Data

One Tree Island Automated Marine Weather And Oceanographic Station

Australian Ocean Data Network
Australian Institute of Marine Science (AIMS)
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/ee22a601-97cf-4b91-ac85-36c0198f912c&rft.title=One Tree Island Automated Marine Weather And Oceanographic Station&rft.identifier=https://apps.aims.gov.au/metadata/view/ee22a601-97cf-4b91-ac85-36c0198f912c&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Sensor network infrastructure was installed at One Tree Island in the southern Great Barrier Reef off Gladstone, Australia. The infrastructure consists of a base station mounted on the existing water tower and three sensor poles located in each of the major lagoon systems around the island. Each pole has a thermistor mounted at the base and then a thermistor string with five additional sensors that are located down the wall of the coral structure into the lagoon. The initial design is to monitor the flow of water through the lagoon which is often 'ponded' due to the high coral rim to the lagoon, this creates complex in and out flows and flushing of the lagoon system. The deployment in August 2008 consisted of the base station using the Telstra nextG service, three 6m relay-sensor poles located in the lagoons. 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. This project is part of the Wireless Sensor Networks Facility (formerly known as Facility for The Automated Intelligent Monitoring of Marine Systems (FAIMMS)), part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)Maintenance and Update Frequency: asNeededStatement: 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.date=2024&rft.coverage=westlimit=152.037; southlimit=-23.515; eastlimit=152.101; northlimit=-23.478&rft.coverage=westlimit=152.037; southlimit=-23.515; eastlimit=152.101; northlimit=-23.478&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: Australian Institute of Marine Science (AIMS). (2017). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [One Tree Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access].&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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http://creativecommons.org/licenses/by/3.0/au

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http://creativecommons.org/international/au/

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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: "Australian Institute of Marine Science (AIMS). (2017). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [One Tree Island]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

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Brief description

Sensor network infrastructure was installed at One Tree Island in the southern Great Barrier Reef off Gladstone, Australia. The infrastructure consists of a base station mounted on the existing water tower and three sensor poles located in each of the major lagoon systems around the island. Each pole has a thermistor mounted at the base and then a thermistor string with five additional sensors that are located down the wall of the coral structure into the lagoon. The initial design is to monitor the flow of water through the lagoon which is often 'ponded' due to the high coral rim to the lagoon, this creates complex in and out flows and flushing of the lagoon system. The deployment in August 2008 consisted of the base station using the Telstra nextG service, three 6m relay-sensor poles located in the lagoons. 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. This project is part of the Wireless Sensor Networks Facility (formerly known as Facility for The Automated Intelligent Monitoring of Marine Systems (FAIMMS)), part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)

Lineage

Maintenance and Update Frequency: asNeeded
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
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.
Credit
Australian Institute of Marine Science (AIMS)
Credit
Wireless Sensor Networks Facility, part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)

Modified: 10 08 2024

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152.101,-23.478 152.101,-23.515 152.037,-23.515 152.037,-23.478 152.101,-23.478

152.069,-23.4965

text: westlimit=152.037; southlimit=-23.515; eastlimit=152.101; northlimit=-23.478

Subjects
oceans |

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Other Information
Data access using R

uri : https://docs.ropensci.org/dataaimsr/

Data access via Programming API

uri : https://open-aims.github.io/data-platform/

Marine Weather Observations for One Tree Island

uri : https://weather.aims.gov.au/#/station/131

global : 0887cb5b-b443-4e08-a169-038208109466

Identifiers
  • global : ee22a601-97cf-4b91-ac85-36c0198f912c