AndreaBozzo/ceres-open-data-index huggingface dataset:
Floreat-f2 - Contour lines SHP - 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 DTM Elevation Contour shapefile of the area North of Floreat SLSC (2021 Flight-2 project area). Contours are taken from MSL (AHD) at 1 metre elevation intervals.

Tags: 3d, beach, beachface, blowout, change, coast, coastal, coastline, contours, drift, drone, dune, foreshore, habitat, management, marine, movements, photogrammetry, protection, restoration, sand, shoreline, uav, vegetation, wa
Organization: Cambridge Coastcare
Sensor Microclimate

Collect telemetry at set intervals throughout the day. 
Sensors are located at various locations in the City of Canning, Western Australia and each sensor has a unique ID.  
The following lists the locations of each sensor:
2hq3byfebne is located at The City’s Civic and Administration Building 
uu90853psl is located at Wharf Street Basin - Leila Street entrance

Tags: Open Data, city of Canning, environment, microclimate
Organization: City of Canning
WaterCorp CIP Planned Assets Water (Lines) WCORP (WCORP-013)

The Water Corporation CIP Planning Layer is a spatial dataset representing the spatial extent of the Water Corporation’s 5 year capital investment program.  All future water, wastewater and drainage capital investment projects that are growth driven are represented.
The intent of this dataset is to enable effective response for future infrastructure plans/ enquiries, greater inter-government planning coordination and to facilitate the development industry’s planning.
The spatial extent of each project is as ‘planned’ and does not incorporate any changes that may occur to the future asset as the result of design work. The projects referred to in this data are subject to regular reprioritisation and investment decisions should not be based on this information.
© Water Corporation 2014. Copyright

Tags: Harvested, asset, future, line, planned, water
Organization: Data WA
Real-Time Traffic Data at Signalised Intersections

Due to unforeseen circumstances, this service is temporarily out of order. We are sorry for the trouble this may cause you. We are working hard to restore the service as soon as possible, but we cannot provide an estimated time of resolution at the moment.The API streams traffic data derived by the Main Roads SCATS software in real-time at signalised intersections on the Western Australian road network. 

Tags: SCATS, api, traffic
Organization: Main Roads Western Australia
2016-17 Western Australia Budget Economic and Fiscal Outlook Table and Chart Data

Tables and data underlying all chapters and appendices included in 2016-17 Budget Paper Number 3 - Economic and Fiscal Outlook.
Includes data from chapters as follows:

Chapter 1: Overview
Chapter 2: Economic Outlook
Chapter 3: Fiscal Outlook and Strategy
Chapter 4: General Government Revenue
Chapter 5: General Government Expenses
Chapter 6: Asset Investment
Chapter 7: Royalties for Regions
Appendix 1: Detailed Financial Projections
Appendix 2: General Government Operating Revenue
Appendix 3: 2015-16 General Government Operating Revenue
Appendix 4: The Treasurer's Advance
Appendix 5: Special Purpose Accounts
Appendix 6: State Government Social Concessions Expenditure Statement
Appendix 7: Asset Investment Program - Summary of Expenditure and Source of Funds
Appendix 8: Public Corporations - Impact on General Government Revenue and Expenses
Appendix 9: Tariffs, Fees and Charges
Appendix 10: Tax and Royalty Expenditure Statement
Appendix 11: Allocation of Asset Investment Program Efficiency Savings
Appendix 12: Western Australia's Net Contribution to the Federation
Appendix 13: National Partnership Agreements


Tags: 2016-17, Asset Investment, Budget paper 3, Concessions, Fees and Charges, Financial, Fiscal, General Government, Government, Public Corporations, Tax, budget
Organization: Department of Treasury
Floreat Beach 4 - Dense Point Cloud - Aug 2019

"This is the fourth 3D data model of Floreat Beach UAV imagery captured on 20th Aug 2019 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 model includes both 3D Point Cloud and 3D Mesh constructed from over 1000 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 
https://youtu.be/FpmwXFCcgl8
Link to the Sketchfab visualisation of the 3D textured mesh for 20th Aug 2019 
https://skfb.ly/6O9yy 
The dataset is a dense 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."

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
Floreat Beach 2 - 3D Textured Mesh - Jan 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
WAMSI 2 - Kimberley Node - Project 2.1.1 - Human use patterns and impacts in the coastal waters of the western Kimberley

Aerial surveys were undertaken throughout the Kimberley for a 12-month period from November 2012 – October 2013. The three main survey areas incorporated into the sampling design were Camden Sound, Dampier Peninsula and 80 Mile Beach. Also Eastern Kimberley for one survey.
In total, 41 aerial surveys were completed throughout the Kimberley from November 2012 – October 2013.  During this time period, several thousand photographic images were taken and examined and nearly 4,000 images showed evidence of human use. These images were used to classify and catalogue shore and boat-based recreational activity.
Data outputs are separated into a) processed data (Geodatabase of point data - Kimberley_Aerial_ASA and raster layers of density for the 2 survey areas - 80M_DensityOutputs and DP_DensityOutputs) b) raw data (folders containing .csv, shapefiles and .jpegs from each survey) and c) survey information (information about each survey e.g. date, time, pilot, observers, start, finish location etc.)

Organization: Western Australian Marine Science Institution
Road Train with Long Trailers 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, RAV, Road Train with Long Trailers
Organization: Main Roads Western Australia
Floreat-f1 - Sparse Point Cloud LAS - Aug 2021

"The first capture of the area surrounding 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 South Floreat SLSC (2021 Flight-1 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 Water Resources - Perched Aquifer - Fresh

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 ‘Perched_aquifer_fresh.shp’ contains polygon data indicating the approximate boundary of the freshwater perched aquifer 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 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 freshwater perched 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 Node 1.1.4 - Assessing and predicting impacts of physical forcing factors.

A) Rates of primary productivity for reef macroalgal and sediment microalgal communities will be determined from measurements of oxygen release (and/or CO2 consumption) collected from reef (3x) and bare sand/microphytobenthos (3x) communities using benthic chamber incubations. B) Nutrient enrichment experiments - response of macroalgae will be measured in terms of N assimilation in algal tissue, changes to species composition and changes in abundances. The response of consumers (abundance and other aspects of population dynamics, biomass, feeding biology and fecundity) will also be investigated, using video for mobile (fish) grazers, and quadrat sampling for less mobile grazers (eg. gastropods on reefs, urchins in sediments). Variations in the isotopic composition of the algae and consumers will be used to assess nutrient exposure and subsequent energy flow pathways into secondary production.

Organization: Western Australian Marine Science Institution
WAMSI 2 - Kimberley Node - Project 2.2.2 - Pathways to Production: Biogeochemical Processes in Kimberley Coastal Waters

One of the few remaining pristine coastal environments in the world, the Kimberley is highly valued for its biodiversity, cultural values, tourism and fisheries. The biodiversity of the Kimberley coast is fuelled by oceanic and terrestrially derived nutrient resources, yet there has been limited prior research about how nutrients vary or how they are used and recycled across the region. Building this understanding is essential to inform future management of the Kimberley coast and marine parks.
This project has therefore been undertaken to address both of the major research priorities emphasised in the Kimberley Marine Research Program Science Plan: (a) providing the bio-physical characterisation required for marine resource management and (b) improving understanding of ecosystem function and how this might change in response to future trends in human use. In particular, this project has aimed to elucidate the processes controlling carbon and nutrient flows through pelagic ecosystems in the Kimberley region. Specifically, we have sought to link physical processes and riverine inputs to food web structure and function, improving process understanding of pathways and material flows that connect habitats, populations and bioregions in the Kimberley. We have identified sources of nutrients and how they translate to productivity for consumers, and through this work have supported the development of an improved understanding of how such processes may be modified by a changing climate.
Data is stored on Pawsey Data Portal (https://data.pawsey.org.au/public/?path=/WA Node Ocean Data Network/WAMSI2/KMRP/2.2/2.2.2) available after embargo.

Organization: Western Australian Marine Science Institution
WAMSI Kimberley aerial photo data - 19th September 2008

On the 19th of September 2008 a Canon EOS 1Ds took 1254 photos from a plane flown by Jorg Hacker - (Airborne Research Australia).  These were taken over part of the Kimberley (Montgomery Reef) and geo-located (centre-points only) using OziExplorer and OziPhotoTools software.
Detailed flight lines and information are available in the .kmz files available for download.

Organization: Western Australian Marine Science Institution
Christmas Island Building Outlines 2011

Building polygons were created in February 2013 by Geoscience Australia by manually digitising the
outline of each building off the 2011 orthophotography.
Digitisation was done from scratch off the 2011 orthophotography within Quantum GIS.
Using the ArcMap 'zonal statistics' tool the minimum, mean and maximum heights were
found for each building polygon from the 2011 digital elevation model and the 2011 digital
surface model (DSM). This information was then joined to the building polygon attribute
table. To find the building height from ground to roof, the difference between the Mean DSM
and mean DEM was calculated and added as a field to the attribute table. To find the
maximum height of each building the difference between the Maximum DSM and Mean
DEM was calculated. Polygon area, perimeter, and x and y coordinates of each building were
also attached as attributes.
Accuracy is high as the layer was based on the 2011 orthophotography. Error may have been
introduced through the digitisation process. Building lean in the orthophotography may also
contribute to polygons which are slightly inaccurately placed.
Height attribute accuracy is inaccurate for building polygons which have tree cover above
them, as the tree elevation would influence the digital surface model. Particularly the
Max_height field may include tree heights rather than building heights in some cases.
Attribute accuracy could be improved by using the raw 2011 lidar data (.las files) which are
classified at 'buildings' to attach heights. This method was tested and was extremely time
consuming - only the height_max field was significantly improved.
Disclaimer

Tags: Christmas, IOT, building, topographic
Organization: Department of Infrastructure, Transport, Cities and Regional Development
Daily Traffic Data API

Due to unforeseen circumstances, this service is temporarily out of order. We are sorry for the trouble this may cause you. We are working hard to restore the service as soon as possible, but we cannot provide an estimated time of resolution at the moment.Network operations traffic data from Main Roads Western Australia from 01 January 2013. The data from this API includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals.  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.” Instructions and documentation for using this API: Links Reporting Links: publicirisservices.mainroads.wa.gov.au/RoadNetworkPerformanceService/api/ReportingLinks Link Data: publicirisservices.mainroads.wa.gov.au/RoadNetworkPerformanceService/api/LinkData?linkdatadate=2017-9-1

Tags: Traffic, api
Organization: Main Roads Western Australia
WAMSI 2 - Kimberley Node - 2.2.4 - Benthic primary productivity: production and herbivory of seagrasses, macroalgae and microalgae - Non-CSIRO

This research addressed seagrass, macroalgal and microalgal abundance, biomass and productivity for the Sunday Island Group (in the Buccaneer Archipelago, Western Australia) and also assessed rates of herbivory on seagrass. The main aim was to understand the role of benthic primary producers in the macrotidal fringing reef and terraced lagoon environments which characterize the Sunday Island Group and are common throughout the Kimberley.
Our study was focused on the islands and coastline of the Bardi Jawi Indigenous Protected Area (IPA), encompassing Cygnet Bay, One Arm Point, Jalan (Tallon Island) and Iwany (Sunday Island).  Five surveys were conducted between November 2013 to November 2015, with three surveys occurring just prior to the wet season (November 2013, October 2014 and October-November 2015) and two surveys just after the wet season (March 2014 and April 2015).
This metadata specifically refers to bacteria production data from soft sediment and ECU derived data from Christin Sawstrom.  
The related CSIRO Marlin record is: http://www.marlin.csiro.au/geonetwork/srv/eng/search#!2f5065eb-0aa1-32ba-e053-08114f8c742d

Organization: Western Australian Marine Science Institution
1:2 500 000 Major crustal boundaries of Western Australia, 2021

The ‘1:2 500 000 major crustal boundaries of Western Australia, 2021’ digital layer is a regional compilation of interpreted crustal
boundaries that penetrate the lithosphere or bound tectonic units at the terrane or province scale. These boundaries have been interpreted and extrapolated from a variety of geological and geophysical datasets, primarily seismic reflection profiles, outcrop geology, and potential field data (gravity and aeromagnetics). Tectonic events ascribed to each boundary are defined in the GSWA Explanatory Notes Database (February 2021). The positional accuracy of these boundaries is low, due primarily to their crustal scale and uncertainties in interpreting the primary data sources, and consequently this map is best used at the nominal scale or smaller.

Tags: Crustal, lithosphere, outcrop, seismic relfection, tectonic
Organization: Department of Energy, Mines, Industry Regulation and Safety
WAMSI 2 - Dredging Node - 6.2 - Patterns of Sponge Biodiversity in the Pilbara, Northwestern Australia

The objective is to synthesize published information on sponge distributions and biodiversities in North-West Australia, with an additional focus on extracting data from Western Australian Museum (WAM) specimen databases and collections, and analysing and collating these datasets to provide an overall synthesis of the sponge faunal biodiversity and distributions of the NW.

Organization: Western Australian Marine Science Institution
WAMSI 2 - Kimberley Node - 1.4 - Remote sensing in support of marine environmental monitoring

The goal of this project is to quantify the reliability of remotely sensed turbidity products for use in the Kimberley region. There are two specific objectives.
1: Analyze uncertainties of remotely sensed turbidity products by comparison of different algorithms and different resolution products with each other and with archived in situ data
2: Analyze time series of remotely sensed turbidity data to provide first-stage pilot products that may be applicable for future use as marine management tools. The deliverables are:

Analysis of ensemble variability between different algorithms;
Assessment of sub-km scale variability from comparison with high-resolution products;
Quantification of uncertainty from comparison with archived in situ data;
Maps of turbidity "hotspot" regions (i.e. regions of frequently occurring high turbidity events and regions of extreme variability).;
Alternative: Maps of different turbidity regimes (e.g. permanently high turbidity, frequent turbid events, infrequent turbid events, persistently clear water).;
Turbidity indicator products (e.g. days above a set turbidity threshold)


Organization: Western Australian Marine Science Institution
WAMSI 2 - Kimberley Node - Project 2.2.1 Physical oceanographic dynamics in the Kimberley

The physical oceanographic environment of the morphologically complex Kimberley coast is globally unique with deep and narrow inlets and extensive island archipelagos interacting with a macrotidal regime.
KSN Project 2.2.1 investigated the processes controlling physical variability (e.g. circulation and temperature variability) within the Kimberley’s shallow water macrotidal reef environments, including transport and exchange rates between reef and coastal waters. 
An intensive field study are conducted at Tallon Island between 22nd March 2014 to 13 April 2014.
A number of moorings were placed on the tidal reef flats. Consisting of Acoustic Doppler Velocimeters, temperature loggers and an Acoustic Wave and Current Meter (AWAC)
An RTK bathymetry survey was also conducted over a number of days during the field program.
A weather station was also deployed on a scaffold tower in the intertidal area. Weather station measured was used to measure wind speed, air temperature, solar radiation and barometric pressure.
Data associated with this metadata record pertains to 4 Nortek Vectors deployed on the reef and a weather station mounted on in the lagoon.

Organization: Western Australian Marine Science Institution
WAMSI Kimberley aerial photo data - 22nd September 2008

On the 22nd of September 2008 a Canon EOS 1Ds took 820 photos from a plane flown by Jorg Hacker - (Airborne Research Australia).  These were taken over part of the Kimberley (Coulomb Point, Quondong Point and Gourdon Bay) and geo-located (centre-points only) using OziExplorer and OziPhotoTools software.
Detailed flight lines and information are available in the .kmz files available for download.

Organization: Western Australian Marine Science Institution