Data

Facility for the Automated Intelligent Monitoring of Marine Systems - FAIMMS

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS) ; Integrated Marine Observing System (IMOS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/d63dc150-0d02-11dd-bbbb-00008a07204e&rft.title=Facility for the Automated Intelligent Monitoring of Marine Systems - FAIMMS&rft.identifier=https://apps.aims.gov.au/metadata/view/d63dc150-0d02-11dd-bbbb-00008a07204e&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Sensor networks are a leading edge technology that can be used to provide spatially dense bio-physical measurements in real-time. In the marine environment they have particular application to the study of benthic ecosystems. The term 'sensor network' refers to an array of small, wirelessly interconnected sensors that collectively stream sense data to a central data aggregation point. Some sensors can be set to sample according to prevailing conditions (e.g. monitoring salinity more frequently after rainfall), but since communications with the sensors will be bi-directional they can also be manipulated by central land-based control systems. Initially they will be deployed in a large scale pilot to collect data related to the interaction of heat and light in coral bleaching, and to understanding the impact of upwelling from the Coral Sea upon the productivity of Great Barrier Reef ecosystems.While sensor networks are a leading edge technology, they are well suited to the proposed application because proven technologies exist for reliable sensing of physical variables (e.g. temperature, salinity, light) critical to the immediate scientific questions, which are:1. understanding the interaction of heat and light in coral bleaching, and2. understanding the impact of upwelling from the Coral Sea upon the productivity of GBR ecosystems.The immediate value of the network will be its ability to return spatially dense bio-physical measurements in real-time. As such this represents a large scale trial or proof of concept of a very important emerging technology for application in the marine environment with particular relevance to benthic ecosystems such as Great Barrier Reef and other benthic environments. The project looks to deploy sensor networks at seven sites along the Great Barrier Reef to measure a range of physical parameters at a range of scales. The project will install communications, data and platform infrastructure that will support future sensor work looking at biological and chemical parameters. The FAIMMS Project is part of the GBROOS or Great Barrier Reef Ocean Observing System project which in turn is part of the Australian Integrated Marine Observing System or IMOS.Maintenance and Update Frequency: continualStatement: Statement: All sensors are factory calibrated and serviced every six months.Statement: Data are checked against a set of rules and then flagged using the IODE set of flags.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.creator=Integrated Marine Observing System (IMOS) &rft.date=2024&rft.coverage=westlimit=153.0; southlimit=-28.0; eastlimit=154.0; northlimit=-27.0&rft.coverage=westlimit=153.0; southlimit=-28.0; eastlimit=154.0; northlimit=-27.0&rft.coverage=westlimit=151.776; southlimit=-23.54; eastlimit=152.179; northlimit=-23.37&rft.coverage=westlimit=151.776; southlimit=-23.54; eastlimit=152.179; northlimit=-23.37&rft.coverage=westlimit=146.262; southlimit=-19.29; eastlimit=148.08; northlimit=-17.91&rft.coverage=westlimit=146.262; southlimit=-19.29; eastlimit=148.08; northlimit=-17.91&rft.coverage=westlimit=145.275; southlimit=-14.784; eastlimit=145.606; northlimit=-14.455&rft.coverage=westlimit=145.275; southlimit=-14.784; eastlimit=145.606; northlimit=-14.455&rft_rights= http://creativecommons.org/licenses/by/3.0/au/&rft_rights=http://i.creativecommons.org/l/by/3.0/au/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 3.0 Australia License&rft_rights=http://creativecommons.org/international/au/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Integrated Marine Observing System (IMOS). (2015). Facility for the Automated Intelligent Monitoring of Marine Systems - FAIMMS. https://apps.aims.gov.au/metadata/view/d63dc150-0d02-11dd-bbbb-00008a07204e, accessed[date-of-access].&rft_rights=Resource Usage:The citation in a list of references is: IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access].Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: Data was sourced from the Integrated Marine Observing System (IMOS) - IMOS is a national collaborative research infrastructure, supported by the Australian Government. If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).Metadata Usage:Security classification code: unclassified&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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License Text

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Integrated Marine Observing System (IMOS). (2015). Facility for the Automated Intelligent Monitoring of Marine Systems - FAIMMS. https://apps.aims.gov.au/metadata/view/d63dc150-0d02-11dd-bbbb-00008a07204e, accessed[date-of-access]".

Resource Usage:The citation in a list of references is: "IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access].Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: "Data was sourced from the Integrated Marine Observing System (IMOS) - IMOS is a national collaborative research infrastructure, supported by the Australian Government." If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).Metadata Usage:Security classification code: unclassified

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Brief description

Sensor networks are a leading edge technology that can be used to provide spatially dense bio-physical measurements in real-time. In the marine environment they have particular application to the study of benthic ecosystems. The term 'sensor network' refers to an array of small, wirelessly interconnected sensors that collectively stream sense data to a central data aggregation point. Some sensors can be set to sample according to prevailing conditions (e.g. monitoring salinity more frequently after rainfall), but since communications with the sensors will be bi-directional they can also be manipulated by central land-based control systems. Initially they will be deployed in a large scale pilot to collect data related to the interaction of heat and light in coral bleaching, and to understanding the impact of upwelling from the Coral Sea upon the productivity of Great Barrier Reef ecosystems.While sensor networks are a leading edge technology, they are well suited to the proposed application because proven technologies exist for reliable sensing of physical variables (e.g. temperature, salinity, light) critical to the immediate scientific questions, which are:1. understanding the interaction of heat and light in coral bleaching, and2. understanding the impact of upwelling from the Coral Sea upon the productivity of GBR ecosystems.The immediate value of the network will be its ability to return spatially dense bio-physical measurements in real-time. As such this represents a large scale trial or proof of concept of a very important emerging technology for application in the marine environment with particular relevance to benthic ecosystems such as Great Barrier Reef and other benthic environments. The project looks to deploy sensor networks at seven sites along the Great Barrier Reef to measure a range of physical parameters at a range of scales. The project will install communications, data and platform infrastructure that will support future sensor work looking at biological and chemical parameters. The FAIMMS Project is part of the GBROOS or Great Barrier Reef Ocean Observing System project which in turn is part of the Australian Integrated Marine Observing System or IMOS.

Lineage

Maintenance and Update Frequency: continual
Statement: Statement: All sensors are factory calibrated and serviced every six months.Statement: Data are checked against a set of rules and then flagged using the IODE set of flags.

Notes

Credit
Wireless Sensor Networks Facility, part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)
Credit
Australian Institute of Marine Science (AIMS)
Credit
Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.

Modified: 15 08 2024

This dataset is part of a larger collection

Click to explore relationships graph

154,-27 154,-28 153,-28 153,-27 154,-27

153.5,-27.5

152.179,-23.37 152.179,-23.54 151.776,-23.54 151.776,-23.37 152.179,-23.37

151.9775,-23.455

148.08,-17.91 148.08,-19.29 146.262,-19.29 146.262,-17.91 148.08,-17.91

147.171,-18.6

145.606,-14.455 145.606,-14.784 145.275,-14.784 145.275,-14.455 145.606,-14.455

145.4405,-14.6195

text: westlimit=153.0; southlimit=-28.0; eastlimit=154.0; northlimit=-27.0

text: westlimit=151.776; southlimit=-23.54; eastlimit=152.179; northlimit=-23.37

text: westlimit=146.262; southlimit=-19.29; eastlimit=148.08; northlimit=-17.91

text: westlimit=145.275; southlimit=-14.784; eastlimit=145.606; northlimit=-14.455

Subjects
oceans |

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Other Information
Lessons from the field - Two years of deploying operational wireless sensor networks on the Great Barrier Reef: Bainbridge S, Eggeling D and Page G (2011) Lessons from the field - Two years of deploying operational wireless sensor networks on the Great Barrier Reef. Sensors 11: 6842-6855.

local : articleId=8864

Physical monitoring of the Great Barrier Reef to understand ecological responses to climate change: Lough JM, Bainbridge S, Berkelmans RWC and Steinberg CR (2010) Physical monitoring of the Great Barrier Reef to understand ecological responses to climate change. pp. 66-110. In: You J and Henderson-Sellers A (eds) Climate Change Monitoring and Strategy. Sydney University Press.

local : articleId=8004

FAIMMS Sites

uri : https://data.aims.gov.au/gbroosdata/services/rss/site/1

A services based architecture for acheiving interoperability of environmental observational data: Bainbridge S (2011) A services based architecture for acheiving interoperability of environmental observational data. 2011: 15-20. In: Jones MB and Gries CG (eds) Proceedings of the Environmental Information Managment Conference 2011. University of California at Santa Barbara.

local : articleId=8975

global : 506788a0-0b4e-11dd-9669-00008a07204e

Identifiers
  • global : d63dc150-0d02-11dd-bbbb-00008a07204e