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Global / Oceans | Southern Ocean

507 record(s)

 

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From 1 - 10 / 507
  • Categories  

    This dataset contains data collected by the Australian Continuous Plankton Recorder (AusCPR) survey and is funded by IMOS (Ships of Opportunity sub-facility) and CSIRO. The aims of the AusCPR survey are to: * map plankton biodiversity and distribution * develop the first long-term plankton baseline for Australian waters * document plankton changes in response to climate change * provide indices for fisheries management * detect harmful algal blooms * validate satellite remote sensing * initialise and test ecosystem models. The survey conducts repeat tows in the GBR, the East Australian Current and down to the Southern Ocean Time Series Mooring (SOTS). Other routes are conducted on an adhoc nature around Australia. The dataset also contains phytoplankton data from the UTAS / AAD led Southern Ocean CPR (SOCPR) project which is also funded by IMOS. The datasets available in this collection include Phytoplankton Colour Index (an estimate of chlorophyll in the water), phytoplankton abundance, zooplankton abundance and a biomass index from AusCPR and phytoplankton abundance from SOCPR. This data are freely available through the AODN portal: https://portal.aodn.org.au. This data is freely available but please acknowledge all relevant parties, as detailed in acknowledgement section.

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    This collection of Southern Hemisphere Deep-sea Corals consists of antipatherians (black corals), gorgonians (soft corals) and scleractinians (stony corals). This includes both live caught, sub-fossil and fossil material. Some samples date back to ca. 20,000 years before present; some of the un-dated material (based on work on samples sent to Californian Institute of Technology) are likely to be very much older. The collection is housed at CSIRO Marine Laboratories in Hobart, Tasmania.

  • Information relating to Australian fisheries closures imposed by AFMA (Australian Fisheries Management Authority) and gazetted through ComLaw have been collated and tabulated with mapable GIS references in an ORACLE data base. This database allows searching, viewing and GIS mapping of the Australian spatial fisheries management through time. Mapping views of fisheries closures can be created for time, fisheries and gear types. Changes in spatial management through time will be mapable using a time-series of mapping views. The data is currently complete for the time-period of 2005 to Feb 2013. It is intended to continue this records as new gazettes are released as part of annual stock assessment updates. Non-fisheries closures (MPA, CMR) are also intended to be included but this is dependent on continued funding and demand for their use. Disclaimer: These data have been collated and made accessible for scientific research only, they may not be complete or representing the most up-to-date data. For the most recent spatial management arrangements for legal and commercial purposes, refer to the relevant current ComLaw documents or contact AFMA.

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    The CSIRO archive of observed atmospheric CO2 concentrations at the Maquarie Island Research Station, measured with the CSIRO developed LOFLO Mk2 instrument. LOFLO is an analysis system built around a commercial LI-COR 6251 optical bench which utilizes NDIR (non-dispersive infrared) gas analysis technology to measure CO2 concentrations in sample air. Consuming smaller volumes of calibration gases (approx. 15ml/min) and requiring much less operator intervention, LOFLO measurements have significantly less bias than traditional NDIR measurement techniques. Measurements using LOFLO first began at Cape Grim in May 2000 and has since been expanded to other global stations with the newer improved LOFLO Mk2. Stations using LOFLO include Cape Grim, Maquarie Island, Otways Basin and Aspendale. CO2 measurements are available from the Maquarie Island Research Station for the period 1/1/05 until present, with logged data available as yearly ascii text files in hourly averaged and minutely averaged periods for CO2 concentration, standard deviation, max & min values as well as a baseline flag. Typically file size is approximately 500 KB and 12 MB for an hourly averaged and minutely averaged year of data respectively.

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    Fisheries management is increasingly involving a wide range of stakeholders in the decision making process. An implicit assumption in these management structures is that stakeholder representatives present a unified view, and that these views combine to derive optimal management decisions that best satisfy all stakeholders. In this paper, the analytic hierarchy process (AHP) is used to determine the objective preference structure of stakeholder representatives involved in Australian Commonwealth fisheries management. The results indicate that there is generally low coherence within stakeholder groups, suggesting that management decision making is a function more of the set of individuals than the stakeholder groups they represent. The stakeholders represented were from policy and management, science, industry, environment, economics, social science and recreation.

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    This data set is the laboratory analysis of Lipids, fatty acids and sterols of numerous species of marine animals from the Tasman Sea, Pacific and Southern Ocean, collected between 1986 and 2008. Some portions of the data collection and analysis are still ongoing.

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    This resource describes a small sample of tag location and sensor information extracted from the CSIRO Tag Database. This consists of data from two tag deployments, which are presented in a format suitable for ingestion into the JPL Satellite-In situ Data Visualization Tool ("Coverage"). The data are presented as two projects, representing each tag deployment: Sample 01: CSIRO Southern Bluefin Tuna Tagging Program - Archival Tag Sample 01 - Sample data from a single Archival Tag (Wildlife Computers Mk7) deployed on a Southern Bluefin Tuna (T. maccoyii) in the Great Australian Bight (South Australia) on 25-Jan-1998. Sample 02: CSIRO White Shark Tagging Program - Satellite Tag Sample 02 - Sample data from a single Satellite Tag (Tag No: 06S0147, Wildlife Computers SPOT4) deployed on a White Shark (C. carcharias) in the Great Australian Bight (South Australia) on 29-Jun-2006. This resource is part of a broader tagging program, for more information please refer to the related parent study 'Pelagic Fish and Shark Tag Database'. A link can be found via the Online Resources. The position errors are estimates and are based on the data variability (Sample 01) or the Argos reported error codes (Sample 02). For Sample 01, the error estimate was calculated at three times the standard deviation, rounded up to the nearest 5km (5000m), and is typically in the order of 160km. The flag value '-9' is used where the position uncertainty is not reported. Positional data only were used for the White Shark, however a more complete set of data were extracted for the Southern Bluefin Tuna (SBT) - consisting of both positional information, and sensor information comprised of depth, internal and external temperature and light intensity. A 'windowing' function was applied across the data to generate a single consistent dataset, combining both data streams, with the sensor data cross-referencing the last recorded position. Additional checks and validations were applied at the data level, to ensure data quality. Sensor data was excluded where it was received more than 24 hours after a position update. The data are available in the Kaleidoscope spatial portal: https://kaleidoscope.terria.io/#share=s-2Xkn2gaP2rkZYJrpotMfF85Sslj Keywords: Tag, Southern Bluefin Tuna, SBT, White Shark.

  • This record describes multibeam echosounder data collected on RV Investigator voyage IN2018_V02 ,”SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania" and "Subantarctic Biogeochemistry of Carbon and Iron, Southern Ocean Time Series site" which departed Hobart on the 03 March 2018 and returned to Hobart briefly on 12 March and finally concluded on the 21 March 2018. The Kongsberg EM710 MKII multibeam echosounder was used to acquire seafloor bathymetry and backscatter information in shallow water during transits. The EM710 MKII provides a 0.5° by 1° transmit and receive angular resolution respectively. The echosounder's nominal frequency range is from 40 to 100 kHz. Data are stored in *.all raw format for bathymetry and backscatter and *.wcd format for watercolumn backscatter at CSIRO. There are 39 files totalling 5.93 GB of raw data in this dataset. Sound velocity profiles were applied to this data during data acquisition. Bathymetry data contained in *.all format are corrected for motion and position. Tide corrections were not applied to the processed data. Processed data has had outliers removed. Processed line data are available in *.gsf and ascii format, and processed bathymetry grid in geotiff format. Additional information regarding this dataset, including further information on processing streams, is contained in the GSM data acquisition and processing report. Additional data products may be available on request.

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    This data set contains Simrad EK500 single beam echosounder data at 38 and 120 kHz and Simrad EA500 single beam echosounder data at 12 kHz from the Southern Surveyor. The EK500 data is primarily for water column characterisation (fish stocks, microplankton distribution) and on occasions for seabed classification (particularly prior to the EM300 swath mapper being installed), while the EA500 data is primarily for bathymetric readings.

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    This biological overview for the Southern Surveyor voyage SS 02/1999. The voyage took place in waters off Cape Grim and in the Southern Ocean during February 1999. This dataset has been partly processed and has not yet been archived within the CSIRO Marine and Atmospheric Research Data Centre in Hobart. Additional information regarding this dataset is contained in the cruise report for this voyage and/or the data processing report. On this cruise pigments and chlorophyll a were collected by (Unknown) and later processed at CMAR, Hobart by Pru Bonham. This cruise complements work done in the same region on Southern Surveyor in spring 1995 (SS 11/95), and on Aurora Australis in late summer, 1998.