Dataset

Davies Reef Base 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=info:doi10.25845/5c09bf93f315d&rft.title=Davies Reef Base Station&rft.identifier=https://doi.org/10.25845/5c09bf93f315d&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=The Davies Reef Base Station performs two functions. The first is to act as a collection point for the sensor network platforms deployed within the reef and to in turn send the data back to the AIMS Data Centre. The second is as a platform for sensors with current sensors including two underwater PAR sensors and a still camera. \n \n The base station is co-located with the AIMS Automatic Weather Station on the Davies Reef Tower in order to optimise the use of power and communications infrastructure.\n The base station provides the link between the on-water platforms and the mainland systems, it polls each of the sensor floats and collects the data and then forwards this over a Telstra nextG link to the mainland and the AIMS Data Centre. \n \n The base station also hosts its own sensors, currently these include underwater PAR and a still camera.\n 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)\n&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2012&rft.coverage=northlimit=-18.831; southlimit=-18.831; westlimit=147.634; eastLimit=147.634&rft.coverage=northlimit=-18.831; southlimit=-18.831; westlimit=147.634; eastLimit=147.634&rft_rights=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). (2009). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Davies Reef]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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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). (2009). Northern Australia Automated Marine Weather and Oceanographic Stations, Sites: [Davies Reef]. https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

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Brief description

The Davies Reef Base Station performs two functions. The first is to act as a collection point for the sensor network platforms deployed within the reef and to in turn send the data back to the AIMS Data Centre. The second is as a platform for sensors with current sensors including two underwater PAR sensors and a still camera. \n \n The base station is co-located with the AIMS Automatic Weather Station on the Davies Reef Tower in order to optimise the use of power and communications infrastructure.\n The base station provides the link between the on-water platforms and the mainland systems, it polls each of the sensor floats and collects the data and then forwards this over a Telstra nextG link to the mainland and the AIMS Data Centre. \n \n The base station also hosts its own sensors, currently these include underwater PAR and a still camera.\n 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)\n

Notes

Wireless Sensor Networks Facility, part of the Great Barrier Reef Ocean Observing System project (GBROOS) (IMOS)
Bainbridge, Scott, Mr (Point Of Contact)

Modified: 20200629

Data time period: 2011-05-07

This dataset is part of a larger collection

147.634,-18.831

147.634,-18.831

text: northlimit=-18.831; southlimit=-18.831; westlimit=147.634; eastLimit=147.634

Subjects
oceans |

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Identifiers
  • Local : 076c8641-6e72-4be7-9eb7-e21145cc6525
  • global : 076c8641-6e72-4be7-9eb7-e21145cc6525