AndreaBozzo/ceres-open-data-index huggingface dataset:
Global hillshading from SRTM30_PLUS v8.0 (NERP TE 13.1 eAtlas, source: UCSD)

This dataset consists reprocessing and reformatting the SRTM30 PLUS v8.0 Digital Elevation Model (DEM) dataset developed by Scripps Institute Of Oceanography, University of California San Diego (UCSD) to produce a single raster covering the globe in GeoTiff format and create a full and low resolution hillshading from this DEM. The aim of this derived dataset is to reformat the data to allow easy use with GIS applications.

Full resolution hillshading:

The hillshading was produced by combining the 33 source DEMs using gdal_translate then processing using gdaldem with a z-factor of 0.0001. This output was then formatted as a JPEG compressed GeoTiff file with internal overviews (World_e-Atlas-UCSD_SRTM30-plus_v8_Hillshading.tif).

Low resolution smoothed hillshading:

A lower resolution of the hillshading (World_e-Atlas-UCSD_SRTM30-plus_v8_Hillshading-lr.tif) was also produced for for use when displaying zoomed out global maps. By making the hillshading smoother the bulk features (mountain ranges, etc) are easier to see. 

This was generated by subsampling the DEM by two times (down to 21600x10800 pixels) then smoothing it with a pixel Gaussian filter. This was achieved using gdalwarp to subsample the data. Gdalbuildvrt was then used to create a virtual dataset that included a 4 pixel Gaussian filter kernel.  The hillshading was then applied to this filtered data source using gdaldem with a z-factor of 0.0003, which 3 times stronger than the high resolution version of this dataset.

Tags: marine
Organization: Australian Ocean Data Network
NESP TWQ Project 1.8 - Sub-catchment scale monitoring, modelling and extension design to support reef water quality improvement, 2015-2016 (JCU)



Design of a pilot sub-catchment scale monitoring, modelling and extension program, based on end-user workshop, existing risk assessments, monitoring and modelling programs, for subsequent implementation with farmer’s support to identify reef pollutant “spikes/hotspots”, their causes and the necessary areas for extension to improve management.

Pilot implementation to test the design with the assistance of farmers, extension providers, etc in a particular local area to underpin future initiatives such as nutrient trading. 

Subsequently, implementation, monitoring and evaluation of an extension program based on
any refinements resulting from the pilot study findings.

Use of additional information from implementation as one line of evidence assisting in
development and trialing of market based instruments.


Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Octocorals (soft coral) of the Great Barrier Reef - Spatial interpolation - 1997 - 2008 (MTSRF 1.1.5, AIMS)

The purpose of this study was to quantify patterns in octocoral biodiversity and their environmental drivers on the GBR. The data are based on visual surveys of octocoral communities (soft corals and sea fans) on 163 GBR reefs. Octocorals contain taxa with and without endosymbiotic microalgae (zooxanthellae), and these two groups have contrasting distributions and ecological niches (Fabricius and De’ath 2008). Richness is therefore presented as number of taxa with and without zooxanthellae.

The data set also contains visual estimates of the cover of the main benthos groups such as hard corals, soft corals, macroalgae and crustose coralline algae (unit: percent cover), and estimates of some aspects of the physical environmental conditions at that site such as slope angle, visibility and sedimentation. Data are based on swim surveys by one experienced observer (KF) along ~200 m following the reef contour at each of up to 5 depth zones (between 18 m depth and the reef flat) at each of one to three sites per reef. The Soft_Corals_Reef data are based on reef-averaged data, while the Soft_Corals_Transect data are data from individual transects.

As part of the Reef Atlas project (now the eAtlas) the octocorals observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasibinomial fit for Total macroalgae, Sargassum and Non Sargassum layers, and Quasipoisson fit for the other layers. This produced a gridded version of the dataset and is available as a number of KMLs and ASCII grid data files in WGS84 projection.

Tags: marine
Organization: Australian Ocean Data Network
GBR - Coral calcification, 1672 - 2005 (MTSRF 1.1.5, AIMS)

The purpose of this study was to quantify patterns in skeletal density, linear extension and calcification throughout the GBR based on the AIMS Coral Core Archive of 328 colonies of massive Porites from 69 reefs. Annual data for the three growth parameters, skeletal density, annual extension, and calcification rate (the product of skeletal density and annual extension) were obtained from each colony using standard x-ray and gamma densitometry techniques. The data set contains 16,472 annual records, with corals ranging 10 – 436 years in age, most of which were collected in two periods covering 1983 – 1992 and 2002 – 2005. The oldest colony dates back to 1672.

As part of the Reef Atlas project (now the eAtlas) the calcification observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models. This produced a gridded version of the dataset and is available as a KML. For the original data contact Janice Lough.

Data Units:

Skeletal density: g / cm^3; Annual extension: cm / yr; Calcification: g / cm^2 / yr.

References:



De'ath G, Lough JM, Fabricius KE (2009) Declining coral calcification on the Great Barrier Reef. Science 323: 116-119

Cooper TF, De'ath G, Fabricius KE, Lough JM (2008). Declining coral calcification on the Great Barrier Reef. Global Change Biology 14: 529–538

Lough JM, Barnes DJ (2000) Environmental controls on growth of the massive coral Porites. Journal of Experimental Marine Biology and Ecology 245: 225-243


Tags: marine
Organization: Australian Ocean Data Network
Satellite-derived photic depth (secchi depth) on the Great Barrier Reef (NERP TE 2.3, NERP TE 4.1, eReefs) (UQ, NASA, BOM)

This dataset consists of daily estimates of photic depth on the Great Barrier Reef from MODIS satellite imagery (from 2002 - 2015) using a quasi-analytical algorithm. This algorithm is based on a Type II linear regression of log-transformed satellite and in situ data (2002- 2012).

This algorithm was developed as part of data delivery for several NERP projects and was implemented into the NASA SeaDAS tool for processing MODIS imagery. This algorithm and its data products are now routinely run by the Bureau of Meteorology as part of the eReefs Water Quality Dashboard.

The data produced from this algorithm were key input datasets for the analysis of NERP TE project 4.1 and integrated as part of the NERP TE 2.3 GBR/TS environmental conditions reports.

Method:

The satellite imagery was first broken down into its estimated Inherent Optical Properties (IOP) using a quasi-analytical algorithm, outlined in [1]. This process converts the multi-spectral satellite images into an estimate of the various optical properties of the water such as backscattering and absorption of the water. The IOPs were then used to estimate the depth where 10% of the surface light (PAR) level was still available (Z10%). 
A regression of the in situ ZSD (secchi depth) values against the matching satellite estimates of Z10% was used to adjust the satellite-derived Z10% to ZSD. A Type II linear regression (RMA) of log-transformed satellite and in situ data was used to estimate ZSD for the GBR according to: 
ZSD = 10^[{log10 (Z10%) - a0}/a1]
where a0 and a1 are 0.529 and 0.816 for MODIS-Aqua (N = 71; r2 = 0.83; RMSE = 0.096).

The regional tuning parameters a0 and a1 were determined by regression between satellite and in-situ secchi depth measurements from AIMS and QDPI.

More details about the methods used to create this dataset can be found in [2].

Format:

This data is available in NetCDF raster format from the BOM Marine Water Quality THREDDS server. This server also makes the data available various formats from the following services: OpenDAP, WMS and WCS.
http://ereeftds.bom.gov.au/ereefs/tds/catalogs/ereefs_data.html

The data for this dataset is available in the mwq P1D Aggregation, mwq P1W Aggregation, mwq P1M Aggregation, mwq P6M Aggregation, mwq P1A Aggregation service end points. These correspond to daily and weekly, monthly, 6 monthly and annual aggregates respectively. The secchi depth estimates correspond to the SD_MIM_* data layers in the service end points.

References:





Lee, Z.; Carder, K.L.; Arnone, R.A. Deriving inherent optical properties from water color: A multiband quasi-analytical algorithm for optically deep waters. Appl. Opt. 2002, 41, 5755–5772.




Weeks, S.; Werdell, P.J.; Schaffelke, B.; Canto, M.; Lee, Z.; Wilding, J.G.; Feldman, G.C. Satellite-Derived Photic Depth on the Great Barrier Reef: Spatio-Temporal Patterns of Water Clarity. Remote Sens. 2012, 4, 3781-3795.



Tags: marine
Organization: Australian Ocean Data Network
Reproductive biology of two small-bodied sharks, Carcharhinus coatesi and Rhizoprionodon acutus, in the Northern Territory, Australia

Sharks and rays are widely perceived to have slow reproductive rates and, thus, are often considered highly suspectable to population declines from commercial fishing. However, the reproductive biology of sharks is highly diverse, and some species can sustainably support significant commercial harvest. Small sharks are commonly caught and discarded as bycatch in several Australian and international fisheries. This represents either a wasted resource that could potentially be sustainably utilised, or a potential conservation issue if overharvesting occurs. This study examines the reproductive biology of two small-bodied sharks in the Northern Territory, Australia. Australian Carcharhinus coatesi (n = 726) and Rhizoprionodon acutus (n = 179) were collected between May 2018 and November 2019 from commercial trawl fisheries. 

Metadata record contains life history information for two shark species: C. coatesi and R. acutus. It contains length measurements, weights and measurements for reproductive biology. It also contains spatial and temporal information from approximately where sharks were caught.

Tags: Carcharhinus coatesi, Elasmobranch, Rhizoprionodon acutus, bycatch, fisheries sustainability, reproduction
Organization: Australian Ocean Data Network
GBR - Lagoon water quality data (Chlorophyll, Suspended Solids, Nutrients) - Spatial interpolation - 1988 - 2006 (MTSRF 1.1.5, AIMS)

The purpose of this study is to quantify spatial and temporal patterns in water quality of the GBR.

Surface water quality data collected by Miles Furnas and colleagues (AIMS) between 1988 and 2006. Niskin or bucket surface water samples and laboratory analyses of a suite of physical and chemical water quality data, including chlorophyll, suspended solids (SS), and the following nutrients: particulate phosphorus (PP), particulate nitrogen (PN), total dissolved phosphorus (TDP), total dissolved nitrogen (TDN), total phosphorus (TP = PP + TDP), total nitrogen (TN = PN + TDN).

The water column chlorophyll data represent long-term averages of surface water column chlorophyll concentration. They are derived from the data from the GBRMPA and AIMS Long-term chlorophyll monitoring program, and the AIMS Lagoon water quality chlorophyll data, collected since 1992.

As part of the Reef Atlas project (now the eAtlas) the water quality data was interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasipoisson fit. This produced the gridded version of the dataset that is available as KMZs and ASCII grid raster files. For access to the original data please contact AIMS.

The spatial coordinate system for the ASCII Grid data files is WGS84 (EPSG:4326), in which the grid cells are equally spaced in latitude and longitude.

Data Units:



Chlorophyll: micrograms / liter;

Suspended solids (SS): mg / liter;

All nutrients: micromol / liter.


References:





Furnas MJ, Mitchell AW, Skuza MS and Brodie JE (2005) The other 90 percent: phytoplankton responses to enhanced nutrient availability in the Great Barrier Reef lagoon. Marine Pollution Bulletin 51: 253-265




Furnas MJ (2003) Catchments and Corals: Terrestrial Runoff to the Great Barrier Reef. Australian Institute of Marine Science, CRC Reef. Townsville, Australia.




De'ath G (2007) The Spatial, Temporal and Structural Composition of Water Quality of the Great Barrier Reef, and Indicators of Water Quality and Mapping Risk. Report to the Australian Government's Marine and Tropical Sciences Research Facility. 59 pp.




De'ath G, Fabricius KE (2008) Water quality of the Great Barrier Reef: distributions, effects on reef biota and trigger values for the protection of ecosystem health. Final Report to the Great Barrier Reef Marine Park Authority. Australian Institute of Marine Science, Townsville: 104 pp




Brodie, J, De'ath, G., Devlin, M., Furnas, M, and Wright M. (2007) Spatial and temporal patterns of near-surface chlorophyll a in the Great Barrier Reef lagoon. Marine and Freshwater Research 58:342-353



Tags: marine
Organization: Australian Ocean Data Network
RV Investigator Voyage IN2026_V03 Hydrology Data

This record describes Hydrology (HYD) data collected from the Marine National Facility (MNF) RV Investigator voyage IN2026_V03, titled: "SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania." The voyage took place between May 14, 2026 and May 22, 2026 (AEST), departing from Hobart and returning to Hobart.

For this voyage, CTD samples were collected and analysed for nutrients, dissolved oxygen, and salinity by the on-board Hydrochemistry team. Please refer to Hydrochemistry output section for more detail on sample types and analyses. Carbon and alkalinity samples were also collected at selected station by chief scientist, Dr. Elizabeth Shadwick to continue the time series established during previous voyage series, with these samples to be analysed on shore by the carbon team once the voyage concludes. Additionally, Thermosalinograph (TSG) samples were continuously collected throughout the voyage, with on-board measurements of their salinity used to calibrate the ship's underway system.

This dataset has been processed (quality-controlled), and archived at the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart. Additional information regarding this dataset is contained in the Voyage Report and Data Processing Report.

Organization: Australian Ocean Data Network
Video surveys of long spined sea urchin (Centrostephanus rodgersii) barrens habitat, eastern Tasmania

The spatial extent of C. rodgersii "barrens" was estimated by surveying rocky reef habitat with a towed underwater video system. Sampling took place at 13 regions along the east coast of Tasmania, each comprising 3 subsites. 

Substrate and habitat type were recorded using video analysis, with 4 categories of urchin barren habitat recognised (see below for definitions).

Tags: 25 211001, Algal species coverage, Centrostephanus rodgersii, Habitat type, Substratum type, Temperate Reef, Urchin barren zone
Organization: Australian Ocean Data Network
Kelp habitat density and composition from underwater video

Annotations of canopy forming seaweed 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 seaweeds and urchin barrens and to provide validation for the identification of urchin barrens from multibeam surveys.

Tags: Centrostephanus rogersii, Ecklonia radiata, Haliotis rubra, Phyllospora comosa, multi-beam validation, video survey
Organization: Australian Ocean Data Network
Torres Strait clear sky, clear water Landsat 5 satellite composite (NERP TE 13.1 eAtlas, AIMS, source: NASA)

This dataset is a composite of Landsat 5 satellite imagery to produce a cloud free, clear water seamless image of the Torres Strait region. This image includes some of Cape York and PNG, in particular the Fly river. This composite shows clear imagery for marine areas, in particular reefs, larger islands and sand bars.

This image has a resolution of approximately 30 m and a positional accuracy of better than 50 m.

There is a new similar dataset based on higher resolution Sentinel 2 imagery: Lawrey, E. (2022). Torres Strait Sentinel 2 Satellite Regional Maps and Imagery 2015 – 2021 (AIMS) [Data set]. eAtlas. https://doi.org/10.26274/3CGE-NV85

This composite is made from 8 Landsat scenes. Images in each scene were selected by trawling through the entire archive of Landsat 5 to find the clearest two to three clearest images. The preference for these images was that they needed to be as cloud free as possible, be at low tide and for the water to be as clear as possible. The final images used range from 1993 - 2009.

The selected images were converted to true colour, corrected for sun glint, high level thin clouds and haze. The two or three images for a scene were then blended together in Photoshop using feathered masks to remove clouded areas. The images were then colour and tonally corrected to match neighbouring scenes. The scenes were then blended by copying cropped feathered versions of the neighbouring scenes. The resulting images for each scene were then masked to create a clean "no data" boundary around the image so that mosaicking would not introduce any visual artefacts.

The scene images were then mosaicked together into a single image using gdalwarp. The final image was then reprojected using gdalwarp and finally trimmed and compressed using gdal_translate.

Tags: marine
Organization: Australian Ocean Data Network
Deprecated - Traditional Use of Marine Resources Agreement, July 2009 (GBRMPA)

This record details the TUMRAs that were in effect in 2009. Since then the number of TUMRAs has significantly increases. For the latest agreements refer to GBRMPA. A more recent version of this dataset is available on the eAtlas: https://eatlas.org.au/data/uuid/e180cca5-d652-4292-8272-69ac94977e6b

Traditional use activities in the Great Barrier Reef Marine Park are managed under the Great Barrier Reef Marine Park Act 1975, and the Great Barrier Reef Marine Park Regulations 1983. The Great Barrier Reef Marine Park Zoning Plan 2003 recognises that under section 211 of the Native Title Act 1993, native title holders may undertake traditional use of marine resources in the Great Barrier Reef Marine Park.

Traditional Use of Marine Resources Agreements (TUMRAs) are formal agreements developed by Traditional Owner groups and accredited by the Great Barrier Reef Marine Park Authority (GBRMPA) and the Environmental Protection Agency (EPA). TUMRAs describe how Traditional Owner groups work with government to manage traditional use activities in sea country. A TUMRA may describe, for example, how Traditional Owner groups wish to limit their take of turtle and dugong, their role in compliance and their role in monitoring the condition of plants and animals, and human activities in the Great Barrier Reef Marine Park.

For more information see the Sustainable traditional use of marine resources:
http://www.gbrmpa.gov.au/corp_site/key_issues/conservation/indigenous_partnerships/sustainable_traditional_use_of_marine_resources

NOTE: The data associated with this record is out of date and should only be referred to for historic purposes.

Tags: marine
Organization: Australian Ocean Data Network
Oil and Gas Pipelines of Australia 2004 (GA)

This data set contains information on Oil and Gas pipeline infrastructure. This dataset has been converted from Microstation format used in a map "Petroleum Exploration and Development Titles" published annually in APRIL. Attributes have been added to comply with data standards and minor coding of line work has been achieved using annotation from the map. Further data has been added, specifically for the specific Acreage Release Areas.

This metadata was prepared for the North West Atlas and is not authoritative. Please contact the custodian for the latest authoritative version of this record.

Tags: National dataset, Petroleum Data, Petroleum and Coal Geology, Wells, dataset, hydrocarbons, marine, natural gas
Organization: Australian Ocean Data Network
NERP TE Project 5.2 - Experimental and field investigations of combined water quality and climate effects on corals and other reef organisms, 2011-2014 (AIMS)

The objective of this project is to assess how management of local stressors such as land runoff can help improve the resilience of coral reefs to global stressors (climate change) which are more difficult to manage. Complementary laboratory and field experiments will investigate the combined impacts of declining water quality (increased nutrients and sediments, and reduced light and salinity), increased sea temperature and ocean acidification on key reef species groups such as corals, foraminifera, crown-of-thorns starfish and rock-boring sea urchins.





To experimentally quantify changes in the thresholds for global change stressors (temperature increase, ocean acidification) due to elevated local stressors,(increased nutrients, increased turbidity, decreased salinity) on key coral reef organisms. 




Investigating individual and synergistic effects of water quality and global change on reproduction, larval development and settlement of key coral reef invertebrates (e.g. corals, echinoderms). 




Predicting the future performance of reef organisms, by experimentally testing hypotheses about differences in the vulnerability of coral species to ocean acidification, as derived from our studies of natural CO2 seeps. 




Using inshore reefs as a model system to investigate the performance of calcifying organisms at low or variable carbonate saturation state.



Tags: National Environmental Research Program Tropical Ecosystems Hub, marine
Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - SNPP - 01 day - Chlorophyll-a concentration (OC3 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 OC3 method recommended by the NASA Ocean Biology Processing Group and implemented in the SeaDAS processing software l2gen. The OC3 algorithm is described at http://oceancolor.gsfc.nasa.gov/cms/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