AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI 2 - Kimberley Node - Project 1.2.1a - Modelling the movement and spatial distribution of humpback whales in the nearshore waters of the Kimberley, Western Australia

Modeling the movement and spatial distribution of humpback whales in the Nearshore waters of the Kimberley. This project will directly address this need by collating and synthesising all existing data on distribution, abundance and movement patterns of humpback whales and associated environmental data collected across the north-west and in the Kimberley. Using state-of-the-art analytical approaches to characterise and understand the movement behaviour of humpback whales and the environmental context in which they occur. 
The purpose of this project will be to compile and analyse existing humpback whale survey data and tracking data to understand the distribution, abundance and movement patterns of humpback whales in relation to environmental features. Additionally, identify information gaps and fill them with a targeted field research program and ultimately provide advice for future monitoring and management 
Existing whale data will be collated and combined into an excel spread sheet. ESRI GIS shapefiles will be created for the spatial modelling component of this project.

Organization: Western Australian Marine Science Institution
3 Axle All Terrain Special Purpose Vehicle

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
WAMSI Kimberley tri-colour scanner data - 22nd September 2008

On the 22nd of September 2008 a tricolour scanner (Airborne Research Australia/AWI Airborne Tri-spectral Scanner System) collected data from part of the Kimberley (Coulomb Point, Quondong Point and Gourdon Bay).  The bands collected were red, green, near infra-red (NIR) (wavelengths ~450nm to ~825nm)
Flight lines are shown in the thumbnail above.  Further information is available through the contacts below.

Organization: Western Australian Marine Science Institution
Floreat-f1 - 3D Textured Mesh OBJ - Aug 2022

The second capture of the area surrounding the Floreat Surf Life Saving Club, 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 3D Textured Mesh (zipped OBJ format) of the Floreat SLSC and South Floreat carpark (2022 Flight-1 project area).

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dtm, dune, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
WAMSI Node 4.3.1b - Trophic interactions in selected south-western Australian estuaries - PhD

This study is aimed at identifying the key primary producers, which support abundant fish species with different feeding modes, in a permanently-open (Swan-Canning) and a seasonally-closed (Wilson Inlet) estuary in south-western Australia. 
The species studied were the sparid Acanthopagrus butcheri (omnivore), the atherinid Leptatherina wallacei (pelagic feeder) and the gobiid Pseudogobius olorum (benthivore). 
Three complementary, quantitative approaches were used:
1) Stomach content analyses to determine the dietary compositions of the above three species and how they vary with body-size and season;
2) Stable isotope ratios of C13/C12 and N15/N14 for fish and their prey; and
3) Fatty acid biomarkers in fish and dietary items. 
Stomach content data demonstrated that size-related changes in diet were evident and that dietary compositions of each species differed among estuaries. Stable isotope ratios of N15/N14 showed that the food web in each estuary contained three trophic levels, while the C13/C12 ratio enabled differentiation of the food chains based on detrital material and plankton. Fatty acid data revealed trophic markers for dinoflagellates in A. butcheri and L. wallacei and for diatoms in P. olorum. 
These findings suggest that:
1) the food resources are partitioned within and among species, 
2) the dietary compositions differ between estuaries and 
3) different sources of organic material support pelagic and benthic food chains

Organization: Western Australian Marine Science Institution
Floreat-f2 - 3D Textured Mesh OBJ - Aug 2021

The first capture of the area North of the Floreat Surf Life Saving Club, 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 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 3D Textured Mesh (zipped OBJ format) of the area North of Floreat SLSC (2021 Flight-2 project area).

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dune, erosion, foreshore, habitat, management, marine, mesh, movements, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Christmas Island Water Resources - Basal Aquifer - Brackish

Water resources data for Christmas Island were assembled as part of ongoing groundwater investigations and monitoring undertaken on Christmas Island during the period from October 1996 to June 1999. 
Brackish basil aquifer data indicates the approximate boundary of the basal aquifer with brackish or saline water, on Christmas Island.
Accuracy: The estimated extent of the boundary is based on information from salinity monitoring boreholes and some estimation based on knowledge of freshwater aquifer behaviour on the island.
The boundaries are somewhat subjective and are in fact not fixed, as they will move according to wet and dry periods. Hence it is difficult to generate an accuracy estimate. It could be said that the brackish or saline basal aquifer boundary would normally be within 30m of the boundary shown, but
this could be greater during very dry or very wet periods
Layers were supplied as ESRI shapefiles in CIG85 projection.   In September 2003, Geoscience Australia projected these shapefiles into the MGA (GDA94) projection using an XY (X=550015, Y=8780001) shift. 
Disclaimer

Tags: Christmas, IOT, groundwater, topographic, water, water resource
Organization: Department of Infrastructure, Transport, Cities and Regional Development
WAMSI 2 - Kimberley Node - 1.2.3 - Distribution, abundance, critical habitat and population growth rates of saltwater crocodile populations in the Kimberley region

This project aims to:

To count saltwater crocodiles in the Kimberley region;
To survey Kimberley waters that have never been surveyed for crocodiles e.g. Drysdale River and Walcott Inlet
To calculate population growth rates in river systems that have been surveyed previously 
Study geographical variation in abundance and population growth rate between rivers systems
To identify critical habitat for saltwater crocodiles in the Kimberley region

Locations for the study include:
•   King Edward
•   Drysdale
•   Walcott Inlet
•   May (Stokes Bay)
Data stored at ESRI shapefile

Organization: Western Australian Marine Science Institution
Christmas Island Water Resources - Zone of very high vulnerability - outline

Water resources data for Christmas Island were assembled as part of ongoing groundwater investigations and monitoring undertaken on Christmas Island during the period from October 1996 to June 1999. 
The shapefile ‘vh_vuln_line.shp’ contains line data indicating the approximate boundary of the freshwater aquifer that is of very high risk of contamination and over extraction.
Accuracy: The estimated extent of the boundary is based on information from salinity monitoring boreholes and some estimation based on knowledge of freshwater aquifer behavior on the island. The boundaries are somewhat subjective and are in fact not fixed, as they will move according to wet and dry periods. Hence it is difficult to generate an accuracy estimate. It could be said that the very high vulnerability boundary would normally be within 30m of the boundary shown, but this could be greater during very dry or very wet periods
Layers were supplied as ESRI shapefiles in CIG85 projection. In September 2003, Geoscience Australia projected these shapefiles into the MGA (GDA94) projection using an XY (X=550015, Y=8780001) shift.
Disclaimer

Tags: Christmas, IOT, groundwater, topographic, water, water resource
Organization: Department of Infrastructure, Transport, Cities and Regional Development
WAMSI Node 4.2.2b - Establishment of metropolitan fish indicator regions

Vital baseline information on the demersal fish assemblages within the metropolitan area was collected used baited-video stations. The sampling was directed using the knowledge of experienced fishermen, and researchers from the Department of Fisheries and UWA. Recent changes to legislation, banning commercial wetline fishing in the Metropolitan area, have provided an important natural laboratory with which to assess the impacts of fishing on the assemblage of demersal fish.
From 5th October 2008 to 12th October 2008 stereo-baited remote underwater video (stereo BRUV) systems were used to sample these areas shown in green in the thumbnail (around Two Rocks).  It provides a multi-species measure of the state of the fish community, including length measurements of the fish observed. This data will form an important baseline with which to assess any changes in the community and to investigate whether they are due to changes in fishing pressure or other impacts, such as climate change.

Organization: Western Australian Marine Science Institution
Floreat-f2 - Sparse Point Cloud LAS - Aug 2021

The first capture of the area North of the Floreat Surf Life Saving Club, 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 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 Sparse 3D Point Cloud (i.e. a 3D set of points): the X,Y,Z position and colour information is stored for each point of the point cloud. This dataset is of the area North of Floreat SLSC (2021 Flight-2 project area).

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, drift, drone, dune, foreshore, habitat, management, marine, movements, photogrammetry, pointcloud, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Christmas Island Utilities – Fuel Points

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.
The fuel points shapefile (fuel_points.shp) shows isolation valves and ‘caution pipeline below’ signposts.
Data indicative only and not to be relied on. Data may not include most recent changes.
Disclaimer

Tags: Christmas, IOT, fuel, infrastructure, topographic, utilities
Organization: Department of Infrastructure, Transport, Cities and Regional Development
Floreat-f1 - Point Cloud LAS - Aug 2022

The second capture of the area surrounding the Floreat Surf Life Saving Club, 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 Sparse 3D Point Cloud (i.e. a 3D set of points): the X,Y,Z position and colour information is stored for each point of the point cloud. This dataset is of the Floreat SLSC and South Floreat carpark (2022 Flight-1 project area).

Tags: 3d mesh, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dtm, dune, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
WAMSI 2 Kimberley Node: Project 1.2.5 Integrating Indigenous knowledge and survey techniques to develop a baseline for dugong (Dugong dugon) management in the Kimberely

Dugongs (Dugong dugon) are listed as vulnerable on the IUCN Red List of Threatened species and as other specially protected fauna in WA under Schedule 7 of the Wildlife Conservation (Specially Protected Fauna) Notice 2015). Gaps in our knowledge in Western Australia include having a good understanding of the species’ distribution, abundance and high use areas across the northwest.
This 3-year project (2014-2017) integrated Indigenous knowledge and scientific observations from field surveys to better understand the distribution, abundance and movements of dugong in the Kimberley region. The data collected also provides a baseline for future monitoring and management.
This medata record relates to raw and processed aerial survey data of marine fauna collected between 21st September 2015 and 8th October 2015 in Kimberley coastal waters to the 20m bathymetry line, comprising dugongs (Dugong dugon), Australian snubfin dolphins (Orcaella heinsohni), other dolphins (bottlenose, spinners, false killer whales), humpback whales (Megaptera novaeangliae) and large, mostly green turtles (Chelonia mydas). 
The WA Department of Biodiversity Conservation and Attractions (DBCA, ex-DPaW) and CSIRO provided additional resources to extend the North Kimberley dugong aerial survey boundary westwards (Broome to just past Port Hedland) to cover the South Kimberley-Pilbara coastal regions, to close the last remaining knowledge gap of the dugong distribution and abundance in Australia. This additional survey was completed in May 2017.
Data from a trial movement study undertaken between 1-18th August 2016 also forms part of this metadata record. Five dugongs were tagged with Telonics manatee/dugong tags. GPS and ARGOS satellite detection locations and dive data were downloaded weekly from the ARGOS web site.

Organization: Western Australian Marine Science Institution
Floreat-f2 - Point Cloud LAS - Aug 2022

The second capture of the area North of the Floreat Surf Life Saving Club, 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 Sparse 3D Point Cloud (i.e. a 3D set of points): the X,Y,Z position and colour information is stored for each point of the point cloud. This dataset is of the area North of Floreat SLSC (2022 Flight-2 project area).

Tags: 3d mesh, 3d point cloud, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dtm, dune, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
WAMSI Node 4.4.1 - Assessment and monitoring for bycatch composition and abundance

Through reviewing available fisheries data sets, reports, logbooks and CAES (Catch And Effort Statistics) 3836 bycatch records were identified and are available as a comma-separated value (CSV) file. Bycatch is defined as discards only, and does not include by-product which is kept by fishers and sold. 
Within WAMSI Node 4.4.1 the following work was undertaken:
i) Determine the cumulative effect of fisheries on bycatch species, including Threatened, Endangered and Protected species (TEPs), discarded undersize target species, and all other discarded species in the Gascoyne and the West Coast Bioregions; 
ii) Establish a risk analysis of interaction rates between the collective fisheries and bycatch to identify which species, species groups or fisheries require more detailed assessment; and
iii) Identify better ways to quantify fishery - bycatch interactions and therefore increase our ability to understand the risks to particular species or groups within a range of fisheries.

Organization: Western Australian Marine Science Institution
Floreat-f3 - Contour lines SHP - 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 DTM Elevation Contour shapefile of the Floreat pipeline and surrounding dunes (2022 Flight-3 project area). Contours are taken from MSL (AHD) at 1 metre elevation intervals.

Tags: 3d mesh, DSM, DTM, LiDAR, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dune, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Historic Traffic Data

NOTE: The Historic Traffic Data Dashboard &amp; Feature Hosted Service have been retired.Network operations traffic data from Main Roads Western Australia for 2015 to 2019. The data provided includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals. 
The Historic Traffic Data is provided in CSV format per year.  Each table has over 34 million rows and can be linked to the M-Links Road Network using the M-Links ID. A data dictionary for M-Links Road Network and the Historic Traffic Data is at the following link:https://bit.ly/2S86uSnNetwork Operations traffic data can also be accessed via the Daily Traffic Data API at the following link: https://bit.ly/34ZsyAK
The network operations traffic data provided here is of variable quality and has not been checked, quality assured or manually corrected.  An automated process is used to patch over missing or suspect data with the most representative data available within the database.  Patches may be reapplied as new data becomes available and patched data may change over time. 
Note that you 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. 
Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced 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.”

Tags: historic, traffic
Organization: Main Roads Western Australia
Freight Vehicle Congestion in Australia's 5 Major Cities

These files provide more detailed outputs from BITRE's 'Freight vehicle congestion in Australia’s five major cities - 2019' publication (see: https://www.bitre.gov.au/publications/2021/freight-vehicle-congestion-australias-five-major-cities-2019), which reported freight vehicle telematics based measures of traffic congestion for freight vehicles on 53 selected routes across Australia’s five mainland state capital cities—Sydney, Melbourne, Brisbane, Adelaide and Perth. The selected routes comprise the major motorways, highways and arterial roads within each city that service both passenger and freight vehicles.

Disclaimers: https://www.infrastructure.gov.au/disclaimers.

Tags: BITRE, Transportation and Freight Services not elsewhere classified, congestion, freight vehicle congestion
Organization: Bureau of Infrastructure and Transport Research Economics
Road vehicles Australia, January 2022

Selected confidentialised extracts of the number of vehicles registered for road use in Australia on 31 January 2022. The statistics have been derived from state and territory motor vehicle registry data. These statistics replace the ABS Motor Vehicle Census, discontinued in 2021.

Disclaimers: https://www.infrastructure.gov.au/disclaimers.

Tags: australia, postcode, registrations, road, states, territories, vehicles
Organization: Bureau of Infrastructure and Transport Research Economics