AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI Kimberley and Pilbara hyper-spectral, tri-spectral and aerial photo data - September 2008 - Summary

On the 18th, 19th, 21st, 22nd, 23rd and 25th of September 2008, Jorg Hacker flew parts of the Kimberley (Montgomery Reef, Packer Island, Perpendicular Head, North Head, Gourdon Bay, Coulomb Point and Quondong Point) and Pilbara (Regnard Bay) for a WAMSI project.  Data was collected with a hyper-spectral scanner (AISA+ Airborne Hyperspectral System from Specim - Spectral Imaging Ltd.), a tri-spectral scanner (TSLS/TSS - built locally by ARA) and a digital camera (Canon EOS 1Ds). 
Detailed flight lines and information are included in the .kmz files attached to child metadata records.

Organization: Western Australian Marine Science Institution
WAMSI Pilbara aerial photo data - 25th September 2008

On the 25th of September 2008 a Canon EOS 1Ds took 967 photos from a plane flown by Jorg Hacker - (Airborne Research Australia).  These were taken near Karratha (Regnard Bay) and geo-located (centre-points only) using OziExplorer and OziPhotoTools software.
Detailed flight lines and information are included in the .kmz files attached.

Organization: Western Australian Marine Science Institution
Floreat-f4 - LiDAR LAS - 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
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 (2022 Flight-4 project area).

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
Christmas Island Water Resources - Zone of high vulnerability

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 ‘h_vulnerability.shp’ contains polygon data indicating the approximate boundary of the basal aquifer that is at high risk from water 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 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 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
Floreat Beach 1 - Orthomosaic JPEG2000 - Oct 2018

No description available.

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, drift, drone, dune, foreshore, habitat, management, marine, movements, orthomosaic, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Early Townsite of Toodyay 1852 (Town Plan)

AU WA S235- cons3868 400
Toodyay (Newcastle) 12. Plan of Toodyay Townsite by F.T. Gregory 1852, W. Phelps 1859/1860, by C. Evans 1861 and unsigned [scale: 4 chains to an inch, Tally No. 005855].
Further Information available from State Records Office.
Series S235 - ORIGINAL PLANS - TOWNSITES 

Tags: early, historical, site, town
Organization: State Records Office of Western Australia
Floreat-f1 - LiDAR - Aug 2021

The first capture of the area surrounding 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-1 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
Floreat Beach 3 - 3D Textured Mesh - May 2019

No description available.

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dune, foreshore, habitat, management, marine, mesh, movements, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
PBS Tri Drive Quad Axle Network 1.2 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 Tri Drive Networks, PBS Tri Drive Quad Axle Lvl 2, RAV
Organization: Main Roads Western Australia
Floreat-f3 - 3D Textured Mesh OBJ - Aug 2021

The fifth capture of the Floreat dog beach, 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 Floreat dog beach (2021 Flight-3 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 Digital Elevation Model - 2011

In 2011 AAM was commissioned by the Commonwealth to fly an airborne laser scanning survey (LiDAR) of Christmas Island. The survey was carried out using a fixed wing aircraft between the 24th and 26th of August 2011. All data was captured within approximately 2 hours of low tide. During this period tides ranged from 0.5m to 1.2m.
AAM classified the raw LiDAR points into the following classes using a single algorithm across the project area:
0 Unclassified - Created, never classified
1 Default - Unclassified
2 Ground - Bare ground
3 Low vegetation - 0 – 0.3m (essentially sensor 'noise')
4 Medium vegetation - 0.3 – 2m
5 High vegetation - 2m &gt;
6 Buildings, structures - Buildings, houses, sheds, silos etc.
7 Low / high points - Spurious high/low point returns (unusable)
8 Model key points - Reserved for ‘model key points’ only
9 Water - Any point in water
10 Bridge - Any bridge or overpass
11 not used - Reserved for future definition
12 Overlap points - Flight line overlap points
The raw LiDAR points in the .las format were provided to Geoscience Australia along with 1km ESRI grid tiles generated by interpolation from the points. The tiles were then joined to create a DEM (TIFF) that covers the full extent of Christmas Island. Each cell, 1m x 1m, in the grid contains the height in metres of the ground surface. As a guide, the DEM data is vertically accurate to 15cm and horizontally accurate to 30cm. Manual checking and editing was carried out by AAM to improve accuracy. Positional accuracy has been checked by Geoscience Australia and was found to match the ground surface well.
The DEM data is complete for the full extent of Christmas Island.
Disclaimer

Tags: Christmas, DEM, IOT
Organization: Department of Infrastructure, Transport, Cities and Regional Development
Christmas Island Old Drill Lines Clearing

In early 2011 PRL provided Geoscience Australia with the Old Drill Hole Clearing dataset.
This dataset shows the location of old drill lines cleared through the rainforest on Christmas
Island. Drill lines were cleared to test the land for phosphate deposits and were cleared from
the 1950’s through to the 1970’s, before Phosphate Resources Limited (PRL) began mining
on the island.
The Old Drill Hole Clearing dataset has been developed from the Peg and Line grid.   PRL used Surpac to create a road outline 7 m wide (this is the
estimate of two dozer D6 blades widths) along each of the previous drill lines. They were
then stitched together and made into a polygon.
There seems to be a good correlation between the extent of the drill lines and evidence of
clearing from the 1987 orthophotography.
The accuracy of the Peg and Line used as a base when the shapefile was produced is of
relevance. The error in the data appears to be in the vicinity of 100 metres. As clearing
boundaries and coast (though highly simplified) of the same map plot in far better position
(after transformation) in relation to the orthophotographs and other GIS themes, the majority
of inaccuracy in this theme is probably inherited from the original map (abbsite.dwg). That
is, it appears that the clearings and coast of abbsite.dwg are reasonably accurate though very
imprecise (intended to be viewed at much greater scale), while the line and peg grid appears
less accurate. Thus the grid on the GIS is mainly illustrative at this time.
There are no attributes assigned to the data.
Disclaimer

Tags: Christmas, IOT, clearing, environment, geological, geology
Organization: Department of Infrastructure, Transport, Cities and Regional Development
WAMSI 2 - Kimberley Node: Project 2.2.9 Historical reconstructions of water quality in the Kimberley using sediment records

The remote Kimberley coast of north-western Australia is one of the few marine environments domains on earth largely unaffected by human use. However, the region is undergoing increasing economic importance as a destination for tourism and significant coastal developments associated with oil and gas exploration. The objective of the project was to reconstruct a timeline of inferred water quality changes from the sediment record for a selected set of sites in the Kimberley, Western Australia. 
The project made use of palaeoecological approaches to reconstruct a chronology of change over the last approximately 100 years using a series of biogeochemical proxies for phytoplankton composition and biomass, temperature and terrestrial influences. Where possible these were matched to historical land/water use, meteorological or hydrological observational records. The project examined sediment cores from three coastal locations, Koolama Bay (King George River), Cygnet Bay and Roebuck Bay. Each sampling location provided a contrast with which to evaluate changes over either a spatial or temporal gradient of human or natural influence.
Sediment cores (up to 1.5 m) were obtained from each of these locations in the expectation that they would provide a time series for about the last 100 years. A set of parameters was measured along the core length (every 1-2 cm) for some or all cores depending on the particular focus for the location: 210Pb and 137Cs; 15N isotope; 13C isotope; Carbon/Nitrogen ratio; Sedimentation rate and grain size; Total Organic Carbon (TOC) and Total Nitrogen (TN); Biosilicate; Biomarkers; TEX86; long chain n-alkanes (C27+C29+C31); Elemental carbon (or black carbon). 
Rainfall data was obtained from the Australian Bureau of Meteorology website (www.bom.gov.au). Stream flow data was obtained from the Western Australian Department of Water website (www.water.wa.gov.au). Historical bushfire data was obtained from the Western Australian Department of Parks and Wildlife.
The metadata record only relates to data generated as part of the sediment analysis.

Organization: Western Australian Marine Science Institution
Floreat-f2 - Orthomosaic - 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 2cm Orthomosaic (GeoTIFF &amp; JP2000) of the area North of Floreat SLSC (2021 Flight-2 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
Ningaloo hydro acoustic survey 2008 (Single Beam Sonar), Ningaloo Reef, Western Australia (WAMSI Node 3 Project 3.1.1)

This data is the output from processing of the Simrad EQ60 single beam sonar data collected in Ningaloo Marine Park (in 2007 and 2008) organised by Australian Institute of Marine Science (AIMS). CMST have developed Matlab code to read and process data obtained with the Simrad EQ60 to calculate depth. For one section (2008 North) the water column acoustic parameters: Nautical Area Scattering Coefficient (NASC) and the mean Volume Scattering Strength (Sv) were also calculated. Depth, E1 and E2 data collected 2006-2008 were also combined into one dataset. Data were interpolated into 50m grids using Kriging. 
This survey was undertaken to provide a) improved broad scale bathymetic data for Ningaloo and b) as a tool for the identification of areas of broad scale bathymetric and topographical interest in areas with different levels of protection within the Marine Park. Single beam data allows broad scale the characterization and classification of the seafloor in terms of geomorphological structure. This is relevant to the distribution of benthic habitats and help understand the spatial and temporal distribution of the deep water marine environment of NMP. The combination of topography and textural surfaces provide an excellent reference dataset for research and management of the NMP 
This data includes and builds upon the 2006 data set "Single beam acoustic surveys in Ningaloo Marine Park, Western Australia (WAMSI Node 3 Project 1 Subproject 3.1.1)" a link to the combined .csv file can be found here: 
"https://data.pawsey.org.au/public/?path=/WA Node Ocean Data Network/WAMSI1/Node3/3.1/3.1.1c"

Organization: Western Australian Marine Science Institution
Christmas Island Contours - 1m Urban - 2011

1m contours were generated for the urban area of the island from the 2011 DEM.  As a guide, the DEM data is vertically accurate to 15cm and horizontally accurate to 30cm.
Contours were generated from the DEM using freeware Quantum GIS. When compared to a sample area generated from the same data but using ESRI ArcMap, the
contours were of equal or better quality.
Disclaimer

Tags: 2011 LiDAR Survey, Christmas, IOT, contours, height data
Organization: Department of Infrastructure, Transport, Cities and Regional Development
Fitzroy River  1850

AU WA S236- cons3869 Kent 35
Vicinity of the Fitzroy River, Mt Campbell, Margaret &amp; Cunningham Rivers by G.E. May, Fieldbooks 7 &amp; 9 [scale: 8 chains to an inch, undated].
Further Information available from State Records Office.
Series S236 - ORIGINAL PLANS - DISTRICTS 

Tags: early, historical, site, town
Organization: State Records Office of Western Australia
WAMSI Kimberley tri-colour scanner data - 19th September 2008

On the 19th of September 2008 a tricolour scanner (Airborne Research Australia/AWI Airborne Tri-spectral Scanner System) collected data from part of the Kimberley (Montgomery Reef).  The bands collected were red, green, near infra-red (NIR) (wavelengths ~450nm to ~825nm)
Flight lines are displayed in thumbnail above.  Further detailed information can be obtained from contacts below.

Organization: Western Australian Marine Science Institution
WAMSI 2 - Kimberley Node - Project 1.2.2 - Key biological indices required to understand and manage nesting sea turtles along the Kimberley coast

The main components of the project were:
- Determine distribution, abundance, seasonality, and the duration and peak of nesting season for Kimberley sea turtles
- Collect biological information on key population parameters from key nesting beaches
- Clarify stock management units and identify connectivity to foraging areas using genetic markers
- Select beaches and techniques to allow long term monitoring and trend detection
- Investigate critical physiological thresholds of embryos that will can be used to predict the impact of climate change on population viability
- Develop systems for cross cultural transfer of knowledge (integration with other themes), participation and training
- Integrate existing on ground works by community groups
Data includes .xlsx, .txt. .kml and .jpeg

Organization: Western Australian Marine Science Institution
Floreat Beach 1 - Raster DSM GeoTIFF - Oct 2018

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
WAMSI 2 - Kimberley Node - 1.2.4 - Relative abundance, population genetic structure and acoustic monitoring of Australian snubfin and humpback dolphins in regions within the Kimberley

This WAMSI 2 project complements wider research programs which aim to increase our understanding of the distribution, abundance and population connectivity of Australian snubfin (Orcaella heinsohni) and humpback (Sousa sahulenis) dolphins, including the development of new research and monitoring methods. 
In this project, we: 
(i) collected genetic samples from snubfin and humpback dolphins at selected locations in the Kimberley and assessed the connectivity between these and previously sampled populations elsewhere in north-western Australian waters; 
(ii) collected boat-based sightings and photo-identification data to assess the relative abundance of snubfin and humpback dolphins at selected locations in the Kimberley region; and, 
(iii) investigated the application of passive acoustic monitoring (PAM) as an effective technique for monitoring these species, including: characterisation of the underwater soundscape of two Kimberley locations; and, the collection of data on the acoustic repertoire and vocalisation rates of snubfin and humpback dolphins. 
Our results provide managers and policy-makers with valuable data on the relative importance of several sites within the Kimberley region to snubfin and humpback dolphins, along with an improved understanding of the connectivity of populations and the appropriate geographic scales at which to manage them. We have shown that PAM provides a method of effectively detecting snubfin and humpback dolphins in high-use areas, and have increased the information base from which to further develop PAM towards more quantitative and species-specific monitoring of these dolphins.
Our collaborative approach included training and participation by Yawuru, Bardi-Jawi, Dambimangari and Balanggarra Traditional Owners, and a Marine Park Joint Management team. This has resulted in an improved understanding and capacity of relevant local land and sea managers to collect data on these poorly-understood species within remote areas, and laid the foundation for ongoing research in the Kimberley region.

Organization: Western Australian Marine Science Institution
WAMSI Node 4.4.2-2b - Genetic (microsatellite) determination of the stock structures of Pink snapper (Pagrus auratus) and Baldchin groper (Choerodon rubescens) in Western Australian waters.

The aim of the research is to use microsatellite markers to elucidate the stock structures of Pink snapper (Pagrus auratus) and Baldchin groper (Choerodon rubescens) in Western Australian waters.  
The research focused on analysing spatial patterns of genetic variation based on single samples from   locations along the south-western Australian coast.
The research was done in order to provide information to managers about the spatial scales that are relevant to the biology of these species and the appropriateness of the spatial units currently used for the management of these species, focussing on the West Coast Bioregion.  
This research is part of a PhD study being conducted by Michelle Gardner at Murdoch University.
The actual data collected are patterns of variation at 12 microsatellite loci stored as Excel spreadsheets

Organization: Western Australian Marine Science Institution