Annual surveys provide long-term data that can reveal patterns over time. Trained community volunteers collect quantitative data on the Great Barrier Reef and in the Southeast Queensland coral habitats. Data include substrate percent cover, abundance of key invertebrate species and target fish species. Data on natural and anthropogenic impacts on coral community health are also recorded. The Reef Check method is used which is used in 90 countries world-wide, making these results directly comparable globally.

Data units:
Quantitative, integer, discrete (e.g number of fish, invertebrates etc).
Percentage (e.g. percent coral cover)
Categorical (e.g. siltation level: low, medium, high)

Tags: marine
Organization: Australian Ocean Data Network
Reef fish life history, 1995 - 2010 (MTSRF 4.8.3, JCU)

This data set contains life history data from 46 species of coral reef fish from four families (see list below).  The data and samples on which these analyses are based were collected as part of the Effects of Line Fishing Project and the East Torres Strait Coral Reef Fishery Project.  Species included in this data set include:

Labridae: Cheilinus undulatus, Choerodon cyanodus, C. fasciatus, C. schoenleinii, C. venustus

Lethrinidae: Lethrinus atkinsoni, L. lentjan, L. nebulosus, L. olivaceus

Lutjanidae: Aprion virescens, Lutjanus adetii, L. carponotatus, L. fulviflamma, L. gibbus, L. vitta, Symphorus nematophorus

Serranidae: Aethaloperca rogaa, Anyperodon leucogrammicus, Cephalopholis argus, C. boenak, C. cyanostigma, C. microprion, C. miniata, C. sexmaculatus, C. sonnerati, C. urodeta, Epinephelus corillicola, E. cyanopodus, E. fasciatus, E. fuscoguttatus, E. heagonatus, E. howlandi, E. maculatus, E. merra, E. microspilus, E. ongus, E. polyphekadion, E. quoyanus, E. tauvina, Variola albimarginata, V. louti

Data Units:

Length and age frequency, length-weight relationships, von Bertalanffy growth functions, length and age at maturity, length and age at sex change, total mortality (from catch curves), spawning season, reproductive cycles. Not all data are available for all species.

Tags: marine
Organization: Australian Ocean Data Network
Torres Strait Temperature Logger deployed site locations and retrieved data (NERP TE 2.3, AIMS)

As part of the NERP TE project 2.3 temperature loggers were deployed at 15 sites across Torres Strait to measure the sea temperature. The loggers regularly measure the sea water temperature and record it in their memory. Every year or so the loggers are swapped with new loggers and the recorded data is extracted and recorded in the AIMS Real Time Data Systems database as part of the Australia wide Sea Temperature Observing System.

While these loggers do not provide real time data, they provide a vital historical record of conditions across Torres Strait allowing researchers to better understand potential temperature thresholds that might cause coral bleaching and to calibrate satellite measurements of sea temperature.  

At each site loggers were placed at two depths and were located close to islands or cays to facilitate easy maintenance and replacement. This dataset contains the locations of loggers that may not have been recollected from the field yet.

Logger data access:

The data from the retrieved data loggers can be accessed by following the link to the "Logger metadata and data tool" associated with each island. These pages can also be accessed via the interactive map showing the retrieved data. Each site on this map contains a link to the associated metadata and data access for that site.

Format:

1 shapefile, 2 interactive maps.

A shapefile and its interactive map showing the Torres Strait temperature data logger deployed sites. The associated data contains links to pdf files showing the data loggers and their position information.

An interactive map providing access to the retrieved data from the Torres Strait temperature data loggers.

Tags: marine
Organization: Australian Ocean Data Network
NESP MaC Project 4.2 - Assessing dugong distribution and abundance in the southern Gulf of Carpentaria, 2024-2026 (CDU, JCU)

This record provides an overview of the NESP Marine and Coastal Hub study -  Assessing dugong distribution and abundance in the southern Gulf of Carpentaria. For specific data outputs from this project, please see child records associated with this metadata.

Aboriginal ranger groups, Traditional Owners of the southern Gulf of Carpentaria (sGoC), scientists, Queensland, Northern Territory and Commonwealth government representatives will co-design and implement a program that enables a contemporary cross-border understanding of dugong populations and other marine megafauna. The dugong program comprises three parts: 1) Dugong population genetics, 2) a standardised aerial survey in the sGoC, and 3) Indigenous-led drone surveys of marine megafauna hotspots. The collaborative approach will enable contemporary data on abundance, distribution and genetic population structuring to inform local and regional conservation management actions. In combination with other NESP investments in Qld and WA, this program will have applied consistent approaches to dugong population assessment across three states.  This program directly responds to the national priorities of conserving, protecting and sustainably managing biodiversity through research and information management.

Planned Outputs
 • dugong distribution &amp; abundance [spatial dataset]
 • Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]

Tags: National Environmental Science Program Marine and Coastal (NESP MaC) hub, marine
Organization: Australian Ocean Data Network
Historic Sea Surface Temperature of the Great Barrier Reef, 1870 - 2006 (MTSRF 1.1.5, AIMS, source: HadISST 1.1)

The purpose of this study was to characterise spatial and temporal patterns in sea surface temperatures in the Great Barrier Reef.

Annual mean sea surface temperatures (1 degrees latitude-longitude grid size) were derived from the monthly sea surface temperatures  from the Global Sea surface Temperature database 'HadISST 1.1', from the Hadley Centre for Climate Research, United Kingdom Meteorological Office. Original HadISST data are based on smoothed and processed in situ sea instrument surface measurements and satellite derived estimates of SST, compiled for the period 1870 - present (Rayner et al. 2003). The presented version of this dataset are based on annual means of 42 grid cells which were further processed and smoothed. A mean value for the periods 1900 to 1920, and 1980 to 2005, and the differences between these two periods, are also presented.

See Hadley Centre Sea Ice and Sea Surface Temperature data set (HadISST) for the original data source. The original data cover all seas of the World.
http://www.metoffice.gov.uk/hadobs/hadisst/

As part of the Reef Atlas project (now the eAtlas) the Sea Surface Temperature observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Gaussian fit. This produced a gridded version of the dataset and is available as a KML and as ASCII grid files.

Data Units: Mean annual sea surface temperature is in degrees Celsius.

Tags: marine
Organization: Australian Ocean Data Network
Subtidal seagrass distribution, 1994 - 1995 (MTSRF-1-1-5, AIMS, Source: QDPI-F)

Pattern of seagrass distribution in the Great Barrier Reef World Heritage Area

Seagrasses in waters deeper than 15m in the Great Barrier Reef World Heritage Area adjacent to the Queensland coast were surveyed using a camera and dredge towed for 4-6 minutes at 1,429 sites spanning from 10ºS to 25ºS and from inshore out to the reef edge up to 120nm from the coast. At each site seagrass presence, species and biomass were recorded together with depth, sediment, sechii, algae and epibenthos, and proximity to reefs. Seagrasses in this region extend down to 60 m water depths and are difficult to map other than by generating distributions from point source data. Statistical modelling of the seagrass distribution suggests 40,000 km^2 of the bottom has a probability of some seagrass being present. There is strong spatial variability driven in part by the constraint of the Great Barrier Reef’s long, thin shape and physical processes associated with the land and ocean. We map the four main species, Halophila ovalis, H. spinulosa, H. decipiens, and H. tricostata. Distributions of H. ovalis and H. spinulosa show strong depth and sediment effects, whereas H. decipiens, and H. tricostata are only weakly correlated with environmental variables but show strong spatial patterns. Distributions of all species are correlated most closely with depth and the proportion of medium sized sediment.

As part of the Reef Atlas project (now the eAtlas) the seagrass observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasibinomial fit. This produced a gridded version of the dataset and is available as a KML and ASCII grid file.

Data Units: Probability of occurrence (0 to 1).

Tags: marine
Organization: Australian Ocean Data Network
Temperature Loggers Climatology For The GBR Region (NESP TWQ 4.2, AIMS)

The climatology of the GBR temperature loggers is based on the hourly registers from loggers with 10 or more years of data, up to 2012 and for "Slope" and "Flat" locations on the reef. 

The climatology is important as a reference point for comparison of future values. It also allows to compute the anomalies which represent the deviations from an established baseline. The data comes from the AIMS temperature loggers program and contains temperature registers as old as from 1991, providing for some sites, a time series of water temperature for more that 28 years.

The temperature values, normally at 10 minutes interval, are averaged to the hour and the timestamp set to the beginning of the hour. Only good data is used (QC flags 1 and 2) for the calculations. The hourly records are summarised in daily values according to the day-of-the year. The climatology file consist in a csv file (comma separated) with the following variables:

Variable, Description, Possible values



Yday, Day of the year, 1-366

Temp.dmm, Average temperature for the day in °C, 19.4 - 30.7

Temp.dmax, Maximum temperature for the day in °C, 19.4 – 34.4

Temp.dmin, Minimum temperature for the day in °C, 17.1 – 29.9

Temp.dsd, Standard deviation of the daily temperature values in °C, 0.001 – 2.165

Temp.mad, Median absolute deviation of the daily temperature values in °C, 0 – 2.73

Temp.q003, 0.003 quantile of the daily temperature values in °C, 18.49 – 30.18

Temp.q01, 0.01 quantile of the daily temperature values in °C, 18.73 – 30.18

Temp.q10, 0.10 quantile of the daily temperature values in °C, 19.29 – 30.18

Temp.q32, 0.32 quantile of the daily temperature values in °C, 19.40 – 30.36

Temp.q50, 0.50 quantile (the median) of the daily temperature values in °C, 19.40 – 30.57

Temp.q68, 0.68 quantile of the daily temperature values in °C, 19.40 – 30.92

Temp.q90, 0.90 quantile of the daily temperature values in °C, 19.40 – 32.06

Temp.q99, 0.99 quantile of the daily temperature values in °C, 19.40 – 32.58

Temp.q997, 0.997 quantile of the daily temperature values in °C, 19.40 – 32.69


For each of the sites/location a plot of the climatology is also provided in png format.

Organization: Australian Ocean Data Network
NESP MaC Project 1.20 - Scoping Study: Marine and Coastal Threatened Species and Communities, 2021-2022 (UTAS, RRRC)

This record provides an overview of the NESP Marine and Coastal Hub small scale scoping study: Marine and Coastal Threatened Species and Communities.

There are numerous species and ecological communities in Australia’s marine and coastal environments that have formal threatened conservation status. Through a process of targeted reviews, expert elicitation and workshops with end-users, domain experts and others, this project will identify and co-design prospective research projects that best deliver information that will notably improve the status of key selected threatened species in Australia’s marine and coastal environment.  Outputs will include summaries of workshops outcomes and a set of co-designed research proposals for submission in future Hub annual research plans.  This project also provides the platform for MAC Hub contributions to the Resilient Landscapes Hub Cross-Hub Mission Project 7.0 on Threatened and Migratory Species and Ecological Communities.

Planned Outputs
 • Final technical report recommendations for policy makers of key findings for priority research areas [written]

Tags: National Environmental Science Program Marine and Coastal (NESP MaC) hub, marine
Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - MODIS - 01 day - Optical Water Type (Moore et al 2009 algorithm)

The Aqua satellite platform carries a MODIS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These measurements at discrete wavelengths represent the spectrum of light leaving the water surface, and the shape of the spectrum is characteristic of the water optical properties.

Moore et al. (2009) applied a clustering technique to spectra to identify 8 sets of discrete optical water types. This product "owt_csiro" is produced using a CSIRO implementation of the Moore et al. algorithm, and testing shows that it closely reproduces the results of the original Moore et al implementation in the NASA SeaDAS package.  The CSIRO implementation was created because the implementation in SeaDAS has not been kept up to date, and to extend the product to the VIIRS sensor.

roduction of contemporary MODIS data ceased at 2024/12/26. Users requiring similar Ocean Colour Radiometry data beyond 2024 should consider the VIIRS instruments on the SNPP and NOAA20+ series of satellites, also provided by IMOS.

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 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
Australian Marine Parks and Zoning (DAWE)

This dataset corresponds to the zoning of Commonwealth Marine Parks managed by Parks Australia. 

This metadata is a non-authoritative extract maintained for the eAtlas. See links for the original and full metadata. 

Consistent with the Australian Government's commitment to develop a National Representative System of Marine Protected Areas, networks of marine parks have been proclaimed for Commonwealth waters across the North, North-west, South-west, Temperate East and Coral Sea Marine Regions. These networks build on previous marine protected area proclamations, including the South-east Marine Parks Network declared in 2007. This data contains spatial and contextual information about Australian Marine Parks proclaimed under the Commonwealth Government's Environment Protection and Biodiversity Conservation Act 1999, which are managed by Parks Australia, with the addition of Heard Island and McDonald Islands Marine Reserve, which is managed by the Australian Antarctic Division http://www.heardisland.aq/protection-and-management/marine-reserve
It does not include data on marine protected areas in other Australian jurisdictions (e.g. the Great Barrier Reef Marine Park, State/Territory marine parks), or terrestrial protected areas with marine components (e.g. Pulu Keeling National Park).

More information can be found at http://parksaustralia.gov.au/marine
Please note: This data (updated April 30th 2019) contains a technical amendment made on the basis of user feedback. Macquarie Island is the only marine park affected by this amendment. The area calculation for Macquarie Island Marine Park has been under reported by 483km2. This will affect statistical analyses that use the calculated area (KM2) as an input.
Methods:

Format:
This is available in ESRI FileGDB, KML, MIF and Shapefile format.

Data Dictionary:

Attributes include NetName (name of each network) ResName (name of each marine reserve), Zone (type of management zone within each reserve), ZoneIUCN (the IUCN assigned to each zone) NatLegend (to apply symbology), PolygonID (unique ID applied to each polygon area) and Area_km2 (area in square kms). The attributes should be considered authoritative.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\non-custodian\2020-2024\AU_DAWE_Australian-Marine-Parks_2019

Organization: Australian Ocean Data Network
NESP MaC Project 4.17 - Supporting recovery and management of migratory shorebirds in Australia, 2024-2026 (UQ, DU)

This record provides an overview of the NESP Marine and Coastal Hub project 'Supporting recovery and management of migratory shorebirds in Australia'. For specific data outputs from this project, please see child records associated with this metadata.

Coastal Australia is home to 37 regularly occurring migratory shorebird species, with many protected areas including Ramsar sites designated on the basis of shorebird populations. Many migratory shorebirds are declining rapidly, and hence the focus of conservation efforts at multiple levels of government in Australia and overseas. Excitingly, after decades of decline, many of Australia’s migratory shorebird populations are now showing improving trends (NESP MaC Project 1.21 - Australia’s Coastal Shorebirds: Trends and Prospects). However, we do not understand why the birds’ populations are stabilising, or how these gains can be converted into genuine population recovery to previous population levels. This project will combine analyses on more than a million observations of shorebirds banded in Australia with a comprehensive database of management actions to (i) create an annually updatable dashboard providing the key shorebird population parameters of reproductive output and survival, (ii) build a comprehensive database of conservation management actions for migratory shorebirds, indicating which actions are known to benefit reproductive output and survival, and (iii) create a shorebird management handbook that can be used by practitioners to guide action across Australia and around the East Asian – Australasian Flyway. Outputs will support DCCEEW’s international obligations in relation to Ramsar wetlands, the Convention on the Conservation of Migratory Species (CMS), bilateral migratory bird agreements with Japan (JAMBA), China (CAMBA) and the Republic of Korea (ROKAMBA) as well as feed directly into developing the new incarnation of the Australian Government’s Wildlife Conservation Plan for Migratory Shorebirds. Results have a pathway for regional and local implementation through BirdLife Australia’s Migratory Shorebirds Conservation Action Plan.

Planned Outputs
 • Annually updateable dashboard providing estimates of reproductive output and survival
 • Searchable database of conservation management actions for migratory shorebirds
 • Shorebird habitat management handbook that can be used by practitioners
 • Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]

Tags: National Environmental Science Program Marine and Coastal (NESP MaC) hub, marine
Organization: Australian Ocean Data Network
Extent of the Great Barrier Reef coastal zone for investigating coastal management and its impacts on marine life in the context of conservation planning (NERP TE 9.4, JCU)

This dataset contains the extent of the coastal zone for the Great Barrier Reef. This extent was identified as the most suitable area to be investigated on land and at sea as part of a conservation planning project looking at coastal development along the GBR coast.

Methods:

The terrestrial part of the coastal zone was initially defined in consultation with stakeholders and included the Queensland Government’s definition as “either: five kilometres from the coastline; or where land first reaches the height of 10 metres Australian Height Datum (AHD), whichever is further from the coast” (Queensland Coastal Management Plan). However, the Queensland government definition corresponds to a narrow strip of coastline in most areas and does not encompass most of coastal land uses (and their potential future expansion) that have a significant impact on the marine environmental such as agriculture. In the context of biodiversity conservation and water quality, workshop participants were asked what the coastal zone meant to them. The answers were summarised into four main categories:
1- Intensive coastal-based agriculture,
2- Geomorphological characteristics,
3- Typical coastal vegetation, and
4- Human presence and activities.
The coastal zone was defined to include all features that would match these four categories, and that also included the Government’s definition. The marine part of the coastal zone was also defined during this process and the offshore boundary was described as the maximum flood plume extent (secondary flood plume) as in Álvarez-Romero et al. 2013. The extent was smoothed to allow a clear area to be defined. This covers the areas that are have the greatest level of impacts from coastal development, in particular from run-off.

Format:

GBR_coastal_zone.shp (and all associated files as part of the shapefile)
This dataset contains a polygon that defines the extent of the area identified as the most appropriate coastal zone of the Great Barrier Reef to investigate conservation planning, in particular spatial planning of coastal development to ensure the health for the GBR World Heritage Area.

References:

Álvarez-Romero, J. G., M. Devlin, E. Teixeira da Silva, C. Petus, N. C. Ban, R. L. Pressey, J. Kool, J. J. Roberts, S. Cerdeira-Estrada, and A. S. Wenger. 2013. A novel approach to model exposure of coastal-marine ecosystems to riverine flood plumes based on remote sensing techniques. Journal of environmental management 119:194-207.

Organization: Australian Ocean Data Network