The datasets contain summaries of NSW Fisheries logbook data on catch and effort distribution for commercial fisheries in state marine and estuarine waters. The logbook data has been recorded and submitted to NSW DPI by commercial fishers. The data are aggregated to produce summaries of total catch and effort by fishery at a 1 degree resolution where 5 boats or more operate. For areas where less than 5 boats operate the data is shown as confidential. The data was mapped using 5 year - financial year periods; 2003/04 to 2007/08, 2008/09 to 2012/13, 2018/19 to 2022/23, and 1 year; 2022/23.

The datasets contain summaries of South Australia Fisheries logbook data on catch and effort distribution for commercial fisheries in state marine and estuarine waters. The logbook data has been recorded and submitted to SA DPIR by commercial fishers. The data are aggregated to produce summaries of total catch and effort by fishery the minimum resolution permissable where 5 boats or more operate. For areas where less than 5 boats operate the data is shown as confidential. The data was mapped using 5 year - financial year periods; 2003/04 to 2007/08, 2008/09 to 2012/13, 2018/19 to 2022/23, and 1 year; 2022/23.

This resource includes the series of Aquaculture Site Maps produced for New South Wales and depicts the aquaculture lease area and state wide production totals. The data has been recorded and submitted to NSW DPI.

This resource is a map of artifical reef permit locations provided by The Department of Climate Change, Energy, the Environment and Water

The datasets contain summaries of South Australian Aquaculture sites in state marine and estuarine waters.

This resource is Sea Surface Temperature derived from the MODIS Satelite for the tie period 2018 - 2022 and current 2022 - 2023. The MODIS Sea Surface Temperature product is derived from MODIS bands 31 and 32 according to the algorithm described at https://oceancolor.gsfc.nasa.gov/atbd/sst/. This is not a GHRSST-quality product, and demanding applications requiring a high standard of accuracy should consider using one of the IMOS GHRSST products in preference. The MODIS SST is nevertheless useful primarily because it is measured at the same time as the water leaving radiances used to derive the optical properties (eg chl). This means it is both contemporaneous, and has a matching cloud mask, so it is valuable for applications that seek to combine both SST and optical properties (ie Net Primary Productivity variants). The data set provided here matches the Chl_oci product in temporal and spatial extent. This SRS dataset covers waters around Australia.

This metadata catalogue presents a list of the data assets used in the analysis presented in this report: Ogier, E., Sen, S., Smith, D. C., Rust, S., Magnusson, A., Jennings, S., Pethiyagoda, N., Spanou, E. (2025). Impact of COVID-19 on the Australian Seafood Industry: January 2020-June 2021 and beyond. Report prepared as part of FRDC project 2021-042: Impacts of COVID-19 on the Australian Seafood Industry: Extending the assessment to prepare for uncertain futures. Canberra, Australia, Fisheries Research and Development Corporation (FRDC).

This resource is a Spatial Representation of the boundaries of 2D Reprocessed Seismic Surveys (applying updated processing techniques to existing 2D seismic surveys). Data is derived from the National Offshore Petroleum Information Management System (NOPIMS). https://nopims.dmp.wa.gov.au/Nopims/GISMap/Map While every effort is made to ensure that surveys are correctly located on the map, their location is only an aid to search and discovery of survey data. Proper submitted navigation/position data associated with the survey should be used to correctly locate a survey Disclaimer Surveys are spatially represented in NOPIMS by their post-plot navigation (i.e. actual survey data acquired and not the planned or pre-plot navigation). 3D surveys are spatially represented by their full fold data polygon (i.e. actual seismic data coverage), if this is not available the four sided binning polygon will be used instead. This means that the data coverage for a survey will most likely be less than its spatial representation. 2D surveys are spatially represented by "ends-and-bends" lines derived from the P1/90 processed navigation. For some older surveys, or where proper P1/90 navigation is not available, the survey lines are derived from digitized maps or other navigation data of unknown source, but verified against other available information.