Recent datasets
This dataset consists of two data files (spreadsheets) from a 15 days experiment simulating the combined effects of climate change (manipulated temperature and pCO2 from present days and predicted for 2050 and 2100) and diuron contamination. Photosynthetic parameters were used to evaluate the physiological responses of Halimeda opuntia.
The aim of this study was to investigate the effects of the herbicide diuron and climate change on the Photosystem II activity of the seagrass Halophila ovalis. The 3 climate conditions were: ambient (28.5 °C, 398 µatm), 2050 (29.5 °C, 682 µatm) and 2100 (30.5 °C, 873 µatm). This dataset consists of one data file (spreadsheet) from a 2-week experiment, containing 5 diuron concentrations and 3 climate change scenarios. Each tab contains photosynthetic yield data at each time point: 0 d, 2 d, 7 d and 14 d under each of the diuron and climate change treatments.
This dataset consists of three data folders for the eye-tracking experiment conducted within the NESP 3.2.3 project (Tropical Water Quality Hub): Folder (1) The folder of Eye-tracking videos contains 66 Tobii recordings of participants’ eye movements on screen, Folder (2) The Heatmaps folder includes 21 heatmaps created by Tobii eye-tracking software on the basis of 66 participants’ data and Folder (3) The input folder has 21 original pictures used in eye-tracking experiment.
This dataset contains the caffe deep-learning framework along with the setup for image aesthetic train and test code for the Algorithm data. We used NVIDIA-digit 6 environment and this version use caffe 0.15.14 More details information can be found in http://caffe.berkeleyvision.org.
This dataset consists of three data folders including all related documents of the online survey conducted within the NESP 3.2.3 project (Tropical Water Quality Hub) and a survey format document representing how the survey was designed. Apart from participants’ demographic information, the survey consists of three sections: conjoint analysis, picture rating and open question. Correspondent outcome of these three sections are downloaded from Qualtrics website and used for three different data analysis processes.
This dataset shows the effects of herbicides (detected in the Great Barrier Reef catchments) on the growth rates (from cell density data) and photosynthesis (effective quantum yield) on the microalgae Chaetoceros muelleri during laboratory experiments conducted from 2018-2019.
This dataset shows the effects of herbicides (detected in the Great Barrier Reef catchments) on the growth rates (from frond number and surface area) and photosynthesis (effective quantum yield) on the duckweed Lemna aequinoctialis during laboratory experiments conducted from 2017-2019.
This dataset shows the effects of herbicides (detected in the Great Barrier Reef catchments) on the growth rates (from cell density data) and photosynthesis (effective quantum yield) on the microalgae Rhodomonas salina during laboratory experiments conducted from 2018-2019.
This dataset shows the effects of herbicides (detected in the Great Barrier Reef catchments) on growth rates (from surface area and biomass) and photosynthesis (effective quantum yield) on the aquatic fern Azolla pinnata during laboratory experiments conducted in 2019.
This dataset shows the effects of of the insecticide imidacloprid and the fungicide propiconazole on larval development of the acorn barnacle Amphibalanus amphitrite experiments conducted in 2018 and 2019.
This dataset shows the effects of herbicides (detected in the Great Barrier Reef catchments) on the growth rates (from cell density data) and photosynthesis (effective quantum yield) on the green algae Raphidocelis subcapitata during laboratory experiments conducted during 2019.
This dataset shows the effects of hexazinone (detected in the Great Barrier Reef catchments) on growth (as bell surface area), photosynthesis (effective quantum yield), zooxanthellae density (cells mm-2) and statolith number on the upside-down jellyfish Cassiopea maremetens during laboratory experiments conducted in 2017.
This dataset shows the effects of imazapic (detected in the Great Barrier Reef catchments) on the growth rate (from cell density data) on the cyanobacteria Microcystis aeruginosa over a 72 hour exposure period during laboratory experiments conducted in 2019.
This dataset contains benthic photosynthetically active radiation (PAR; bPAR) at the Q-IMOS Myrmidon, Palm Passage and Heron Island South mooring stations from May 2016 through to November 2017.
This dataset shows the effects of three insecticides (diazinon, fipronil, imidacloprid) and two fungicides (chlorothalonil, propiconazole) on larval metamorphosis in the coral Acropora tenuis. These five pesticides have been detected in the Great Barrier Reef lagoon and/or catchments. Settlement assays were conducted in Nov-Dec 2016 and Nov 2017.
This dataset shows the effects of herbicides (detected in the Great Barrier Reef catchments) on the growth rates (from cell density data) and photosynthesis (effective quantum yield) on the free-living form of the dinoflagellate coral symbiont Cladocopium goreaui during laboratory experiments conducted from 2017-2019.
This dataset summarises daily integrals of photosynthetically active radiation (PAR) at six sites in Cleveland Bay from March 2017 to October 2018. PAR was measured every 15 minutes (as µmol m-2 s-1), and converted to daily light integrals (mol m-2 d-1).
This dataset provides the results of U-Th dating of coral samples obtained from reef matrix percussion cores and death assemblages from Mazie Bay, North Keppel Island, Southern Great Barrier Reef. Data is presented for 117 coral samples ranging in age from 6900 years before present (yr.BP) to modern.
This generated data set contains basic statistical products derived from the eReefs CSIRO hydrodynamic model v2.0 (https://research.csiro.au/ereefs) outputs at both 1km and 4km resolution, generated by the AIMS eReefs Platform (https://ereefs.aims.gov.au/ereefs-aims).
This generated data set contains exposure products derived from the eReefs CSIRO hydrodynamic model v2.0 (https://research.csiro.au/ereefs) outputs at both 1km and 4km resolution, generated by the AIMS eReefs Platform (https://ereefs.aims.gov.au/ereefs-aims).