AndreaBozzo/ceres-open-data-index huggingface dataset:
RV Investigator Voyage IN2026_V01 EM2040 MKII Multibeam Echosounder Data

This record describes multibeam echosounder data collected on IN2026_V01, titled "Cook Ice Ecosystems and Sediments (COOKIES)." The voyage took place between January 02, 2026 and February 25, 2026 (AEST), departing from Hobart and returning to Hobart.

The EM2040MK2 provides a 0.4 degree by 0.7 degree angular resolution. The echosounder's nominal frequency is 400 kHz (with a range of 200-700 kHz) and it operated in dual swath mode. 

Data are stored in <em>.kmall raw format for bathymetry and backscatter and </em>.kmwcd format for watercolumn backscatter at CSIRO. There are 24 files totalling 11.7 GB of raw data and 24 files totalling 58.1 GB of watercolumn data in this dataset. 

Sound velocity profiles were applied to this data during data acquisition. Bathymetry data contained in *.kmall format are corrected for motion and position. 

GPS tide was computed using the EGM2008 model and applied to the processed data. Processed data has had outliers removed. 

Additional information regarding this dataset, including further information on processing streams, is contained in the GSM data acquisition and processing report.

Organization: Australian Ocean Data Network
Marine National Facility (MNF) Processed Underway Parquet Data

This record describes the processed Underway (UWY) data collected from the Marine National Facility (MNF) voyages, in Parquet format.

<code>Standard Underway data is continuously recorded, consisting of:

  (1) Navigation data (NAV): Latitude, Longitude, Speed, Heading, Course Over Ground, Gyros, and Doppler Log (dual GPS instrument).

  (2) Thermosalinograph (TSG): Water Salinity, Flow-Rate, Temperature, Fluorescence, pCO2 and Optode/Oxygen.

  (3) Atmospheric (MET): Humidity, Wind Speed and Direction (vane and ultrasonic), Radiometer/Sea Surface Temperature, Pyranometer/Solar Radiation, Photosynthetically Active Radiation (PAR), Air Temperature, Air Pressure, Rain, Ozone and Trace Gases (port and starboard instruments).

The quality-controlled underway meteorological and SST data are supplied to the IMOS AODN and other global data repositories and distributors, and made available for satellite SST validation by the Australian Bureau of Meteorology (BoM).

Near real-time, unprocessed data are available via the link "Visualisation tool for Underway Data" (RV Investigator and RV Linnaeus only).

These data have been processed (quality-controlled), and archived by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC). Data are available at time intervals of 5 seconds. Note: not all variables are quality controlled; please check for existing QC flags in the datasets. Additional information regarding this dataset is contained in the Voyage Summary and/or the Data Processing Reports for the corresponding voyages.
</code>

Organization: Australian Ocean Data Network
Microdebris contamination in Australian coastal and marine waters

The data provides information relevant to determining time series estimates of anthropogenic marine debris contamination across the IMOS National Mooring Network (NMN) including National Reference Stations (NRS), with a focus on microplastics (plastics &lt; 5 mm). Specifically, it summarises the physical (i.e., size, shape and colour) properties and chemical nature (i.e., synthetic, semi-synthetic or naturally derived, and polymer type) along with the associated sampling coordinates and field collection data. This dataset, together with other variables already measured across the NMN (e.g., surface salinity, current, plankton, fish larvae), has the potential to provide insight into abundance, spatial distribution and fluctuations in anthropogenic marine debris, as well as identify potential source materials, geographic (i.e., land-based) inputs and fate. Information on such contamination is critical to inform policy and management on marine pollution in Australia&rsquo;s marine estate and to assess the effectiveness of policy responses.

Tags: Marine Microplastics Sub-Facility, Integrated Marine Observing System (IMOS)
Organization: Australian Ocean Data Network
BRUVS (TM) - Fish and Benthic survey of South Scott Reef Lagoon 1999-11-28 to 1999-12-08

The dataset comprises 5277 individuals from 210 species of fishes, sharks, rays and sea snakes observed at around South Scott Reef Lagoon using 103 baited remote underwater video stations (BRUVS(TM)). 

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
Apparent conflicting Roadian–Wordian (middle Permian) CA-IDTIMS and palynology ages from the Canning Basin, Western Australia

U–Pb dating of zircons from thin middle Permian tuffs in the Canning Basin of Western Australia by chemical abrasion-isotope dilution thermal ionisation mass spectrometry reveals a conflict with the established spore-pollen zonation. Normally, the first appearance datum of Dulhuntyispora granulata across the continent lies stratigraphically above assemblages assigned to the Microbaculispora villosa Zone. However, the youngest tuffs within non-marine facies from the M. villosa Zone in Pittston SD-1, drilled in the southwest of the Canning Basin, yielded an age of 267.04 ± 0.14 Ma, which is 1.7 million years younger than tuffs associated with the D. granulata Zone in marginal-marine facies from core holes 350–400 km to the northeast. The apparent conflict in ages is possibly due to the non-marine depositional environment having wielded a strong local influence on the palynoflora along the edge of this basin. Although the present information indicates an age 2.5 million years younger than the 266.6 Ma age previously suggested for the top of the M. villosa Zone, revisions to the ages of Roadian–Wordian spore-pollen zones are not considered justifiable without further supporting evidence. Furthermore, considerable care is needed when comparing palynological assemblages from significantly differing facies. Two basaltic sills (43.5 m and 20 m thick) immediately below the tuffaceous beds in Pittston SD-1 are coincidental, as Ar–Ar dating indicates a Late Triassic age for the intrusions.

<b>Citation:</b> Mory, A. J., Crowley, J. L., Backhouse, J., Nicoll, R. S., Bryan, S. E., López Martínez, M., &amp; Mantle, D. J. (2017). Apparent conflicting Roadian–Wordian (middle Permian) CA-IDTIMS and palynology ages from the Canning Basin, Western Australia. <i>Australian Journal of Earth Sciences</i>, 64(7), 889–901.
https://doi.org/10.1080/08120099.2017.1365586

Tags: Biostratigraphy, Canning Basin, EARTH SCIENCES, Permian, U-Pb zircon, argon-argon dating - Ar-Ar, chemical abrasion-isotope dilution thermal ionisation mass spectrometry - CA-IDTIMS, laser ablation inductively coupled plasma mass spectrometry - LA-ICPMS, palynostratigraphy
Organization: Australian Ocean Data Network
BRUVS (TM) - Fish and Benthic survey of South Scott Reef Lagoon: Maxima Survey 2008-01-03 to 2008-01-29

The dataset comprises 7777 individuals from 184 species of fishes, sharks, rays and sea snakes observed at around South Scott Reef Lagoon: Maxima Survey using 126 baited remote underwater video stations (BRUVS(TM)). 503 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
BRUVS (TM) - Fish and Benthic survey of Inshore Shoals : Halifax Bay 2007-03-29 to 2007-03-31

The dataset comprises 1954 individuals from 90 species of fishes, sharks, rays and sea snakes observed at around Inshore Shoals : Halifax Bay using 25 baited remote underwater video stations (BRUVS(TM)). 293 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
BRUVS (TM) - Fish and Benthic survey of Shoals: Townsville 2007-11-12 to 2007-11-19

The dataset comprises 2139 individuals from 68 species of fishes, sharks, rays and sea snakes observed at around Shoals: Townsville using 10 baited remote underwater video stations (BRUVS(TM)). 172 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
The palaeogeography of the Bass Strait land-bridge, a vital zone of human and biological connectivity across southeastern Australia

Land-bridges are key regions of human connectivity, yet how geography affected peoples' movement during flooding is poorly understood. Bass Strait is one of the most important land-bridges in Australasia, separating Lutruwita/Tasmania from the mainland of Australia. The land-bridge forms a key part of Country among the region's First Peoples, with people able to move across the clan estates and residential places of the exposed Bass Strait by foot until its flooding after the Last Ice Age. In this study, we utilise high-resolution bathymetry to understand landscape change during sea-level rise. We find that rates of shoreline transgression can exceed 30&nbsp;m/yr, signalling that 15 km of land would have been drowned in a persons lifetime. This rapid rate of change is within a person's life-span and would have profoundly affected individuals as they resided in and travelled across Country. We also find that people first crossed the land-bridge very soon after its exposure during climate cooling events. The analysis provides a benchmark for understanding land-bridge flooding and in turn its impact on human migrations.

<b>Citation:</b> David M. Kennedy, Ali Jalali, Bruno David, Matthew C. McDowell, Rachel A. Nanson, Ashleigh J. Rogers, Russell Mullett, Joanna Fresløv, Jessie Birkett-Rees, Juliet Sefton, Daniel Ierodiaconou, The palaeogeography of the Bass Strait land-bridge, a vital zone of human and biological connectivity across southeastern Australia, <i>Quaternary Science Reviews</i>, Volume 369, 2025, 109606, ISSN 0277-3791,
https://doi.org/10.1016/j.quascirev.2025.109606.

Tags: Australia-wide geoscience data, First Nations, Geomorphology and earth surface processes, Offshore Mapping, Physiography, Published_External, Resourcing Australia's Prosperity, Sea Level, marine geomorphology
Organization: Australian Ocean Data Network
Marine Bathymetry Data Collection

Bathymetry is the study and mapping of the sea floor. It involves obtaining measurements of the depth of the ocean and is the equivalent to mapping topography on land. Bathymetric data is collected in multiple ways:
<ol>
<li>Satellite data can be used to produce maps showing general features over a large area at low resolution. Satellite altimetry measures the height of the ocean surface. If there are hills/mountains on the sea floor, the gravitational pull around that area will be greater and hence the sea surface will bulge. This measurement can be used to show where the seafloor is higher, and this can be used to produce maps showing general features over a large area at low resolution. </li>
<li>Single beam echosounders produce a single line of depth points directly under the equipment. These measurements are usually made while a vessel is moving to identify general sea floor patterns and/or schools of fish.</li>
<li>Equipment that captures swathes of data by acquiring multiple depth points in each area, such as multibeam echosounders (or swath echosounders) and airborne laser measurements (LADS). These datasets are very high resolution, with data down to better than one metre accuracy.</li>
</ol>

This bathymetry dataset is a collection of singlebeam data sourced from seismic navigation lines, multibeam data, satellite and LADS data acquired by GA and by other government and non-government agencies.

Tags: Published_External, bathymetry, bathymetry grid, coastal, continental shelf, environmental science, geoscience, marine, marine data, marine geoscience, marine survey, multibeam, seabed mapping, sonar
Organization: Australian Ocean Data Network
Identifying multiple sources of petroleum fluids in Browse Basin accumulations using semi-volatile compounds

Hydrocarbon fluid correlation studies often rely on compounds that are source-specific, but only represent a minor fraction of the bulk fluid (e.g. steranes). The correlation in the present study utilises compounds that represent a significant proportion of the bulk fluid (semi-volatile aromatics (SVA)) and diamondoids. Comprehensive two dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC × GC-TOFMS) was used to analyse diamondoids and SVA in whole oil/condensate samples from the Browse Basin, North West Shelf, Australia. Together with aromatic maturity ratios and the stable carbon isotopic composition for selected diamondoids and alkylbenzenes, these analyses demonstrate that numerous accumulations within the Browse Basin contain hydrocarbons from mixed sources. The diamondoid and SVA data provides further information on the current hydrocarbon fluid discrimination, which is primarily based on saturated biomarker compositions. Results of this study reveal a complex fill history by identifying the presence of a high maturity fluid(s) in the biodegraded accumulations on the Yampi Shelf, i.e. in the greater Cornea field and at Gwydion-1. This high maturity fluid is most likely derived from the Lower–Middle Jurassic Plover Formation (J10–J20 supersequences) in the greater Cornea area and, in the case of Gwydion-1, additional hydrocarbons may also be derived from the Upper Jurassic Vulcan Formation (J30–K10 supersequences). Other accumulations that comprise mixtures include Mimia-1 and Concerto-1 ST1 Deep, located to the north of the Ichthys field, and could represent charge from several Jurassic source rocks. The most mature fluids analysed in this basin are family II Plover-sourced and reservoired condensates from Kronos-1, Dinichthys North-1 and Gorgonichthys-1, as demonstrated by their elevated concentrations of the methyladamantanes and methyldiamantanes. The Dinichthys North-1 and Gorgonichthys-1 condensates also show a significant enrichment in the δ13C compound-specific values of the di-, tri- and tetra-methylbenzenes, whereas the Kronos-1 condensate does not, suggesting derivation from different source kitchens.

<b>Citation:</b> Gemma Spaak, Dianne S. Edwards, Emmanuelle Grosjean, Alan G. Scarlett, Nadege Rollet, Kliti Grice,
Identifying multiple sources of petroleum fluids in Browse Basin accumulations using diamondoids and semi-volatile aromatic compounds, <i>Marine and Petroleum Geology</i>, Volume 113, 2020, 104091, ISSN 0264-8172,
https://doi.org/10.1016/j.marpetgeo.2019.104091.

Tags: Biomerkers, Browse Basin, EARTH SCIENCES, Published_External
Organization: Australian Ocean Data Network
Spatially-balanced designs that incorporate legacy sites

<ol>
<li>

A robust scientific conclusion is the result of a rigorous scientific process. In observational ecology, this process involves making inferences about a population from 20 a sample. The sample is crucial, and is the result of implementing a survey design. A good survey design ensures that the data from the survey is capable of answering the research question. An even better design, such as spatially balanced designs, will also aim to reduce uncertainty as far as budgets will allow.
</li>
<li>

In many study areas, there are `legacy sites', that already have a time-series observed, and return visits to these sites are beneficial to enhance examination of temporal variability. We propose a method to incorporate these legacy sites into the survey effort whilst also maintaining spatial balance. This is the first formal method to perform this task.
</li>
<li>

Simulation experiments indicate that incorporating the spatial location of legacy sites increases spatial balance and decreases uncertainty in inferences (smaller standard errors in mean estimates). We illustrate the process using a proposed survey of a large marine reserve in South-Eastern Australia, where quantification of the reserve's biodiversity is required.
</li>
<li>

Our approach allows for integration of legacy sites into a new spatially-balanced 35 design, increasing efficiency. Scientists, managers and funders alike will benefit from this methodology { it provides a tool to provide efficient survey designs around established ones. In this way, it can aid integrated monitoring programs. An R-package that implements these methods, called MBHdesign, is available from CRAN.
</li>
</ol>

<b>Citation:</b> Foster, S.D., Hosack, G.R., Lawrence, E., Przeslawski, R., Hedge, P., Caley, M.J., Barrett, N.S., Williams, A., Li, J., Lynch, T., Dambacher, J.M., Sweatman, H.P.A. and Hayes, K.R. (2017), Spatially balanced designs that incorporate legacy sites. <i>Methods Ecol Evol</i>, 8: 1433-1442. https://doi.org/10.1111/2041-210X.12782

Tags: EARTH SCIENCES, Published_External, balanced acceptance sampling, environmental sampling, quasi-random, spatial balance, survey design, unequal probability sample
Organization: Australian Ocean Data Network
BRUVS (TM) - Fish and Benthic survey of Inshore Shoals : Townsville and Cardwell 2006-09-08 to 2006-09-13

The dataset comprises 3007 individuals from 140 species of fishes, sharks, rays and sea snakes observed at around Inshore Shoals : Townsville and Cardwell using 39 baited remote underwater video stations (BRUVS(TM)). 630 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
The late Paleoproterozoic Buddycurrawa Volcanics, South Nicholson region

The Buddycurrawa Volcanics (BV, Benmara Group) are a sequence of trachyte lavas and interleaved shallow-marine siliciclastic rocks, exposed in the Benmara region, northwestern Mount Drummond 1:250 000 map sheet, Northern Territory. Previous information, including resource potential, on the BV was limited, and stratigraphic correlation with other regional volcanic units was speculative. Our new geochronology data establish the extrusion age of the BV as late Paleoproterozoic, constrained by a maximum age of ca. 1662 Ma (SHRIMP U-Pb zircon) and a minimum age of ca 1631 Ma (in situ laser Rb-Sr on glauconite within vesicles). The BV are, therefore, temporally equivalent to numerous ash fall tuffs reported throughout regional highly prospective late Paleoproterozoic successions. The BV also host vertical siliceous pipes, representing ‘white smokers’—peripheral low-temperature equivalents of black smokers—suggestive of a regional shallow-marine hydrothermal circulatory system and potential for associated base metal mineral systems. The BV are pervasively potassically altered. Laser Rb-Sr dating on matrix secondary microcline returns ages ca. 1612–1323 Ma, reflecting timing of fluid flow responsible for at least some of the potassic alteration. These are broadly consistent with similar estimates of episodes of regional fluid flow and base metal mineralisation and/or remobilisation in the Mount Isa Province.

<b>Citation:</b> Carson, C.J., Kositcin, N., Farkas, J., Champion, D.C., Whelan, J., Redaa, A., Gilbert. S., Henson, P.A., Maas, R., Williams, B. and Doublier, M.P., 2020. The late Paleoproterozoic Buddycurrawa Volcanics, South Nicholson region. In: Czarnota, K., Roach, I., Abbott, S., Haynes, M., Kositcin, N., Ray, A. and Slatter, E. (eds.) Exploring for the Future: Extended Abstracts, Geoscience Australia, Canberra, 1–4.

Tags: Basins, Benmara Group, EARTH SCIENCES, EFTF, Exploring For The Future, GEOLOGY, Geochronology, Potassic Alteration, Published_External, South Nicholson Basin, Volcanics
Organization: Australian Ocean Data Network