This dataset comprises the phytoplankton abundance and biovolume estimates as part of a broader sampling program carried out at the Southern Ocean Time Series, a facility within the Integrated Marine Observing System (IMOS). The primary focus is sustained observing of ocean properties and processes important to climate, carbon cycling, and ocean productivity. Regular phytoplankton samples are collected at approximately 14 day intervals (exact intervals and seasonal coverage dependent on deployment length). The moorings are serviced annually, at which time the existing moorings are recovered and new moorings are deployed. Water samples from within the surface mixed-layer are collected at pre-programmed intervals using a Remote Access Sampler, in pairs about 1 hour apart. One sample in each pair is preserved for phytoplankton community composition by microscopy, and the other sample is preserved and used for accompanying chemical analysis of nutrients, total dissolved inorganic carbon (DIC) and alkalinity. Each sample is collected from within the surface mixed-layer at 32 m depth (2010 - 2017) or 5 m depth (2018-current) depending on the design of the mooring surface assembly and instrumentation. Typically a maximum of 24 samples are collected over an annual deployment cycle. The samples collected are analysed for: 1. Community composition / abundance (cells/L) 2. calculated biovolume (um3/L). Protocols for the phytoplankton time-series are described in Eriksen et al (2018), and the annual sample reports for each deployment. Data storage and access is planned to be interoperable with other national and international programs through the IMOS Infrastructure. Station metadata can be found through this resource. Data is available freely via the AODN portal: https://portal.aodn.org.au. As the taxonomic resolution of the data has changed over time, due to continual training, it is important that users refer to the change log tables included in your data download. These will provide information on the validity of the taxa, from what date we have been identifying certain taxa etc. Classification fields may be blank depending on the level to which that taxa has been identified, i.e. if only identified to family, genus and species will be blank.
In July 1985 the Division of Oceanography embarked on a wave observation program with the deployment of two "Waverider" buoys in the Southern Ocean near Cape Sorell on the west coast of Tasmania. Data were collected from moored Waverider Buoys deployed for various periods in Tasmanian coastal waters off Cape Grim, Cape Sorell (100m), Cape Sorell (50m) and Storm Bay. These observations are used to assess both typical and extreme sea states at these sites and for estimating spatial, seasonal and interannual variations in wave conditions in the Tasmanian region. The program concluded in December 1993 when the Storm Bay buoy ceased operation. There are two distinct datasets: a) Derived statistical data is available on-line for the seven locations mentioned in "Wave Climate Measurements in the Southern Ocean." b) Sample burst data for each of (possibly) nine locations. NOTES: All instruments used, and a copy of the data obtained during this program were sent to the Bureau of Meteorology. The Marine Observation Unit at the Bureau (marine_obs@bom.gov.au) may be able to provide additional information. The data files in this collection are not in a Datacente supported format and no assurances are given as to the accuracy of data, or of the locations implied by the data file names. The CSIRO Waverider program has not been continued.
This record describes the ADCP data collected from moorings off the Strahan shelf (Tasmania) during 1997/98. The moorings were deployed during MNF RV Franklin Voyage FR1997_V03, and recovered during MNF RV Franklin Voyage FR1998_V02. The 200m-depth instrument was deployed around 20/03/1997 23:05Z at 42.5527 oS, 144.897 oE. The 100m-depth instrument was deployed around 21/03/1997 00:25Z at 42.4352 oS, 145.0182 oE. Both moorings were recovered on 15/02/1998.
These data are the result of Geoscience Australia survey 266 to the central Torres Strait region, with the survey being the first of two by Geoscience Australia carried out in 2004. They form part of a larger field-based program managed by the Torres Strait CRC aimed at identifying and quantifying the principal physical and biological processes operating in Torres Strait. The impetus for the program is the threat of widespread seagrass dieback and its effects on local dugong and turtle populations and the implications for indigenous islander communities. The principal aim of the survey was to investigate the seabed geomorphology and sedimentary processes in the vicinity of Turnagain Island and to infer the possible effects (if any) on the distribution, abundance and survival of seagrasses. The Turnagain Island region was chosen because it is a known site of recent widespread seagrass dieback. The survey consisted of a detailed geophysical survey using swath (multi-beam) sonar and shallow seismic equipment that was supplemented with a detailed sampling program consisting of 301 near-bed water samples, 54 seabed grabs, 5 vibrocores and 69 camera stations. Four oceanographic moorings were also deployed for the duration of the survey to measure the local tide, wave and wind-driven currents. A regional survey was initially undertaken, followed by a detailed study of two areas: Area A - located approximately 2.5 km SW of Turnagain Island which contained sand ridges and seagrass beds, and Area B - located approximately 2.0 km SE of Turnagain Island which contained sandwaves and no seagrass beds. In a new application of the swath (multi-beam) data, the total volume of sediment transported during the survey was estimated from changes in the high-resolution seabed bathymetry collected during the repeat surveys. Preliminary results of the study found that seagrasses in the region are subject to frequent and significant changes in environmental conditions, with implications for limited dispersal and survival. A follow-up survey was undertaken in October 2004.
This record describes the End of Voyage archive from the Marine National Facility RV Investigator voyage IN2014_E04: Moorings equipment - testing and procedure development. This is a trial voyage for the RV Investigator departing Hobart on the 26th November and returning to Hobart on the 28th November 2014. The overall voyage objectives were to safely develop optimal procedures for servicing deep ocean moorings from RV Investigator including three IMOS Southern Ocean Time Series Moorings. Data collected included Underway (UWY), Gravity, Atmospheric data (Radon), Multibeam (EM122, EM710). These datasets are test only and not for processing and distribution. The archive for the IN2014_E04 EOV data will be held temporarily within the CSIRO Oceans and Atmosphere Data Centre in Hobart. The EOV data collected and voyage documentation will be available to the O&A voyage participants via internal network. EOV paper documentation will be referenced in TRIM under "IN2014_E04", Record Number: C2014/10303. GSM data (Gravity and ME70) added to archive 13/01/2015. File transfers checked and EndOfVoyageChecklist.pdf in global_docs updated. Last manifest file created in2014_e04_manifest_rawVoyage_gsm_added_1.0.txt 28/07/2015. A permanent archive of the EOV data will be located at the CSIRO Data Access Portal (DAP).
BOA is the result of collecting together the majority of global high-quality buoy and shipboard deepwater hydrographic cast data. It is built on the NOAA/NODC World Ocean Database (BOA06 uses WOD01), WOCE WHP3, Argo, TAO, CSIRO and NIWA archives, and a number of other sources. The component datasets of BOA are stored separately in a range of formats since the nature of these datasets is quite varied. This approach allows easy updating of components (for example, the Argo subset is completely renewed every couple of months.) Where the same data could reside in multiple datasets, those datasets are duplicate cross-checked after any updates (scanning only on the basis of time and location, not the enormous task of searching for duplicated property profiles.). BOA is available in a packaged form of one netCDF file per property (created in July 2006.) Neutral density profiles are also computed and stored in file gamma_BOA06.nc. These files are available via an OpenDAP server and for internal use as local netCDF files.
This record describes the End of Voyage (EOV) data archive from the Marine National Facility (MNF) RV Tangaroa voyage TAN2021_V01, titled "Macquarie Island Voyage." The voyage was carried out on NIWA (National Institute of Water and Atmospheric Research, NZ) vessel Tangaroa, on contract to the CSIRO MNF. The voyage took place between November 9, 2021 and December 4, 2022 (NZST), departing from Wellington and returning to Wellington. For further information please refer to the voyage documentation links. Instruments used and data collected include: EM302 and EM2040 multibeam echosounders, TOPAS PS 18 Parametric Sub-bottom Profiler, Ocean Bottom Seismometers (OBS). The archive for the TAN2021_V01 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to voyage participants and processors of the data collected on the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
The aims of this project are: (1) to identify and simulate key physical factors that have significant impacts on ecological processes on shelf and coastal areas of southwestern Western Australia (WA); and (2) to develop physical, ecological, and risk assessment models that can be used to assess impacts of multiple human use on coastal and shelf environments. The project consists of five main components: analysis of large scale climate forcing, development and application of regional and coastal circulation models, development of integrated biogeochemical/ecological models, development of coastal impact models, and risk assessment. This project will link existing field data, field observations from other SRFME projects, and output from new and existing models, with management objectives and needs defined by Western Australian stakeholders. Specific models to be developed include regional and coastal oceanographic models, biogeochemical / ecological models that links physical and ecological processes, and risk assessment models that link these models to human use of the marine environment. The project intends to build on methods and models already developed and/or used by other CMR projects such as the NWSJEMS and LWRDDC projects. These models will be adapted and extended to allow assessment of impacts of multiple use and natural forcing on nutrient cycling, production and habitat quality on shelf and coastal areas in southwestern WA. These tools will range from process-based simulation models to semi-empirical models, with a focus on making efficient use of existing data, and incorporating new data from large-scale observations such as acoustic and satellite data. The main deliverables of the project include analysis of large scale climate forcing, development and application of regional and coastal scale oceanographic, integrated biogeochemical/ecological, and coastal impact models and risk assessment methods.
The aim of the project is to examine how climate forcing influences nutrient, plankton and nekton dynamics across the continental shelf off Perth, Western Australia, with application to fisheries, management of marine protected areas and coastal processes. Objectives are: - Describe onshore-offshore biophysical ocean structure, its seasonal cycle and interannual variability based on remote sensing data and monitoring of temperature, salinity, nutrients, phytoplankton (chlorophyll and other pigments) and zooplankton based on monthly sampling off Hillarys; micronekton from quarterly cruises. - Measure primary productivity and parameters related to zooplankton grazing and productivity and food web links for key zooplankton species at selected stations/productivity regimes. - Use Hillarys transect temperature and chlorophyll data for validation of satellite derived surface temperatures and ocean colour (linkage with coastal project). - Apply acoustic methods to monitor zooplankton and micronekton and assess fine-scale distributions based on Tracor Acoustic Profiling System (TAPS) (6 frequencies, 300 kHz - 3 megaHz) and underway 38 and 120kHz frequencies; assess zooplankton and micronekton scattering strength and develop multi-frequency discrimination methods; - Explore optimised long term biophysical sampling strategies using remote sensing, acoustics and associated environmental variables for moored and other long-term monitoring linking process understanding with the numerical and empirical modelling. - Measure currents at a mooring site at 80 m depth off Perth and provide the data and oceanic process understanding for the numerical models. - Assess diet and nutritional status of western rock lobster phyllosoma with lipid biomarkers. - Input data and collaborate in development of biophysical NPZ models for coastal zone and shelf (modelling project); preliminary modelling of micronecton/necton.
The QuOTA project involved NOAA-IPRC and CMAR jointly undertaking to build a very high quality ocean thermal data archive by applying methods and expertise developed through the NOAA-IPRC/CMAR IOTA (Indian Ocean Thermal Archive) collaboration which was established in 1998. The Quota Project resulted in building a high quality upper ocean temperature dataset for the Indian Ocean and the South-western Pacific (east of the dateline). QuOTA contains ocean temperature data collected since 1778 and includes XBT, CT, CU, CTD, XCDT, MBT, BT, BA, DT, SST, TE, UO, bottle, drifting and moored bouy data. Quality control of the data is done by automated processes, followed by 'hand-QC' of data that fails the automated test. This results in a data set containing very little 'bad' data and any that remains is usually subtly faulty, having little impact on most analyses.