AndreaBozzo/ceres-open-data-index huggingface dataset:
CO2-EOR+ in Australia: achieving low-emissions oil and unlocking residual oil resources

The petroleum industry, through the production and consumption of oil and gas, contributes to global greenhouse gas emissions. However, the industry’s leadership and experience in underground injection and storage of CO2, especially through CO2 enhanced oil recovery (CO2-EOR), which has been proposed as a possible solution to reducing atmospheric CO2 levels, has not been well acknowledged. Unlike traditional CO2-EOR, which tends to be a net carbon emitter due to the use of predominantly natural CO2, rather than anthropogenic, CO2-EOR+ focuses on storing a larger volume of CO2. Thus CO2-EOR+ not only provides a potential solution to dispose of anthropogenic emissions but at the same time reduces reliance on imported oil through increased domestic production. Increased industry interest and energy policy strategies directed at reducing and/or removing emissions from industry processes reflect the growing social and economic impetus to improve operation practices and the petroleum industry’s reputation. Residual oil zones (ROZs) below identified oil–water contacts provide an excellent target for the application of CO2-EOR+. They offer a producible residual oil resource accessible through CO2-EOR, as well as a large pore volume for CO2 storage, with efforts focused on converting ROZs into resources and reserves. Existing fields in the Surat and Cooper-Eromanga Basins are already well placed to utilise anthropogenic CO2 sources to achieve conventional CO2-EOR metrics. The ROZs in these basins will hopefully allow potential EOR projects to increase the CO2 volumes stored, per incremental barrel of oil, well past traditional levels (0.2–0.3 tCO2/bbl), and in doing so, potentially achieve net negative-emission oil.
Citation:Tenthorey Eric, Taggart Ian, Kalinowski Aleksandra, McKenna Jason (2021) CO2-EOR+ in Australia: achieving low-emissions oil and unlocking residual oil resources. The APPEA Journal 61, 118-131.  https://doi.org/10.1071/AJ20076

Tags: CO2, CO2-EOR+, Cooper Basin, EARTH SCIENCES, Eromanga Basin,, Published_External, Surat Basin, enhanced oil recovery, net negative emissions, residual oil zone
Organization: Geoscience Australia Data
Sponge species distribution and biomass surveys of Caribbean Reefs

Sponge species distribution and biomass was investigated in Caribbean and western Atlantic reefs in 7 countries (Belize, Jamaica, USA (Florida), Bahamas, Puerto Rico, US Virgin Islands and Barbados).The reefs of Belize were intensively surveyed. Surveys were conducted at 5, 10, 15 and 20 m on the seaward facing slopes of Wee Wee Cay, South Water Cay and Glovers Reef. Triplicate 20 m x 2 m transects were surveyed along the depth profile at each depth. All sponges, except boring, thin encrusting and cryptic species were collected, identified to species where possible and weighed. Surveys at Wee Wee Cay at 10 and 15 m were limited to 8 m² because of the large number and volume of sponges. Any additional species that occurred in the remaining 32 m² were recorded. Very large specimens of Xestospongia muta were not collected, but the weights were estimated by calculating the volume from linear measurements and using a weight/volume correction factor calculated from smaller specimens or parts of larger animals which were weighed. Such estimates were made conservatively, erring on the side of underestimation.Similar surveys were carried out in Jamaica (Discovery Bay), USA (Key Largo - French Reef), Bahamas (Exuma Cays - Lee Stocking Island), Puerto Rico (Cayo Enrique, Media Luna), US Virgin Islands (Saint Croix - Buck Island, Tague Bay, Salt River Canyon) and Barbados (West). Triplicate transects were surveyed at depths of 10 m and 20 m at most locations. Transects were variable in size, ranging from 3 m x 2 m to 30 m x 2 m.
 This research was undertaken to survey sponge species distribution and biomass on Carribean Reefs for comparison with similar data from the central Great Barrier Reef.
 During these surveys, benthic cover was also surveyed at most locations, using the Line Intercept Transect method.

Organization: Australian Ocean Data Network
NESP MBH A12: Australia’s Northern Seascape project

Data associated with outputs from the final report of the NESP MBH A12 report &quot;Distribution and habitat suitability of Threatened and Migratory Marine Species in Northern Australia&quot;. 
The North Marine Bioregion is home to a diversity of threatened and data-poor marine species. In the absence of critical data on species&rsquo; distributions, population connectivity, and essential habitat, decision-making to progress the current &lsquo;Developing the North&rsquo; agenda has the potential to negatively impact Matters of National Environmental Significance. Data compiled across multiple sources were used to model and map the distribution of 16 priority Threatened and Migratory marine species. The objective of the project was to improve the current data-poor species distribution maps held by DAWE to assist with policy decisions for these species. We used a spatial distribution modelling approach based on presence data for these species from 121 spatial datasets and associated, remotely sensed environmental variables. The output is a series of distribution maps to enhance decision-makers&rsquo; ability to assess potential impacts of development proposals in Northern Australia under the EPBC Act.

Organization: Australian Ocean Data Network
Nutrient data from rivers discharging into the Great Barrier Reef lagoon

Nutrient data was obtained from the lower reaches and estuaries of 23 rivers discharging into the Great Barrier Reef lagoon. Wet season time series were measured in five rivers (South Johnstone River, Tully River, Herbert River, Burdekin River and Fitzroy River). Seven rivers have catchments in the wet tropical region (Barron River, Mulgrave River, Russell River, North Johnstone River, South Johnstone River, Tully River and Murray River). The Normanby River and Herbert River have mixed wet/dry catchments. Two major dry catchment rivers, the Burdekin River and the Fitzroy River were sampled.Sporadic samples, usually from the estuary, were collected in the course of other projects. These include Jacky Jacky Creek, Escape River, Pascoe River, Claudie River, Lockhardt River, McIvor River, Daintree River, Ross River, Alligator Creek, Haughton River, Barratta Creek and Pioneer River.In most cases, near-surface water samples were collected from mid-channel, above the level of saltwater intrusion, using a clean plastic bucket or jar lowered by rope. Prior to December 1991, only single water samples were collected at any one time; thereafter, collection of duplicate water samples was progressively introduced into all sampling programs.
 Sampling was undertaken to:1. quantify terrestrial input fluxes of nutrient elements (N, P, Si) which influence plankton productivity, reef productivity and water quality in the central GBR region2. resolve regional, seasonal and event-associated exports of nutrients from north Queensland rivers with both wet and dry catchments3. resolve the dynamics of river nutrient fluxes during flood events, especially large events associated with cyclones and monsoonal rain depression4. collect data suitable for parameterizing numerical flow discharge models for major north Queensland river systems
 Sampling was conducted through cooperative arrangements between AIMS and other government agencies. These include the Great Barrier Reef Marine Park Authority (GBRMPA), Queensland Department of Primary Industries (QDPI), Bureau of Sugar Experiment Stations (BSES), Queensland Water Resources Commission (QWRC), Cairns City Council (CCC), CSIRO and Central Queensland University (CQU). A number of volunteers also contributed to the sampling effort.

Organization: Australian Ocean Data Network
Multiscale bathymetric digital elevation models and derived topographic variables extending across the Great Barrier Reef

Multiscale bathymetric digital elevation models (DEMs) and derived topographic variables used to characterise the seascape environment spanning the Great Barrier Reef Marine Park Authority (GBRMPA) region. This data was collected to investigate the accuracy of open-source bathymetric DEMs and to assess the ecological relevance of multiscale bathymetric topographic variables for regional species distribution modelling (SDM) of coral species. The base DEMs were downloaded from two publicly available online sources: the Allen Coral Atlas (ACA; Allen Coral Atlas, 2022; www.allencoralatlas.org) at approximately 10m resolution and the DeepReef Explorer (www.deepreef.org) at approximately 30m (Beaman, 2017) and 100m (Beaman, 2010) resolutions. After processing, the base DEMs were generalised using a Gaussian pyramid algorithm: ACA from 15m to 30m, 60m, 120m, DeepReef from 30m to 60m and 120m, as well as DeepReef at 100m. From each DEM, eight topographic variables were derived: slope (SLO), eastness (EAST), northness (NORTH), vertical curvature (VCU), horizontal curvature (HCU), vector ruggedness measure (VRM), sky view factor (SVF), bathymetric position index (BPI).  Variables are available as SAGA sdat files upon request. Variable values at all spatial resolutions from each bathymetry source are available as csv files: i) 15000 random points used to assess correlation and scatterplots, ii) 10000 random points used in MaxEnt SDM analyses, where points avoided areas that also contained presence data.
Data was downloaded and processed by Annie Guillaume (EPFL, CH), under supervision of St&eacute;phane Joost (EPFL, CH), Renata Ferrari (AIMS) and Line Bay (AIMS).
Script to reproduce the production of variables, along with the corresponding topographic variable values used in this study are provided in the indicated dryad repository. The DEM variables from which the variables are derived are also available via the dryad repository
Parameters associated with this collection: Depth (DEM), slope (SLO), eastness (EAST), northness (NORTH), vertical curvature (VCU), horizontal curvature (HCU), vector ruggedness measure (VRM), sky view factor (SVF), bathymetric position index (BPI)

Organization: Australian Ocean Data Network
IMOS - National Mooring Network - National Reference Stations - Maria and North Stradbroke Islands - Near real-time wave height

This collection contains measurements of significant wave height transmitted in near real-time (no QC) from the National Reference Stations at Maria Island off the east coast of Tasmania (NRSMAI), and North Stradbroke Island in south-east Queensland (NRSNSI). In 2015 data was also provided from a mooring in the Palm Passage (2015-05-15 to 2016-11-27).
The National Reference Station network is designed to provide baseline information, at timescales relevant to human response, that is required to understand how large-scale, long-term change and variability in the global ocean are affecting the ecosystems of Australia's coastal seas. The stations are operated by the National Mooring Network (formerly known as the Australian National Mooring Network (ANMN)), a facility of the Integrated Marine Observing System (IMOS).
This collection has been discontinued, as the real-time telemetry has been removed from the platforms.

Tags: Buoys | Moored Buoys, Countries | Australia, Global / Oceans | Pacific Ocean, IMOS Platform | NRSMAI | Maria Island National Reference Station Mooring, IMOS Platform | NRSNSI | North Stradbroke Island National Reference Station Mooring, Marine Features (Australia) | Maria Island, TAS, Marine Features (Australia) | North Stradbroke Island, QLD, Oceans | Ocean Waves | Significant Wave Height, Regional Seas | Coral Sea, Regional Seas | Tasman Sea, States, Territories (Australia) | Queensland, States, Territories (Australia) | Tasmania
Organization: Australian Ocean Data Network
NWSSRP Theme 2 - Project 2a: Characterising the Ancient Coastline Key Ecological Feature (KEF)

Understand physical and biological characteristics of the Ancient Coastline Key Ecological Feature (125m) and the ecological processes that maintain benthic communities from the ancient to contemporary coastlines. The ancient coastline at 125m depth is a Key Ecological Feature (KEF) that may harbour incredible marine life. Effective management of activities in the area requires a better understanding of its habitats and diversity.
To do this researchers are generating detailed habitat maps in the region for the first time. They are mapping the sea floor using Multibeam technology and surveying marine life using a range of techniques. These include towed video systems to observe the animals and benthos that live on the sea floor along the KEF, baited remote underwater video systems (BRUVS) to determine the diversity of demersal fish species that use the area, and sediment sampling using a Smith MacIntyre Grab for grain size analysis,.

Organization: Australian Ocean Data Network
Review of Melville Bay Sediment Monitoring Program

This record represents two separate analyses/reports on the same long-term sediment metal(oid)s monitoring data.  The data were collected by both Rio Tinto and AIMS and both institutions are expected to continue this monitoring program into the future.  The two analyses/reports represent status and trends at two different times:


Report and git repository associated with Logan, M and Streten, C. (2022). A Review of the Melville Bay Sediment Monitoring Program. Report prepared for Rio Tino. Australian Institute of Marine Science, Location.  (165 pp)


Report and git repository associated with Logan, M and Streten, C. (2025). A Review of the Melville Bay Sediment Monitoring Program. Report prepared for Rio Tino. Australian Institute of Marine Science, Location.  (324 pp)



Organization: Australian Ocean Data Network
Towed Video deployments in Timor Sea Banks and Shoals (Montara 2)

Towed Video surveys down to a depth of ~50 m was completed successfully all at the following 9 banks and shoals (Baracuda East and West Shoals, Sheldon Shoal, Wave Governor Bank, Heywood Shoal, Echuca Shoal, Goeree Shoal, Eugene McDermott Shoal, Vulcan Shoal). Sampling involved habitat classification conducted in real-time during the surveys, and taking photographic still image at 10 s intervals for subsequent analysis as the cameras were towed across the shoals at a speed of 1-2 knots. Sampling (as kms of shoal surveyed) was scaled according to the size of the shoals and varied between ~6 km at the smallest shoal (Wave Governor bank) to &gt;40 km at the largest shoal (Heywood Shoals). In total towed video was conducted over ~200 km of the banks and shoals.
 This data was collected as part of the S5 Offshore Banks Assessment Survey component of the Monitoring Plan for the Montara Well Release Timor Sea as agreed between PTTEP Australasia and the Department of the Environment, Water, Heritage and the Arts , 9 October 2009 and was undertaken between 15 March and 17 April 2011.

Organization: Australian Ocean Data Network
Animal Tracking Facility Data Analysis: Stage 1

Repository with data associated with IMOS National Animal Tracking Facility Analysis.
Raw detection data housed in the IMOS National Telemetry dataset and can be accessed from: https://animaltracking.aodn.org.au
Quality controlled dataset is housed in the AODN database: https://portal.aodn.org.au/search?uuid=0ede6b3d-8635-472f-b91c-56a758b4e091

Organization: Australian Ocean Data Network
Great Barrier Reef Marine Monitoring Program for Inshore Water Quality - Salinity and Temperature Time-series Data

This metadata record describes salinity and temperature time-series data collected through in situ monitoring by the Great Barrier Reef Marine Monitoring Program for Inshore Water Quality (MMP WQ). A full description of the MMP WQ and its associated datasets can be found in the parent metadata record linked above.
Continuous in situ salinity and temperature were measured using Sea-Bird Electronics SBE 37-SM conductivity and temperature sensors. The MMP WQ currently has instruments deployed at 9 sites summarised by Natural Resource Management (NRM) region below. The date ranges of instrument deployments are also shown; one site location was changed in 2021 but data are still available for download.
Wet Tropics NRM:
Russell-Mulgrave focus region:  High Island West (2015-present) and Russell-Mulgrave River mooring (2015-present)

Tully focus region:  Dunk Island North (2015-present) and Tully River mooring (2015-present)

Burdekin NRM:  Burdekin River mooring (2015-present)
Mackay Whitsunday NRM:  Pine Island (2015-present), Repulse Island dive mooring (2015-2021), and O&#39;Connell River mooring (2021-present)
Fitzroy NRM (monitored 2005-2014 under MMP WQ, 2020-present under Fitzroy Basin program):  Humpy Island (2021-present) and Fitzroy River mouth (2021-present).
Instruments are deployed for approximately 4 months at a time at 2 m below the water&#39;s surface. They collect one sample every 10 minutes. Calibrations are performed at either the NATA-accredited CSIRO Oceanographic Calibration Facility in Australia, or the Sea-Bird Electronics facility in the USA within 12 months of deployment. After retrieval, the instruments are cleaned and the data are downloaded and converted from raw instrumental hexadecimal records into measurement units using Sea-Bird Electronics proprietary software according to the standard procedures of the manufacturer. Detailed procedures for data handling can be found the MMP WQ&#39;s QA/QC Reports (see link below in Related Information).
Instrument data can be downloaded in hourly or daily averaged formats (see link below in Data Downloads) from 2005-2022. Instrument data from 2023 onwards are now available on the Australian Ocean Data Network (AODN, see link below) in netcdf file format.

Organization: Australian Ocean Data Network
IMOS - National Mooring Network - National Reference Stations - Maria and North Stradbroke Islands - Near real-time water quality

This collection includes biogeochemical sensor data transmitted in near real-time (no QC) from the National Reference Stations at Maria Island off the east coast of Tasmania (NRSMAI), and North Stradbroke Island in south-east Queensland (NRSNSI). In 2015 data was also provided from a mooring in the Palm Passage (2015-05-22 to 2016-05-25). 
Each mooring is equipped with two WETLabs Water Quality Monitors (WQM), measuring temperature, salinity, pressure, dissolved oxygen, chlorophyll concentration, and turbidity. 
These data (together with biogeochemical sensor data from other moorings) are also processed in delayed mode, with automated quality control applied, and made available in a separate collection. The National Reference Station network is designed to provide baseline information, at timescales relevant to human response, that is required to understand how large-scale, long-term change and variability in the global ocean are affecting the ecosystems of Australia's coastal seas. The stations are operated by the National Mooring Network (formerly known as the Australian National Mooring Network (ANMN)), a facility of the Integrated Marine Observing System (IMOS).
This collection has been discontinued, as the real-time telemetry has been removed from the platforms.

Tags: Buoys | Moored Buoys, CTD (Conductivity-Temperature-Depth Profilers), Countries | Australia, Global / Oceans | Pacific Ocean, IMOS Platform | NRSMAI | Maria Island National Reference Station Mooring, IMOS Platform | NRSNSI | North Stradbroke Island National Reference Station Mooring, Marine Features (Australia) | Maria Island, TAS, Marine Features (Australia) | North Stradbroke Island, QLD, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Regional Seas | Coral Sea, Regional Seas | Tasman Sea, States, Territories (Australia) | Queensland, States, Territories (Australia) | Tasmania
Organization: Australian Ocean Data Network
BRUVS surveys collected for the Barossa Environmental Baseline Study 2015, Western Australia (ConocoPhillips)

Stereo Baited Remote Underwater Video Stations (BRUVS) were deployed and retrieved across two shoals of regional interest, Evans and Tassie Shoals, two of the closest shoals to the Barossa field. The allocation of deployment positions across each shoal was conducted using a regular/random design within the bounds of the 60 m depth contour whilst maintaining a minimum distance of 250 m between each SBRUVS unit. Once the positions were derived, the sequence of deployments, in sets of eight replicate units, was determined by proximity and prevailing sea conditions on the day. A total of 72 SBRUVS deployments were conducted at Evans Shoal, and 23 deployments at Tassie Shoal
 The BRUVS surveys were undertaken by the Australian Institute of Marine Science (AIMS) in collaboration with ConocoPhillips as part of the Barossa field environmental baseline and marine studies program. The surveys were undertaken between 13 September and 1 October 2015, on the RV Solander. They covered five principle locations of regional interest, including Evans, Tassie and Blackwood Shoals, the closest shoals to the Barossa field, as well as two mid-shelf seabed locations adjacent to Goodrich Bank and Cape Helvetius, relevant to a potential gas export pipeline route.

Organization: Australian Ocean Data Network
Increasing disturbance frequency undermines coral reef recovery

This data set forms part of the AIMS Long-Term Monitoring Program, which is the longest running coral reef monitoring dataset on the GBR. This research describes the ability of individual reefs across the length and breadth of the GBR to recover from disturbances. It is based on manta tow surveys on a total of 490 reefs from 1985 to 2022. The data was modelled using a Bayesian framework to look at the impacts of disturbances and their level of recovery compared to historical benchmarks.
Parameters for this dataset include: estimates of categorical percentage of total hard coral cover.

Organization: Australian Ocean Data Network
Spatio-temporal dynamics of coral reef fish assemblages on inshore reefs of the Great Barrier Reef

This research monitored inshore island fringing reef communities, including fish and benthos, for over 20 years in the Palm, Magnetic, Whitsunday and Keppel Island groups, to better understand the effects of marine park zoning on these reefs. It is the only large-scale, long-term dataset on the inshore Great Barrier Reef that includes fish assemblages as well as benthic communities. The data were initially collected to inform the Great Barrier Reef Marine Park Authority about the effects of no-take (green) zones on fisheries target species, along with other fish species and benthic assemblages. The monitoring began in 1999 in the Whitsundays, subsequent years in other island groups, and ended in 2019. Elements were added as the surveys progressed, and the entire fish assemblage captured in this analysis was surveyed from 2007 onwards. The surveys were conducted by SCUBA divers using underwater visual survey for fish and point intercept transects for benthos, with five 50m transects at each site. We are analysing this dataset using boosted regression tree models that test the influence of different predictor variables on the fish assemblage.

Organization: Australian Ocean Data Network