AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI 2 - Kimberley Node - Project 1.1.3 - Ecological connectivity of Kimberley marine communities (ECU - AIMS)

The overarching objective is to infer the routine distances of dispersal and patterns of connectivity among key populations within the Kimberley. Nine sub-projects will address this objective. The data provided by these methods are complimentary, and each improves the others. The projects and objectives can be summarised as:
- Existing samples and desktop study
- Genetic analyses
- Coral stock-recruitment and larval durations
- Fish otolith microchemistry
Genotypes data have been generated from seven marine organisms:
1. Tectus niloticus - gastropod (CSIRO)
2. Pomacentrus milleri - fish (CSIRO)
3. Lutjanus carponotatus - fish (CSIRO)
4. Halophila ovalis - seagrass (ECU)
5. Thalassia hemprichii - seagrass (ECU)
6. Isopora brueggmanni - coral (AIMS)
7. Acropora aspera - coral (AIMS) 
There is a CSIRO metadata record that describes data for Tectus niloticus; Pomacentrus milleri and Lutjanus carponotatus (http://www.marlin.csiro.au/geonetwork/srv/eng/search#!0d389dab-d6e2-4895-ba09-389e689b565e)

Organization: Western Australian Marine Science Institution
WAMSI 2 - Kimberley Node - Project 2.2.1 Bio-physical Oceanography of the Kimberley

WAMSI Kimberley Research Projects 
The Western Australian Government has declared an intention to establish a number of MPAs in the Kimberley region to preserve and manage its unique biodiversity and conservation values. The WAMSI science plan for physical and biological oceanography in the Kimberley is focused on the southern designated MPA area (Camden Sound) to support physical and biogeochemical process model development. This metadata record describes observational data collected in support of the observational requirements for WAMSI KMRP Projects: 
2.2.1 - Physical oceanographic dynamics in the Kimberley 
2.2.2 -Pathways to Production : Biogeochemical Processes in the Kimberley Region 
2.2.6 - Terrestrial-Ocean Linkages: the role of rivers and estuaries in sustaining marine
 productivity in the Kimberley. 
Primary data sources are: 
Moored ADCPs
Moored Temperature salinity loggers 
Underway Thermosalinograph 
CTD casts 
The purpose of the data are to assist in quantifying key physical and biological oceanographic processes in nearshore waters of the coastal Kimberley under wet and dry season conditions to:
1. better define seasonal ranges in properties and rates in Collier Bay as a basis for identifying potential climate-related changes,
2. better define marine productivity and seasonal forcing processes 
3. acquire oceanographic and biogeochemical information necessary to develop system models. 
Detailed descriptions of science plans for each of the above listed projects is available from the project specific WAMSI II Science Project Plans.

Organization: Western Australian Marine Science Institution
Southwest Wetland Monitoring Program: Water Quality and Water Level Data (DBCA-077)

A total of 159 wetlands were monitored on and off between 1977 and 2019 as part of the Southwest Wetland Monitoring Program, by the Department of Biodiversity Conservation and Attractions (DBCA) and its predecessors. Details of the monitoring program and the results can be found in Lane et al., (2017) and references therein (J.A.K. Lane, A.G. Clarke &amp; Y.C. Winchcombe, 2017. South west wetlands monitoring program, 1977-2016. Department of Biodiversity Conservation and Attractions https://library.dbca.wa.gov.au/#record/142545).  The data consists of a table of wetland site information, a table of water level and water quality measurements and a file describing the tables columns.  

Tags: Monitoring, Water Quality, Water level, Wetland
Organization: Department of Biodiversity, Conservation and Attractions
WAMSI Node 1.1.2 - Spatial and Seasonal Variability in Microphytobenthos and Macroalgal Primary Productivity and Nutrient Dynamics

Despite the apparent importance of microphytobenthos and macroalgal populations as primary producers, primary productivity data and particularly data investigating the controls on primary productivity in WA shelf waters are sparse. We have investigated microphytobenthoc and macroalgal primary productivity in Marmion Lagoon by measuring oxygen evolution during a number of targeted incubations.

Organization: Western Australian Marine Science Institution
Tandem Drive Network 3.3 Bridges

RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode

Tags: HVS, RAV, Tandem Drive Concessional Lvl 3, Tandem Drive Networks
Organization: Main Roads Western Australia
Red Crab Migration Infrastructure - Crab Barriers – 2012

This layer shows the location of red crab barriers on Christmas. It was provided by to Geoscience by Christmas Island National Park staff in July 2012 as a shapefile.
The only changes made to the data were to move eight grid points to line up with the orthophotography.  For these edited points, the ‘x’ and ‘y’ fields were updated using the Field Calculator in Quantum GIS.  Attributes include; road name, fence name, type of infrastructure and x and y coordinates.
Positional accuracy is high as the layer was based on the 2011 orthophotography.  However, crab barrier placement may be subject to change.  This data has not been updated since 2012.
Disclaimer

Tags: Christmas, IOT, barrier, crossing, environment, environmental protection, infrastructure, roads
Organization: Department of Infrastructure, Transport, Cities and Regional Development
Floreat-f3 - Orthomosaic - Aug 2022

The second capture of the Floreat beach pipeline, these sand dunes were captured by UAV imagery on 24th Aug 2022 for the Cambridge Coastcare beach dune modelling and monitoring project. It was created as part of an initiative to innovatively monitor coastal dune erosion and visualize these changes over time for future management and mitigation. This data includes Orthomosaic, DSM, DTM, Elevation Contours, 3D Mesh, 3D Point Cloud and LiDAR constructed from over 500 images captured from UAV (drone) and processed in Pix4D. All datasets can be freely accessed through DataWA.
Link to Animated video fly-through of this 3D data model
Link to the Sketchfab visualisation of the 3D textured mesh
The dataset is a 2cm Orthomosaic (GeoTIFF &amp; JP2000) of the pipeline and surrounding dunes (2022 Flight-3 project area).

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, drift, drone, dune, erosion, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Floreat Beach 4 - Raster DSM GeoTIFF - Aug 2019

No description available.

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, drift, drone, dsm, dune, foreshore, habitat, management, marine, movements, photogrammetry, pointcloud, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
COVID-19 (coronavirus) Website

Western Australia is working closely with the Commonwealth and state and territory jurisdictional governments to respond appropriately to the coronavirus pandemic.
The Government of Western Australia has declared a State of Emergency and a Public Health Emergency (https://www.wa.gov.au/government/document-collections/covid-19-coronavirus-state-of-emergency-declarations) (external site) in response to COVID-19. Stay up to date on the measures being taken to protect the community and minimise potential impacts.

Tags: COVID-19, Corona, Corona Virus, coronavirus
Organization: Department of Health
Floreat Beach 1 -  Raster DTM GeoTIFF - Oct 2018

No description available.

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dtm, dune, foreshore, habitat, management, marine, movements, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Class 1 RAV Low Loader Overmass Category 3

RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode

Tags: HVS, RAV, Restricted Structures
Organization: Main Roads Western Australia
Floreat-f2 - LiDAR - Aug 2021

The first capture of the area North of the Floreat Surf Life Saving Club and the first using a LiDAR sensor (True View 410), these sand dunes were captured by UAV imagery on 17th Aug 2021 for the Cambridge Coastcare beach dune modelling and monitoring project. It was created as part of an initiative to innovatively monitor coastal dune erosion and visualize these changes over time for future management and mitigation. This data includes Orthomosaic, DSM, DTM, Elevation Contours, 3D Mesh, 3D Point Cloud and LiDAR constructed from over 500 images and LiDAR sensor captured from UAV (drone) and processed in Pix4D. All datasets can be freely accessed through DataWA.
Link to Animated video fly-through of this 3D data model
Link to the Sketchfab visualisation of the 3D textured mesh
This LiDAR dataset is a 3D point cloud (i.e. a 3D set of points in .LAS format): the X,Y,Z position and colour information is stored for each point of the point cloud of the Floreat dog beach (2021 Flight-2 project area).

Tags: LiDAR, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dune, foreshore, habitat, management, marine, movements, pointcloud, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Christmas Island Utilities – Fuel Lines

Utilities data were supplied to Geoscience Australia by Gutteridge Haskins &amp; Davey Pty Ltd (GHD) on 25th May 2001. Utilities data supplied included fuel related infrastructure. GHD compiled the utilities data from original CAD drawings collected over many years through management of island infrastructure by the Commonwealth Department of Administrative Services. The CAD drawings were converted into ESRI shapefiles by GHD.
In 2006 GHD updated several of the 2001 utilities shapefiles.
Utilities for the airport, which previously only contained data in the water supply layer, were received from the Indian Ocean Territories Administration (Department of Infrastructure, Regional Development and Cities) in January 2013. The new data was provided as dng cad file and included fuel lines, which was added to the relevant layers.
Data indicative only and not to be relied on. Data may not include most recent changes.
Disclaimer

Tags: Christmas, IOT, fuel, infrastructure, pipelines, topographic, utilities
Organization: Department of Infrastructure, Transport, Cities and Regional Development
Early Townsite of Carnarvon 1851

AU WA S235-cons3868 064 
Carnarvon 16C/3. Carnarvon Townsite - plan of suburban lots. T. Beasley. Amended A. H. Richter 1947 and W. S. C. Brockway 1948. Richter Fieldbook 85, Brockway Fieldbook 194 [scale: 40 chains to 1 inch].
[Further Information (State Records Office)]

Tags: early, historical, site, town
Organization: State Records Office of Western Australia
WAMSI Node 4.2.4 - Demersal fish assemblage sampling method comparison and power analyses - Summary

The principal goal of this research was to investigate the most efficient, cost-effective and meaningful way of describing the structure and biodiversity of seabed habitats along the coastline of WA. This study used existing data obtained from three regions (Ningaloo, Abrolhos and Capes) to compare techniques including comparing diver vs camera-based techniques for fish. 
The first study compared the assemblage composition, relative abundance and size of fishes sampled using baited video and diver swum transects at the Houtman Abrolhos Islands and Ningaloo. At both locations stereo BRUV recorded many more targeted fishes than stereo DOV and in greater relative abundance (e.g. Lethrinus nebulosus, Plectropomus leopardus). Many non-targeted species were also attracted to bait (e.g. Coris auricularis) and were recorded in greater abundances on stereo BRUV than stereo DOV. Stereo DOV transects recorded a greater abundance of some small-bodied Pomacentridae, Labridae and Scaridae species than did stereo BRUV, particularly at Ningaloo. This study demonstrates that choice of stereo-video sampling technique for surveys of reef fish can have a large impact on the structure of fish assemblages surveyed.
A link to the paper "Assessing reef fish assemblage structure: how do different stereo-video techniques compare?" by Dianne L. Watson, Euan S. Harvey, Ben M. Fitzpatrick, Timothy J. Langlois and George Shedrawi is given in a URL below (see online resource) and provides further details
The second study compares baited video stations with diver swum transects across three biogeographic regions, where both methods use stereo-video techniques to provide accurate estimates of individual fish length and define the sample unit area (Langlois et al. submitted). Cost-benefit analyses showed that baited stereo-video methods were generally more cost-efficient than diver operated stereo-video transects for detecting change in the fish assemblage. The study suggests that baited stereo-video stations are, in general, a better method for monitoring fish communities than diver operated stereo-video transects.
A link to the paper "Cost efficient sampling of fish assemblages: comparison of baited video stations and diver video transects" by T.J. Langlois, E. S. Harvey, B. Fitzpatrick, J. J. Meeuwig, G. Shedrawi,
and D. L. Watson is given in a URL below (see online resource) and provides further details.
**Langlois, T. J., E. S. Harvey, B. Fitzpatrick, J. J. Meeuwig, G. Shedrawi, and D. L. Watson. 2010. Cost efficient sampling of fish assemblages: comparison of baited video stations and diver video transects. Aquatic Biology 9:155-168.
**Watson, D. L., E. S. Harvey, B. Fitzpatrick, T. J. Langlois, and G. Shedrawi. 2010. Assessing reef fish assemblage structure: how do different stereo-video techniques compare? Marine Biology 157:1237-1250.

Organization: Western Australian Marine Science Institution
WAMSI 2 - Dredging Node - 3.2.1 - Plume Characteristics (Field) - Field Trip 2

3D plume mapping was conducted over a 10 day period at Chevron’s Wheatstone dredging operation near Onslow Western Australia.  Dredge plums created by a cutter suction dredge were sampled from CSIRO vessel RV Linnaeus on voyage number LI2014_v11. Underway measurements were made using a ship mounted ADCP to measure vertical velocity profiles and backscatter intensity and DALEC that measured the spectral qualities of incoming and reflected sea surface light. Profile data were collected using LISST (particle size distributions)  , CTD (backscatter, temperature and salinity), Hydroscat, Hydrorad (used measure light profiles, extinction coefficients , and scattering properties). Surface and bottom water samples were be collected at selected sites and analyzed  for particle size distributions
A mooring was deployed for 8 days in 8 metres of water. The mooring consisted of two Acoustic Doppler Velocimeters (ADVs) and an ADCP

Organization: Western Australian Marine Science Institution
WAMSI 2 - Dredging Node - Theme 2 Project 3.4 Development of a Numerical Dredging Model

In Western Australia (WA), the Environmental Impact Assessment process requires dredging proponents to make scientifically sound predictions of the likely extent, severity, and persistence of environmental impacts of the proposed activity under a spatially defined zoning pattern. This is achieved by using coupled hydrodynamic, wave and sediment transport models in conjunction with water quality (ecological) thresholds for sensitive receptors such as corals, filter feeders, or seagrasses/macroalgae. These predictions guide the scale and scope of associated monitoring programs, providing assistance to proponents as to where to establish environmental monitoring and reference sites. Increasingly, modelling is also being used by dredging programs to forecast a few days in advance, so as to understand the potential consequence of various dredging scenarios and optimize the dredging programs to minimize environmental damage. 
The overall objective of Project 2/3.4 was to improve the predictive capabilities of sediment dispersion modelling that incorporate dynamic plume and passive plume processes through assessing model sensitivity to key forcing and parameter values, such as met-ocean condition, particle settling velocity distribution, critical shear stress, sediment erosion and deposition, provide frequency and duration of biological stressor fields including suspended sediment concentration, sediment accretion and erosion, and available light; and provide guidance on developing best practice algorithms and parametrizations for dredge plume modelling. 
Based on the outcome Project 2/3.1, an appropriate modelling suite that includes hydrodynamics, waves, and sediment transport was chosen (Delft3D) to model the far-field passive plume. The model was set up and validated using the bathymetry and baseline data collected as part of the Chevron Australia Wheatstone Project, located near Onslow, Western Australia.
The model outputs were assessed against monitoring data from Chevron Australia's Wheatstone Dredging program, including, remote sensing and in-situ data collected in Project 2/3.2. A 20 month hindcast of passive plume dispersal from the dredging project to the furthest extent of the passive plume were compared with the field data and MODIS images (where available). Spatial and temporal variability of plume dispersal under different forcing scenarios and sediment release rates were investigated and reported.
This metadata record provides a description of the model input data (and where appropriate its location) and a short description of the software and model set-up. The simulation data files are located in the CSIRO DAP.

Organization: Western Australian Marine Science Institution
AACC Regions LGA Concordance

List of Local Government Areas (LGAs) and which AACC Region they fit into. 
Since the AACC Data Warehouse Regions are based on ABS Statistical Areas 2 (SA2) they DO NOT match exactly to LGAs, (although they do match exactly to most of them). 
Population data (2011) is also included per LGA. 
LGA and population data has been sourced from the Australian Bureau of Statistics (ABS). 

Tags: Aboriginal, LGA, boundaries, population
Organization: Aboriginal Affairs Coordinating Committee
Floreat-f4 - Orthomosaic - Aug 2022

The sixth capture of the Floreat dog beach, these sand dunes were captured by UAV imagery on 24th Aug 2022 for the Cambridge Coastcare beach dune modelling and monitoring project. It was created as part of an initiative to innovatively monitor coastal dune erosion and visualize these changes over time for future management and mitigation. This data includes Orthomosaic, DSM, DTM, Elevation Contours, 3D Mesh, 3D Point Cloud and LiDAR constructed from over 500 images captured from UAV (drone) and processed in Pix4D. All datasets can be freely accessed through DataWA.
Link to Animated video fly-through of this 3D data model
Link to the Sketchfab visualisation of the 3D textured mesh
The dataset is a 2cm Orthomosaic (GeoTIFF &amp; JP2000) of the Floreat dog beach (2022 Flight-4 project area).

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, drift, drone, dune, erosion, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
PBS Tandem Drive Network 3B.3 Without Conditions

RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode

Tags: HVS, PBS Tandem Drive Lvl 3, PBS Tandem Drive Networks, RAV
Organization: Main Roads Western Australia