This dataset contains data collected by the Australian Continuous Plankton Recorder (AusCPR) survey and is funded by IMOS (Ships of Opportunity sub-facility) and CSIRO. The aims of the AusCPR survey are to: * map plankton biodiversity and distribution * develop the first long-term plankton baseline for Australian waters * document plankton changes in response to climate change * provide indices for fisheries management * detect harmful algal blooms * validate satellite remote sensing * initialise and test ecosystem models. The survey conducts repeat tows in the GBR, the East Australian Current and down to the Southern Ocean Time Series Mooring (SOTS). Other routes are conducted on an adhoc nature around Australia. The dataset also contains phytoplankton data from the UTAS / AAD led Southern Ocean CPR (SOCPR) project which is also funded by IMOS. The datasets available in this collection include Phytoplankton Colour Index (an estimate of chlorophyll in the water), phytoplankton abundance, zooplankton abundance and a biomass index from AusCPR and phytoplankton abundance from SOCPR. This data are freely available through the AODN portal: https://portal.aodn.org.au. This data is freely available but please acknowledge all relevant parties, as detailed in acknowledgement section.

This dataset contains the results from surveys of epiphyte fauna from 3 sites along the Perth metropolitan coastline, Western Australia. Samples from Warnbro, Shoalwater and Marmion were collected in September 1993. All sites had the seagrasses Posidonia sinuosa and Amphibolis griffithii within 10 m of each other, and in depths of between 3 m and 6 m. At each site the species abundance and biomass of grazers and epifaunal groups, particularly molluscs and crustaceans were determined. This was to assess their suitability as indicator species in monitoring programs.

Algal biomass in the Perth region were identified from quadrat surveys , as part of the SRFME research program. The aim of the SRFME Coastal project is to characterize the coastal benthic ecosystems of southwestern WA, with particular focus on benthic reef cosystems, their productivity and dynamics, and the physical, chemical and biological factors driving variability along dominant spatial and temporal scales. To achieve this, we undertook 3-monthly seasonal sampling from 2003 - 2005 at a series of coastal sites situated between Cape Naturaliste in the south and Jurien Bay in the north. Benthic Sampling was integrated with satellite observations of SST, ocean colour and subsurface measurements of other water column properties, as well as sediment biogeochemical sampling. Within this region benthic sampling was nested at Regional (100s km) Local (10s km) and Site (1 km) scales and within each of the regions additional sites were sampled to incorporate site scale variability along cross-shore gradients.

Algal biomass in the Rottnest Island region were identified from quadrat surveys , as part of the SRFME research program. The aim of the SRFME Coastal project is to characterize the coastal benthic ecosystems of southwestern WA, with particular focus on benthic reef cosystems, their productivity and dynamics, and the physical, chemical and biological factors driving variability along dominant spatial and temporal scales. To achieve this, we undertook 3-monthly seasonal sampling from 2003 - 2005 at a series of coastal sites situated between Cape Naturaliste in the south and Jurien Bay in the north. Benthic Sampling was integrated with satellite observations of SST, ocean colour and subsurface measurements of other water column properties, as well as sediment biogeochemical sampling. Within this region benthic sampling was nested at Regional (100s km) Local (10s km) and Site (1 km) scales and within each of the regions additional sites were sampled to incorporate site scale variability along cross-shore gradients.

Algal biomass in the Jurien Bay region were identified from quadrat surveys as part of the SRFME research program. The aim of the SRFME Coastal project is to characterize the coastal benthic ecosystems of southwestern WA, with particular focus on benthic reef cosystems, their productivity and dynamics, and the physical, chemical and biological factors driving variability along dominant spatial and temporal scales. To achieve this, we undertook 3-monthly seasonal sampling from 2003 - 2005 at a series of coastal sites situated between Cape Naturaliste in the south and Jurien Bay in the north. Benthic Sampling was integrated with satellite observations of SST, ocean colour and subsurface measurements of other water column properties, as well as sediment biogeochemical sampling. Within this region benthic sampling was nested at Regional (100s km) Local (10s km) and Site (1 km) scales and within each of the regions additional sites were sampled to incorporate site scale variability along cross-shore gradients.

Algal biomass in the Geographe Bay region were identified from quadrat surveys on Cape Naturaliste and Cape Leauwin reefs, as part of the SRFME research program. The aim of the SRFME Coastal project is to characterize the coastal benthic ecosystems of southwestern WA, with particular focus on benthic reef cosystems, their productivity and dynamics, and the physical, chemical and biological factors driving variability along dominant spatial and temporal scales. To achieve this, we undertook 3-monthly seasonal sampling from 2003 - 2005 at a series of coastal sites situated between Cape Naturaliste in the south and Jurien Bay in the north. Benthic Sampling was integrated with satellite observations of SST, ocean colour and subsurface measurements of other water column properties, as well as sediment biogeochemical sampling. Within this region benthic sampling was nested at Regional (100s km) Local (10s km) and Site (1 km) scales and within each of the regions additional sites were sampled to incorporate site scale variability along cross-shore gradients.

This dataset provides the location of diving sites for quadrat surveys as part of the SRFME research program. The data set is a shape file viewable using the DIVE visualization tool, http://software.cmar.csiro.au/www/en/software/dive.html.