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aodn_vessel_fishsoop_realtime_qc.yaml
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aodn_vessel_fishsoop_realtime_qc.yaml
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Citation: 'For data collected prior to 1 July 2024: " UNSW Sydney [year-of-data-download],
IMOS SOOP - Fisheries Vessels as Ships of Opportunity Sub-Facility - Real-time data, Downloaded from [url] on [date-of-download]".
For data collected after 1 July 2024: " UNSW Sydney; IMOS [year-of-data-download],
IMOS SOOP - Fisheries Vessels as Ships of Opportunity Sub-Facility - Real-time data, Downloaded from [url] on [date-of-download]".'
Contact: [email protected]
DataAtWork:
Tutorials:
- AuthorName: Laurent Besnard
AuthorURL: https://github.com/aodn/aodn_cloud_optimised
NotebookURL: https://githubtocolab.com/aodn/aodn_cloud_optimised/blob/main/notebooks/vessel_fishsoop_realtime_qc.ipynb
Title: Accessing IMOS SOOP - Fisheries Vessels as Ships of Opportunity Sub-Facility - Real-time data
URL: https://nbviewer.org/github/aodn/aodn_cloud_optimised/blob/main/notebooks/vessel_fishsoop_realtime_qc.ipynb
- AuthorName: Laurent Besnard
AuthorURL: https://github.com/aodn/aodn_cloud_optimised
NotebookURL: https://githubtocolab.com/aodn/aodn_cloud_optimised/blob/main/notebooks/GetAodnData.ipynb
Title: Accessing and search for any AODN dataset
URL: https://nbviewer.org/github/aodn/aodn_cloud_optimised/blob/main/notebooks/GetAodnData.ipynb
Description: "Fisheries Vessels as Ships of Opportunities (FishSOOP) is an IMOS Sub-Facility\
\ working with fishers to collect real-time temperature and depth data by installing\
\ equipment on a network of commercial fishing vessels using a range of common fishing\
\ gear.\n\nEvery day, fishing vessels operate broadly across the productive areas\
\ of Australia\u2019s Exclusive Economic Zone where we have few subsurface ocean\
\ measurements. The FishSOOP Sub-Facility is utilising this observing opportunity\
\ to cost-effectively increase the spatial and temporal resolution of subsurface\
\ temperature data in Australia\u2019s inshore, shelf, upper-slope, and offshore\
\ waters. The data is currently returned to each fishing boat in near-real time,\
\ so skippers can relate their catches to temperature-at-depth information. The\
\ same data will also be collated to provide oceanographers with quality-controlled\
\ data for ground-truthing coastal models and to improve analysis and forecasts\
\ of oceanic conditions.\n\nThe IMOS funded data collection follows on from a Fisheries\
\ Research and Development Corporation (FRDC) funded pilot project (2022-007) with\
\ the University of New South Wales, Fishwell Consulting and IMOS. In the first\
\ year of the project 32 commercial fishing vessels had been equipped with sensors.\
\ They covered a range of fishing vessels, including scallop dredges, tuna longlines,\
\ shark gillnets, otter board trawlers, lobster pots, fish traps, prawn trawlers,\
\ squid jigs, and danish seines. We also had a pre-trial test with one boat the\
\ year prior, with the sensor installed on a trawler."
Documentation: https://catalogue-imos.aodn.org.au/geonetwork/srv/eng/catalog.search#/metadata/bdb84466-dc53-49ad-a60f-83d9fa0baed5
License: http://creativecommons.org/licenses/by/4.0/
ManagedBy: AODN
Name: Ships of Opportunity - Fisheries vessels - Real time
Resources:
- ARN: arn:aws:s3:::aodn-cloud-optimised/vessel_fishsoop_realtime_qc.parquet
Description: Cloud Optimised AODN dataset of IMOS SOOP - Fisheries Vessels as Ships of Opportunity Sub-Facility -
Real-time data
Region: ap-southeast-2
Type: S3 Bucket
Tags:
- oceans
UpdateFrequency: As Needed