Macquarie Harbour Dissolved Oxygen and Temperature Monitoring Data - 01-01-2017 to 10-01-2018
This dataset consists of data collected by the real-time dissolved oxygen (DO) monitoring system in Macquarie Harbour, Tasmania, 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 in % saturation, temperature in °C and depth in meters. The dataset spanning the time period from the 1st of January 2017 to the 19th of April 2017 consists of data collected using the first generation of sensors as described above. Subsequent quarterly updates from the 3rd of June 2017 onwards consist of data collected using the new generation of tags which contain a tilt instead of a depth sensor.
Simple
Identification info
- Date (Creation)
- 2017-07-05
- Date (Revision)
- 2019-01-21T00:00:00
Principal investigator
- Status
- On going
Point of contact
Point of contact
- Topic category
-
- Oceans
Extent
Temporal extent
- Time period
- 2017-01-01 2018-10-23
Vertical element
- Minimum value
- 2
- Maximum value
- 47
- Identifier
- EPSG::5715
- Name
- MSL depth
- Maintenance and update frequency
- Quarterly
- NASA/GCMD Keywords, Version 8.5
- Keywords (Theme)
-
- Date and Time stamp of data record
- Deployment depth of sensor
- Unique identifier of sensor
- Sensor string site name
Resource constraints
- Classification
- Unclassified
Resource constraints
- Use limitation
- 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.
Resource constraints
- Linkage
-
http://i.creativecommons.org/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Website
-
http://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).
- Language
- English
- Character encoding
- UTF8
- Supplemental Information
- Ross, J. & Macleod, C. (2017). FRDC 2016/067: Understanding oxygen dynamics and the importance for benthic recovery in Macquarie Harbour, PROGRESS REPORT I. Institute for Marine and Antarctic Studies, University of Tasmania, Hobart.
Content Information
- Content type
- Physical measurement
Identifier
- Name
-
DO
- Identifier
- http://vocab.nerc.ac.uk/collection/P06/current/UPCT
- Name
- Percent
- Name
-
Date and Time stamp of data record
- Name
-
Date/Time
- Name
- yyyy-mm-dd hh:mm:ss
Identifier
- Name
-
Temp
- Identifier
- http://vocab.nerc.ac.uk/collection/P06/current/UPAA
- Name
- Degrees Celsius
- Name
-
Deployment depth of sensor
- Name
-
Depth
- Identifier
- http://vocab.nerc.ac.uk/collection/P06/current/ULAA
- Name
- Metres
- Name
-
Unique identifier of sensor
- Name
-
ID
- Description
- Site locations are as follows:Strahan: 42°17.826644'S,145°22.263815'EFranklin: 42°20.333079'S, 145°24.976993'ETable Head Central: 42°15.594707'S, 145°18.920177'E
- Name
-
Sensor string site name
- Name
-
Site
Distribution Information
- Distribution format
-
-
CSV
-
CSV
- OnLine resource
-
imas:FRDC_JRoss_MacHarbour_O2_Monitoring_MAP
MAP - monitoring sites
- OnLine resource
-
imas:FRDC_JRoss_MacHarbour_O2_Monitoring_DATA
This OCG WFS service returns the data for download in subsettable CSV format.
Resource lineage
- Statement
- The data was collected using 3 strings of acoustically telemetered, optical fluorescence DO, temperature and depth sensors (VEMCO, Bedford, Canada) which measure DO in % saturation, temperature in °C and depth in meters. The dataset spanning the time period from the 1st of January 2017 to the 19th of April 2017 consists of data collected using the first generation of sensors as described above. Subsequent quarterly updates from the 3rd of June 2017 onwards consist of data collected using the new generation of tags which contain a tilt instead of a depth sensor. 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. Hence, if one of the 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.
- Hierarchy level
- Dataset
- Hierarchy level
- Dataset
Platform
Identifier
- Code
- fixed benthic node
Metadata
- Metadata identifier
-
urn:uuid/3c5eb22d-b359-4f2f-ad68-8fef6e563514
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/3c5eb22d-b359-4f2f-ad68-8fef6e563514
Point of truth URL of this metadata record
- Date info (Creation)
- 2020-08-19T00:57:32
- Date info (Revision)
- 2025-01-03T17:29:51
Metadata standard
- Title
- ISO 19115-3:2018