Data

Macquarie Harbour dissolved oxygen and temperature monitoring data from acoustic telemetry sensors (2017-2018)

University of Tasmania, Australia

Ross, Jeff

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25959/0348-QS76&rft.title=Macquarie Harbour dissolved oxygen and temperature monitoring data from acoustic telemetry sensors (2017-2018)&rft.identifier=10.25959/0348-QS76&rft.description=Sustainable finfish aquaculture is dependent on a benthic environment that can assimilate and process farm particulate wastes. In Macquarie Harbour, bottom and mid water Dissolved Oxygen levels have reached very low levels, which is associated with an increase in the presence of bacterial mats and a significant decline in the abundance and diversity of benthic fauna. Dissolved Oxygen levels are a major determinant of the response of benthic communities in the harbour over timescales of months to years.This dataset consists of data collected by the real-time dissolved oxygen (DO) monitoring system deployed at three locations in Macquarie Harbour, Tasmania. Loggers were originally established under the Sense-T program, continued under FRDC project 2016-067, and deployed and maintained by IMAS. The system consists of 3 strings of acoustically telemetered, optical fluorescence DO, temperature and depth sensors (VEMCO, Bedford, Canada) which measure DO (% saturation) and temperature (°C) across a depth gradient. Data collected from 01-01-2017 to 19-04-2017 consists of data was collected using the first generation of sensors, while data subsequent to 03-06-2017 was collected using a new generation of tags which contain a tilt instead of a depth sensor.Maintenance and Update Frequency: quarterlyStatement: Sensor data underwent a series of both manual and automated screening steps to remove erroneous values. Each data record consists of a depth, temperature and dissolved oxygen value, which are measured approximately simultaneously. If one of these three parameters was flagged for removal by a filter, the entire record, including all three parameters, was removed. 1. For probes with failed depth sensors (N=3), measured depths were replaced with approximate deployment depth. This means subsequent depth-focused cleaning steps could not be applied to these probes. 2. Any sensors with less than 30 transmissions were removed from the dataset. Some of the first generation probes suffered from a slow leak, which led to sensor failure within a few days after deployment. The condition of a minimum of 30 transmissions removes any data from these probes as it is deemed to be unreliable. 3. A gross range filter was applied to the DO data removing any records >125% saturation. 4. A moving window filter was applied to remove statistical outliers from the depth data. Outliers were defined as values falling outside of the range defined by the upper quartile + 3*IQR and the lower quartile – 3*IQR with IQR being the interquartile range. Window size of the filter was 24 hours to ensure inclusion of a full tidal cycle. 5. Following the automated filter, any data from periods when sensor strings were retrieved or redeployed as part of routine maintenance operations or when the probe reached the end of its battery life, causing a slow sensor drift, were removed manually.&rft.creator=Ross, Jeff &rft.date=2020&rft.coverage=westlimit=145.365; southlimit=-42.30; eastlimit=145.375; northlimit=-42.290000000000006&rft.coverage=westlimit=145.365; southlimit=-42.30; eastlimit=145.375; northlimit=-42.290000000000006&rft.coverage=westlimit=145.41; southlimit=-42.34; eastlimit=145.42; northlimit=-42.33&rft.coverage=westlimit=145.41; southlimit=-42.34; eastlimit=145.42; northlimit=-42.33&rft.coverage=westlimit=145.31; southlimit=-42.265; eastlimit=145.32; northlimit=-42.255&rft.coverage=westlimit=145.31; southlimit=-42.265; eastlimit=145.32; northlimit=-42.255&rft.coverage=uplimit=47; downlimit=2&rft.coverage=uplimit=47; downlimit=2&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=Cite data as: Ross, J. (2018). Macquarie Harbour dissolved oxygen and temperature monitoring data from acoustic telemetry sensors (2017-2018) [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/0348-QS76&rft_rights=The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies. Whilst IMAS has made every attempt to ensure the accuracy and reliability of the data through the data filtering protocol outlined in the Methodological Information, it is the responsibility of the data user to make their own decisions about the accuracy, currency, reliability and correctness of information provided. IMAS does not accept any liability for any damage caused by, or economic loss arising from, reliance on this information.&rft_subject=oceans&rft_subject=OXYGEN&rft_subject=WATER TEMPERATURE&rft_subject=Environmental Impact Assessment&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Natural Resource Management&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=fixed benthic node&rft_subject=Temperature of the water body&rft_subject=Saturation of oxygen {O2} in the water body [dissolved phase]&rft.type=dataset&rft.language=English Access the data

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Cite data as: Ross, J. (2018). Macquarie Harbour dissolved oxygen and temperature monitoring data from acoustic telemetry sensors (2017-2018) [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/0348-QS76

The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies. Whilst IMAS has made every attempt to ensure the accuracy and reliability of the data through the data filtering protocol outlined in the Methodological Information, it is the responsibility of the data user to make their own decisions about the accuracy, currency, reliability and correctness of information provided. IMAS does not accept any liability for any damage caused by, or economic loss arising from, reliance on this information.

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Full description

Sustainable finfish aquaculture is dependent on a benthic environment that can assimilate and process farm particulate wastes. In Macquarie Harbour, bottom and mid water Dissolved Oxygen levels have reached very low levels, which is associated with an increase in the presence of bacterial mats and a significant decline in the abundance and diversity of benthic fauna. Dissolved Oxygen levels are a major determinant of the response of benthic communities in the harbour over timescales of months to years.

This dataset consists of data collected by the real-time dissolved oxygen (DO) monitoring system deployed at three locations in Macquarie Harbour, Tasmania. Loggers were originally established under the Sense-T program, continued under FRDC project 2016-067, and deployed and maintained by IMAS. The system consists of 3 strings of acoustically telemetered, optical fluorescence DO, temperature and depth sensors (VEMCO, Bedford, Canada) which measure DO (% saturation) and temperature (°C) across a depth gradient. Data collected from 01-01-2017 to 19-04-2017 consists of data was collected using the first generation of sensors, while data subsequent to 03-06-2017 was collected using a new generation of tags which contain a tilt instead of a depth sensor.

Lineage

Maintenance and Update Frequency: quarterly

Statement: Sensor data underwent a series of both manual and automated screening steps to remove erroneous values. Each data record consists of a depth, temperature and dissolved oxygen value, which are measured approximately simultaneously. If one of these three parameters was flagged for removal by a filter, the entire record, including all three parameters, was removed. 1. For probes with failed depth sensors (N=3), measured depths were replaced with approximate deployment depth. This means subsequent depth-focused cleaning steps could not be applied to these probes. 2. Any sensors with less than 30 transmissions were removed from the dataset. Some of the first generation probes suffered from a slow leak, which led to sensor failure within a few days after deployment. The condition of a minimum of 30 transmissions removes any data from these probes as it is deemed to be unreliable. 3. A gross range filter was applied to the DO data removing any records >125% saturation. 4. A moving window filter was applied to remove statistical outliers from the depth data. Outliers were defined as values falling outside of the range defined by the upper quartile + 3*IQR and the lower quartile – 3*IQR with IQR being the interquartile range. Window size of the filter was 24 hours to ensure inclusion of a full tidal cycle. 5. Following the automated filter, any data from periods when sensor strings were retrieved or redeployed as part of routine maintenance operations or when the probe reached the end of its battery life, causing a slow sensor drift, were removed manually.

Modified: 21 01 2019

Data time period: 2017-01-01 to 2018-10-23

This dataset is part of a larger collection

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text: westlimit=145.365; southlimit=-42.30; eastlimit=145.375; northlimit=-42.290000000000006

text: westlimit=145.41; southlimit=-42.34; eastlimit=145.42; northlimit=-42.33

text: westlimit=145.31; southlimit=-42.265; eastlimit=145.32; northlimit=-42.255

text: uplimit=47; downlimit=2

Subjects

Biological Sciences | Ecology | Environmental Science and Management | Environmental Sciences | Environmental Impact Assessment | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Natural Resource Management | OXYGEN | Saturation of oxygen {O2} in the water body [dissolved phase] | Temperature of the water body | WATER TEMPERATURE | fixed benthic node | oceans |