The data layer (.tif) presented are the results of using MaxEnt to produce a single species habitat map for Sea Scallop (Placopecten magellanicus) on German Bank (off South West Nova Scotia, Canada). Presence data derived from videos and still images were compared against environmental variables derived from multibeam bathymetry (Slope, Curvature, Aspect and Bathymetric Position Index (BPI)), and backscatter data (principal components: Q1, Q2, and Q3). Results represent a probability of habitat suitability for Sea Scallop on German Bank. Probability of suitability: The probability that a given habitat is suitable for a species based on presence data and underlying environmental variables (i.e. probability of species occurrence). Reference: Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009 Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Distribution of Sea Scallop on German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/2bb98a09-5daf-42c4-94e8-e5de718b821d

The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat in the Bay of Fundy (Northwest Atlantic, Canada). This method involves separating environmental variables derived from multibeam bathymetry (slope, bathymetric position index), backscatter, and oceanographic information (wave-shear current velocity) into spatial units (i.e. image objects) and classifying the acoustically and oceanographically separated units into 7 habitat classes (Bedrock and Boulders, Mixed Sediments, Gravelly Sand, Sand, Silty Gravel with Anemones, Silt, and Tidal Scoured Mixed Sediments) using in-situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically and oceanographically distinguishable. Reference: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294 Cite this data as: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. Bay of Fundy Benthoscape. Published May 2023. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbabd17a-a2c7-4b3f-9bd8-a77a9c7f9c1c

The Seamap Australia spatial data layer is a nationally synthesised data product of seafloor marine habitat data. Australian continental shelf benthic habitat layers in GIS format were collected from various stakeholders around the country. Through compiling all of these data sets, we established a controlled vocabulary, reviewed by ANDS and external independent assessors, to produce a national classification of marine habitats. This national marine habitat classification scheme complements work undertaken by the National Environmental Science Program (NESP) Marine Biodiversity Hub (Theme D). The Seamap Australia product is of national importance and highlights the diversity of benthic habitats around our marine estate. This is the first edition of a seafloor marine habitat data layer that seamlessly brings together data from each of Australia’s state and territory marine habitat databases. Seamap Australia is a constantly evolving product as we continuously improve our skills in standardising, collating and sharing marine spatial data. This record describes a static version of the Seamap Australia national data layer as of 28/11/2018. The most current version of the data is available from the Seamap Australia website [http://seamapaustralia.org/map]. We envisage that the 'live' product will be constantly developed and updated as future surveys continue to improve our knowledge of our vast marine estate.

An integrated analysis of biological and geoscientific data collected from the nearshore marine environment of the Vestfold Hills was used to identify benthic habitats and associated communities and examine relationships between benthic community composition and environmental characteristics. A 48 km2 area was surveyed using a multibeam echosounder system (MBES) to produce high-resolution bathymetry and backscatter intensity maps of the seabed. Epibenthic community data and in situ observations of substrate composition and seafloor bedforms and features were obtained from towed underwater video. A comparison of top-down and bottom-up approaches to defining benthic habitats was used to improve understanding of the applicability of mapping methodologies. On a broad scale, both approaches produced habitat classes distinguished largely by geomorphic features, with substrate and depth identified as the main controls of benthic community composition, however, the relationship between benthic community composition and environmental characteristics is complex with many variables contributing to differences in community composition. The top-down approach was based on geomorphic units defined using abiotic characteristics and the assemblages identified within the geomorphic were very broad did not always show clear distinction between assemblages. Conversely, the bottom-up approach generated additional habitat classes, identified clear defining taxa for each class, greater distinction between the benthic communities, and allowed identification of additional environmental factors (i.e. sea ice cover) that influence benthic community distribution that are not discernible from geomorphic information alone. The habitat types identified and mapped using the bottom-up approach include shallow boulder fields and exposed bedrock which are dominated by dense macroalgae communities, and steep slopes, muddy basins and sandy plains which are dominated by invertebrate communities. The results indicate that a bottom-up approach is preferable for benthic habitat mapping, however, where detailed information is not available, geomorphic information provides a reasonable indication of the distribution of benthic habitats and communities. This study highlights the utility of multibeam sonar for interpretation of sea floor morphology and substrate and the multibeam data provide a physical framework for understanding benthic habitats and the distribution of benthic communities. This research provides the scientific context and spatial framework for managing the Vestfold Hills nearshore marine environment and provides a baseline for assessing environmental change.

This dataset summarises benthic habitat and fish surveys in West Cape York, including the West Cape York Marine Park (Commonwealth), southern Dugong Sanctuary, Angkamuthi and Kaurareg Sea Country into 2 GIS shapefiles. (1) A point (site) shapefile showing point location of 407 habitat survey sites. (2) A point (site) shapefile showing point location of BRUV (baited remote underwater video) deployments to survey fish at 42 sites. The full report is: Carter A, Groom R, Smith T, Shepherd L, van de Wetering C and Willan R (2023). Benthic habitats, fish and invertebrate communities of West Cape York Marine Park and surrounding waters. Centre for Tropical Water & Aquatic Ecosystem Research (TropWATER) Report Number 23/31, James Cook University, Cairns, pp.90 The West Cape York Marine Park (WCYMP), Queensland, is one of eight marine parks in the North Network of Australian Marine Parks. The eastern section of the WCYMP, southern part of the Torres Strait Dugong Sanctuary, and adjacent coastal waters were surveyed December 3‒16 2021, on board the MV Eclipse. The survey was a collaboration between researchers from TropWATER (James Cook University), Charles Darwin University/Australian Institute of Marine Science, Torres Strait Regional Authority, Kaurareg Native Title Aboriginal Corporation representing Kaurareg rangers and Traditional Owners, and Ipima Ikaya Aboriginal Corporation representing Angkamuthi and Gudang Yadhaykenu Traditional Owners. This work was undertaken for, and funded by, the Director of National Parks (Australian Government) and Torres Strait Regional Authority. The objectives of the survey were to: (1) Collaborate with Traditional Owners and Indigenous rangers to share knowledge and better understand sea country resources and inform management responses; (2) identify any changes/trends in the extent, health and diversity of seagrass meadows; (3) provide information to better understand the key pressures on the health of seagrass meadows and the culturally and socially significant species which they support; (4) record invertebrate diversity; (5) provide habitat maps for the survey area; and (6) conduct a pilot study of fish communities. The sampling methods used to survey benthic habitats were developed by TropWATER and are tailored to the location and habitat surveyed; these are described in detail in the relevant publications (https://research.jcu.edu.au/tropwater). Geographic Information System (GIS) All survey data were entered into a Geographic Information System (GIS) using ArcGIS 10.8. Two GIS layers were created to describe spatial features of the region: a habitat site layer and a fish site layer. Habitat site layer This layer contains information on the location and survey details for habitat assessment sites, and includes: 1. Temporal survey details – Survey date; 2. Spatial position - Latitude/longitude; 3. Survey location; 4. Site depth; 5. Survey method and vessel; 6. Vessel; 7. Data author and custodians. Fish site layer This layer contains information on the location and survey details for fish survey sites, and includes baited remote underwater video stations (BRUVS) at fish survey sites, and includes: 1. Temporal survey details – Survey date; 2. Spatial position - Latitude/longitude; 3. Survey location; 4. Site depth; 5. Survey method and vessel; 6. Vessel; 7. Data author and custodians. Base map The base map used is courtesy ESRI 2022. Format of the data This dataset consists of a 2 point layer packages with a geographic coordinate system of GDA2020: 1. West Cape York habitat sites 2021.lpk - Symbology representing point location of each habitat survey site 2. West Cape York fish sites 2021.lpk- Symbology representing point location of each fish survey site where baited remote underwater video stations (BRUVS) were deployed Data Dictionary West Cape York habitat sites 2021 (point data) LATITUDE (numeric) – Site location in decimal degrees south LONGITUDE (numeric) – Site location in decimal

Digitised habitat layers for the New South Wales continental shelf predominantly to 3NM. The shape file contains polygons of areas of 1) reef and 2) unconsolidated seafloor types as interpreted from a number of remote sensing methods predominantly mulitbeam, LIDAR (LADS) and Aerial Imagery obtained in surveys across 2005-2013.

This dataset summarises subtidal benthic surveys in Yanyuwa Sea Country into 3 GIS shapefiles. (1) A point (site) shapefile describes seagrass presence/absence at 849 subtidal sites surveyed by vessel. (2) The meadow shapefile describes attributes of 46 subtidal seagrass meadows. (3) The interpolation shapefile describes variation in subtidal seagrass biomass across the seagrass meadows. This project is a partnership between the li-Anthawirriyarra rangers, Charles Darwin University, James Cook University, and Mabunji Aboriginal Resource Indigenous Corporation to map the subtidal habitats of the Yanyuwa Indigenous Protected Area (IPA), an area of profound importance to the Marra and Yanyuwa people and to the marine ecosystem of the Gulf of Carpentaria. Benthic habitat maps of Yanyuwa Country were produced, with a focus on seagrass. This project was funded by the NT Government Aboriginal Ranger Grant Program. The sampling methods used to study, describe and monitor seagrass meadows were developed by TropWATER and tailored to the location and habitat surveyed; these are described in detail in the relevant publications (https://research.jcu.edu.au/tropwater). Geographic Information System (GIS) All survey data were entered into a Geographic Information System (GIS) using ArcGIS 10.8. Rectified colour satellite imagery of Yanyuwa Sea Country (Source: Allen Coral Atlas and ESRI), field notes and aerial photographs taken from the helicopter during surveys were used to identify geographical features, such as reef tops, channels and deep-water drop-offs, to assist in determining seagrass meadow boundaries. Three GIS layers were created to describe spatial features of the region: a site layer, seagrass meadow layer, and a seagrass biomass interpolation layer. Site layer This layer contains information on data collected at assessment sites. This layer includes: 1. Temporal survey details – Survey date; 2. Spatial position - Latitude/longitude; 3. Survey location; 4. Seagrass information including presence/absence of seagrass, above-ground biomass (total and for each species), percent cover of seagrass at each site; 5. Benthic macro-invertebrate information including the percent cover of hard coral, soft coral, sponges and other benthic macro invertebrates (e.g. ascidian, clam) at a site; 6. Algae information including percent cover of algae at a site and percent contribution of algae functional groups to algae cover at a site; 7. Open substrate – the percent cover of the site that had no flora or habitat forming benthic invertebrates present; 8. Dominant sediment type - Sediment type based on grain size visual assessment or deck descriptions. 9. Survey method and vessel; 10. Relevant comments and presence/absence of megafauna and animals of interest (dugong, turtle, dolphin); and 11. Data custodians. Seagrass meadow layer Seagrass presence/absence site data, mapping sites, field notes, and satellite imagery were used to construct meadow boundaries in ArcGIS®. The meadow (polygon) layer provides summary information for all sites within each seagrass meadow, including: 1. Temporal survey details – Survey month and year as individual columns and the survey date (the date range the survey took place); 2. Spatial survey details – Survey location, meadow identification number that identifies the reef name and the meadow number. This allows individual meadows to be compared among years; 3. Survey method; 4. Meadow depth for subtidal meadows; 5. Species presence – a list of the seagrass species in the meadow; 6. Meadow density – Seagrass meadows were classified as light, moderate, dense based on the mean biomass of the dominant species within the meadow. For example, a Thalassia hemprichii dominated meadow would be classed as “light” if the mean meadow biomass was <5 grams dry weight m-2 (g DW m-2), and “dense” if mean meadow biomass was >25 g DW m-2. 7. Meadow community type – Seagrass meadows were classified into community types according to

“Drop photo” sampling utilises still photography to capture a photo quadrat of benthic assemblages. Captured images are then analysed to provide information regarding the composition of benthic assemblages. Study areas include Abrolhos Islands, Jurien Bay, Rottnest Island, Capes / Geographe Bay, Broke Inlet, Mt. Gardner, Point Ann, Middle Island.

Point data collected from video drops identifying benthic habitats such as seagrass, macroalgae and reef, collected during field work in 2007 to 2011. Used to support the Benthic Habitat Mapping project undertaken by DENR to map the nearshore benthic habitats of South Australia.