Recent datasets

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 Chlorella sp. during laboratory experiments conducted from 2017-2019. The aims of this project were to develop and apply standard ecotoxicology protocols to determine the effects of Photosystem II (PSII) and alternative herbicides on the growth and photosynthetic efficiency of the microalgae Chlorella sp.

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. The aims of this project were to develop and apply standard ecotoxicology protocols to determine the effects of Photosystem II (PSII) and alternative herbicides on the growth and photosynthetic efficiency of the aquatic fern Azolla pinnata.

This dataset consists of shapefiles that correspond to the model grids used in the CSIRO eReefs hydrodynamic and biogeochemical models. These models store their results in multi-dimensional NetCDF files using a curvilinear grid. This dataset corresponds to an extract from these files converting the curvilinear grid into polygons in a shapefile. This dataset only captures the structure of the grid, not the time series data generated by the model.

This dataset consists of 1 excel data files (.xlsx format) that contains the results from the in situ deployment of instruments in Cleveland Bay to measure sediment deposition from a trailer suction hopper dredge working in Platypus channel. The aim of the study was to measure sediment deposition rates caused by a working Trailer Suction Hopper dredge in Platypus channel in Cleveland Bay. Methods: Two deposition sensors were deployed on the seabed 100 m (-19.226083° 146.843500°) away from the edge of the Platypus channel in Cleveland Bay near marker beacon P11 at a depth of 5–8 m.

This dataset consists of one data file (spreadsheet) from a 28-d experiment examining sediment-induced changes in the spectral quality and quantity of light on three coral species (Acropora millepora, Pocillopora verrucosa and Montipora aequituberculata) and one encrusting sponge species (Cliona orientalis). The aim of the study was to use ecologically relevant turbidity and light profiles obtained from field-based data to test the effects of sediment induced spectral shifts and quantities of light on corals and sponges.

This data contains consists of one Excel spreadsheet file containing the thermal stress data used to develop the Species Sensitivity Distribution described in the publication: Negri, A.P., Smith, R.A., King, O., Frangos, J., Warne, M. St-J., Uthicke, S. (2019) Adjusting tropical marine water quality guideline values for elevated ocean temperatures Environmental Science and Technology 54: 1102-1110 DOI: 10.1021/acs.est.9b05961. The increased frequency of heatwaves and poor water quality represent two of the most prevalent and severe pressures faced by coral reefs globally.

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 two folders which are related to automatic aesthetic rating of images using Deep Learning. . GBR-Aesthetics-Data: This folder contains few sub folders. 1. data-images: - 2500 images used to survey the score.

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 collection contains A0 maps of the Keppel Island region based on satellite imagery and fine-scale habitat mapping of the islands and marine environment. This collection provides the source satellite imagery used to produce these maps and the habitat mapping data. The imagery used to produce these maps was developed by blending high-resolution imagery (1 m) from ArcGIS Online with a clear-sky composite derived from Sentinel 2 imagery (10 m).

The aim of the study was to obtain light and turbidity vertical profile data through the water column in Cleveland Bay over a four-day period and during maintenance dredging to use for developing an empirical spectral solar irradiance model. This dataset consists of 95 data files (spreadsheets). One file (.xlsx format) contains the spectral attenuation coefficient for downwelling light, Kd (lambda), for the 94 different vertical profiles taken within Cleveland Bay.

This dataset shows larval connectivities between reefs that exceeded, and did not exceed, thermal thresholds for damage during the 2016/2017 Great Barrier Reef bleaching events. The loss of reproductive adult colonies during bleaching events has the implication that coral cover recovery will require the supply of coral larvae from external sources (other reefs).

This dataset contains RTK GPS Data collected between April, 2017 and March, 2018 for 5 paired Control/Treatment gully sites being monitored as part of NESP Project 2.1.4 (Demonstration and evaluation of gully remediation on downstream water quality and agricultural production in GBR rangelands). The key question being asked is “is there measurable improvement in the erosion and water quality leaving remediated gully sites compared to sites left untreated?” The monitoring approach uses a modified BACI (Before after control impact) design.

Conservation and repair of the coastal wetland ecosystems’ in the Great Barrier Reef catchments have come into focus following media converging on the point that the reef health and land use in catchments has been compromised. While on-ground wetland repair investment activities are underway, data to demonstrate water quality and biodiversity return for the investment is not available.

This dataset contains Riegl terrestrial laser scanner scans and their derived 5 cm gridded digital elevation models (DEMs) collected for up to 4 years between 2016 and 2019 for 4 paired Control/Treatment gully sites being monitored as part of NESP Project 2.1.4. Data collection also contains the DEMs of difference used to estimate changes in gully volume. The data in presented in this metadata are part of a larger collection and are intended to be viewed in the context of the project.

This dataset contains preliminary estimates of discharge and loads (Total suspended sediment and total nitrogen) based on monitoring data collected for the NESP Project 2.1.4 Demonstration and evaluation of gully remediation on downstream water quality and agricultural production in GBR rangelands. The data in presented in this metadata are part of a larger collection and are intended to be viewed in the context of the project.

An updated version of this dataset is available at https://eatlas.org.au/data/u...f68040c85 Key Gully monitoring localities (headcuts and monitoring instrumentation) and outlines of the properties within which they are located. The data in presented in this metadata are part of a larger collection and are intended to be viewed in the context of the project.

This dataset contains Water Quality monitoring data collected at the project gully sites for the three reporting wet seasons 2016-2017, 2017-2018 and 2018-2019. The data in presented in this metadata are part of a larger collection and are intended to be viewed in the context of the project. For further information on the project, view the parent metadata record: Demonstration and evaluation of gully remediation on downstream water quality and agricultural production in GBR rangelands (NESP TWQ 2.1.4, CSIRO). Monitoring of these sites is continuing as part of NESP TWQ Project 5.9.

This dataset contains Vegetation and Biomass monitoring data collected for the NESP Project 2.1.4 (Demonstration and evaluation of gully remediation on downstream water quality and agricultural production in GBR rangelands). The aim of the vegetation monitoring in relation to this project is to track change in biomass and species composition over time on hillslope areas above gully erosion within control and treatment sites (treatments vary), linking to changes in downstream water quality.

Five paired Control/Treatment gully sites on commercial grazing properties in the Upper Burdekin and Bowen catchments are being monitored as part of NESP Project 2.1.4 (Demonstration and evaluation of gully remediation on downstream water quality and agricultural production in GBR rangelands) (Bartley et al., 2018). The key question being asked is: "Is there measurable improvement in the erosion and water quality leaving remediated gully sites compared to sites left untreated?" The monitoring approach uses a modified BACI (Before after control impact) design.