AndreaBozzo/ceres-open-data-index huggingface dataset:
Smart Pedestrian Project

Smart Cities, Smart Liverpool, Smart Pedestrian Project
Thousands of people walk through the Liverpool city centre every day and, through the Smart Pedestrian Project, the paths they take will help shape the city’s future.
Liverpool City Council is counting pedestrian and vehicle movements around the city centre, collecting data from smart devices and camera-counting technology. The data is stripped of any identification and relayed and collected for analysis by researchers from the University of Wollongong.
Liverpool City Council now uses this data to inform planning decisions and respond to the rising number of residents and workers making their way around the city centre every day.  
Liverpool City Council secured an Australian Government Smart Cities and Suburbs grant to jointly fund the project.
Liverpool City Council worked with IT Integration Company Meshed and the University of Wollongong to deliver the technology. Meshed supplied the Low Power Wide Area Network and developed a Wi-Fi smart device counter. The university developed the people and vehicle-counting technology and data analysis. The technology makes use of the city’s existing CCTV cameras to capture images. No images are transmitted over the network, so there is no risk to privacy.
This dataset lists the API endpoint URLs to retrieve data for the smart pedestrian project. A dashboard to view the data can be found at https://pavo.its.uow.edu.au/
Please read the API documentation as you need to provide the parameters to make any API calls.  
An example has been provided below that lists all the visual sensors.
The API is divided in two sections: sensors, and readings (data gathered by sensors).  
Unless otherwise noted:  
* all datetimes are ISO formatted  
* all responses are JSON-formatted

Tags: Civic, Liverpool, Liverpool City Council, University, air, air quality, council, movement, pedestrian, people, quality
Organization: Transport for NSW
DuplicateAddresses.gdb

Metadata Portal Metadata InformationContent TitleDuplicateAddresses.gdbContent TypeHosted Feature LayerDescriptionGeodatabase containing duplicate address information for GNB.Initial Publication Date14/01/2022Data Currency27/06/2024Data Update FrequencyOtherContent SourceOtherFile TypeESRI File Geodatabase (*.gdb)AttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsStandard LicenceStandard and SpecificationData CustodianGeographical Names BoardPoint of ContactGeographical Names BoardData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Addressing, GNB
Organization: Spatial Services (DCS)
Journey to Work (JTW) 2006

This dataset contains a snapshot of commuting patterns for Census day 2006 (Tuesday 8th August). It is a complete enumeration via a self-completion Census form.  
The scope of Journey to Work (JTW) 2006 is employed persons aged 15 years and over, who were employed the week before Census night, and with a workplace in NSW.
JTW data may produce slightly different counts to those obtained directly from the Australian Bureau of Statistics (ABS) for the same geographic level due to:

ABS confidentialising process is applied to the data that Transport Performance and Analytics (TPA) purchases (randomisation of small cells)
Further validation and adjustment of the data undertaken by Transport Performance and Analytics TPA
Imputation of records of incomplete addresses to eliminate locality ‘dump’ codes

ABS data is used with permission from the Australian Bureau of Statistics

Tags: 2006, ABS, TPA, census, census day, commute, commuting, destination, employed, industry, journey, journey to work, nsw, occupation, patterns, people, person, workplace
Organization: Transport for NSW
Crown Lands NSW

Source -&nbsp;https://mapprod3.environment.nsw.gov.au/arcgis/rest/services/ePlanning/Planning_Portal_Crown_Land/MapServer/300
Metadata
Type&nbsp;&nbsp;Esri Feature ServiceUpdate Frequency&nbsp;&nbsp;As required&nbsp; &nbsp;Contact Details&nbsp;&nbsp;https://www.crownland.nsw.gov.au/contact-usRelationship to Themes and Datasets&nbsp;&nbsp;Accuracy&nbsp;The dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway.&nbsp;&nbsp;Spatial Reference System&nbsp;(dataset)&nbsp;Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD)&nbsp;&nbsp;Spatial Reference System   &nbsp;(web service)&nbsp;&nbsp;EPSG 4326: WGS 84 Geographic 2D&nbsp;&nbsp;WGS 84 Equivalent ToGDA94&nbsp;&nbsp;Spatial Extent&nbsp;&nbsp;Full State&nbsp;&nbsp;Standards and Specifications&nbsp;&nbsp;Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement.&nbsp;&nbsp;Distributors&nbsp;&nbsp;Crown Lands NSWDataset Producers and Contributors&nbsp;&nbsp;Crown Lands NSW

Tags: Crown Land, Crown Licence
Organization: Spatial Services (DCS)
Bus Occupancy - Aug 2016 to Jan 2017

This dataset provides an indicator of bus occupancy for individual bus services during three separate one week periods between August 2016 and January 2017.

Monday 8 August 2016 to Sunday 14th August 2016
Monday 21 November 2016 – Sunday 27 November 2016
Monday 26 December 2016 – Sunday 1 January 2017

The occupancy status is provided by three values:

STANDING ROOM ONLY
MANY SEATS AVAILABLE
FEW SEATS AVAILABLE

The data is provided as zipped csv files - one per day / one per week / one for all days

Tags: TPA, bus, historic, occupancy
Organization: Transport for NSW
Climate Vulnerability Assessment: Forestry

The Climate Vulnerability Assessment was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the Methodology Report (https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports) which also details model exclusions and assumptions.
Assessments were undertaken on commodities grouped into 6 nodes:
    Horticulture and Viticulture, Broadacre Cropping, Forestry, Extensive Livestock, Marine Fisheries
as well as on a set of biosecurity risks related to these primary industry sectors. The Summary Report (https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports) gives details of the chosen commodities and biosecurity risks and summarises the high-level results.
Results Reports for each commodity and biosecurity risk are being released. Visit the project's web page to access these reports and for further information: https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment.
This dataset contains maps of modelled climate suitability for the forestry node of the DPIRD Climate Vulnerability Assessment; the only commodity in this node is Radiata pine. Maps are provided for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination contained in the model. Data is provided for each of the eight global climate models used in the project, as well as the climate suitability derived from historical observations.

Tags: Agriculture, Climate Change, Climate Vulnerability Assessment, Forestry, Planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
NSW Statistical Areas Level 3 (SA3) boundaries ASGS 2021

Full detail Statistical Areas Level 3 (SA3) boundaries. Statistical Areas Level 3 (SA3) are geographical areas built from whole Statistical Areas Level 2 (SA2). Whole SA3s aggregate to form Statistical Areas Level 4 (SA4) in the ASGS Main Structure. Further information about these regions can be found in the following publication: Australian Statistical Geography Standard (ASGS) Edition 3 https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026

Tags: STATISTICAL GEOGRAPHY
Organization: Spatial Services (DCS)
NSW 2020 Spot 6-7 Web Map Tile Service

Access API

NSW 2020 Spot 6-7 Web
Map Tile Service

Please Note
WGS 84 = GDA94 service

This dataset has a spatial reference of
[WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments.

This imagery captured
between January and April 2020, is part of the Spatial Services
Whole-of-Government initiative providing a bi-annual state-wide, satellite
imagery at 1.5m resolution.

The state mosaic is
provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless
8-bit JPEG2000 file with a world file.

To view in ArcMap:

Click Catalog &gt;
GIS Servers &gt; Add WMTS server

Specify this url:

https://portal.spatial.nsw.gov.au/tileservices/Hosted/Spot2020Q1/MapServer/WMTS

Click Get Layers &gt;
Ok

Double Click
Spot2020Q1 in the catalogue menu under the WMTS.

Drag the Spot2020Q1
layer onto the map

Metadata



Content TitleNSW 2020 Spot 6-7 Web Map Tile ServiceContent TypeOtherDescriptionThe NSW 2019 Spot 6-7 Web Map Tile Service is an imagery service that displays full state capture of satellite imagery sourced from SPOT 6/7 Satellite.Initial Publication Date14/08/2020Data Currency14/08/2020Data Update FrequencyOtherContent SourceOtherFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsImagery Theme (NSW Foundation Spatial Framework)AccuracyThis Web Service is built as per Spatial Services project specification.WMS is OGC protocol compatible and suitable for consumption by common GIS platforms.Spatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationOGC
compliant and suitable for consumption by common GIS platforms. This dataset is
compliant with the NSW Foundation Spatial Data Framework and its
specifications.Data CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorData DistributorAdditional Supporting InformationGeospatial Intelligence

© CNES (2020) DISTRIBUTION AIRBUS DSTRIM Number

Tags: 2020, Imagery, NSW Imagery, Spot, Spot 6-7, satellite
Organization: Spatial Services (DCS)
NSW Foundation Spatial Data Framework - Water Theme Profile

The Water theme is based on hydrology which is the study of the movement, distribution and quality of water. This includes the hydrologic cycles, water resources and environmental watershed sustainability.
Hydrology includes surface hydrology, hydrogeology, drainage basin management and water quality where water plays the central role.
Water (surface water and groundwater) is concerned with information as aligned with the definitions under the Water Act 2007.
This theme includes Hydrology elements which are described as: 
Surface Water
• Water in a watercourse, lake or wetland.
• Any water flowing over or lying on land, either:
• after having precipitated naturally after having risen to the surface naturally from underground.
Groundwater
• Water occurring at a place below ground that has been pumped, diverted or released to that place for the purpose of being stored there
• Does not include water held in underground tanks, pipes or other works.

Tags: Geospatial, NSW Spatial Data Framework, Water Theme, spatial Services
Organization: Department of Customer Service
NSW Transport Theme - Transport Facility Line

  Export Data  Access API
NSW Transport Theme - Transport Facility Line
Please NoteWGS 84 service aligned to GDA94This
 dataset has spatial reference [WGS 84 ≈ GDA94] which may result in 
misalignments when viewed in GDA2020 environments. A similar service 
with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 
and WGS 84 ≈ GDA2020 environments.In due course, and allowing time 
for user feedback and testing, it is intended that the original service 
name will adopt the new 'multiCRS' functionality.Metadata Portal Metadata InformationContent TitleNSW Transport Theme - Transport Facility LineContent TypeHosted Feature LayerDescriptionTransport Facility Line is a
line feature class defining a facility related to transport.

Data in the Transport Facility
Line includes:WharfLaunching Ramp

Initial Publication Date06/02/2020Data Currency01/01/3000Data Update FrequencyOtherContent SourceData provider filesFile TypeESRI File Geodatabase (*.gdb)Attribution©
 State of New South Wales (Spatial Services, a business unit of the 
Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Transport Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThis
 dataset was captured by utilising the best available source at a 
variety of scales and accuracies, ranging from 1:500 to 1:250 000 
according to the National Mapping Council of Australia, Standards of Map
 Accuracy (1975). Therefore, the position of the feature instance will 
be within 0.5mm at map scale for 90% of the well-defined points. That 
is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 
25m and 1:100000 = 50m. A program to upgrade the spatial location and 
accuracy of data is ongoing.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentFull StateContent LineageFor additional information, please contact us via the Spatial Services Customer HubData ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer HubTerms and ConditionsCreative CommonsStandard and SpecificationOpen
 Geospatial Consortium (OGC) implemented and compatible for consumption 
by common GIS platforms. Available as either cache or non-cache, 
depending on client use or requirement.  Data CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorDCS Spatial Services346 Panorama AveBathurst NSW 2795Data DistributorDCS Spatial Services346 Panorama AveBathurst NSW 2795Additional Supporting InformationData DictionariesTRIM Number  

Tags: Launching Ramp, NSW Transport Theme, TFNSW, Transport, Transport Facility Line, Transport NSW, Transport Theme, launchingramp, transport, transportfacilityline, wharf
Organization: Spatial Services (DCS)
Trees 3D

Open in Digital Twin

3D visual representation of
trees. Produced from classified LiDAR data.
MetadataContent TitleTrees 3DContent TypeScene Layer/Scene Layer PackageDescription3D visual representation of treesInitial Publication Date02/12/2019Data Currency02/12/2019Data Update FrequencyOtherContent SourceOtherFile TypeScene Layer Package (*.slpk)AttributionData Theme, Classification or Relationship to other DatasetsGenerated from LiDAR data produced for the Elevation theme.AccuracyThe dataset is a visual representation of trees in the built and natural environment only. The location, size and scale of features should not be relied upon for any associated works as the accuracy and currency of the model is unknown and may have changed since publication by the dataset Producers and Contributors.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorSpatial Services | Department of Customer ServicesData DistributorSpatial Services | Department of Customer ServicesAdditional Supporting InformationTRIM Number
The data was created as
part of a Digital Twin Project

Spatial Services NSW
accepts no responsibility for any errors, additions or omissions in the data and provides no guarantees as
to the usefulness, accuracy or timeliness
of data provided. 

Tags: 3D, Digital Twin, Trees, Visualisation
Organization: Spatial Services (DCS)
NSW Foundation Spatial Data Framework - Imagery - Standard Aerial Imagery

Spatial Service’s standard imagery capture program covers the entire state of NSW. Standard coverage imagery is captured and processed at a 50cm Ground Sample Distance (GSD) and is available as either 5km x 5km image modules or mosaicked to the extent of a 1:100,000 mapsheet.

Tags: Imagery, NSW Spatial Data Framework, Spatial Services, Standard Aerial Imagery, geospatial
Organization: Department of Customer Service
Asbestos

The areas are based on the existing 1:250,000 geological mapping with additional use of 1:25 000 lithological mapping in the Broken Hill area. The datasets also include point data information on sites where naturally occurring asbestos has been found, and petrographic information on asbestos and its host rocks. 
The different dataset layers can be switched on or off (and their transparency adjusted) by clicking the 'Layers' icon at the bottom of the screen. Clicking on a polygon or point will return more detailed attribute information. The map has been restricted to only zoom to approximately 1:80,000, reflecting the maximum accuracy of the underlying mapping data.  For more information visit http://www.epa.nsw.gov.au/clm/natural-asbestos.htm or http://www.safeworkaustralia.gov.au/sites/swa/whs-information/asbestos/pages/asbestos 

Tags: Asbestos
Organization: Spatial Services (DCS)
NSW Foundation Spatial Data Framework - Imagery - Standard Aerial Imagery Stereo Workspaces

Standard Aerial Imagery Stereo Workspaces relates to
overlapping imagery pairs that are available for each flight line of imagery captured for standard aerial imagery jobs. These image pairs are captured at a 50cm Ground Sample Distance (GSD).
The coverage of standard aerial imagery stereo workspaces is available across the entire state of NSW.

Tags: Imagery, NSW Foundation Spatial Data Framework, Spatial Services, geospatial
Organization: Department of Customer Service
Timetables Complete GTFS

Static timetables, stop locations, and route shape information in General Transit Feed Specification (GTFS) format for all operators, including regional, trackwork and transport routes not available in realtime feeds.
Returns ZIP file containing CSV files
Please note: due to the large file size, the API explorer will not work for this resource, ie. 'EXPLORE API' function. To use this dataset please download the zip file using the 'DOWNLOAD' button below or use cURL to get directly.
TfNSW GTFS Pathways extension as part of the GTFS Timetables Complete bundle released 2 June 2023.

Tags: Transportation, gtfs, pathways, public transport, stop, stop locations, timetable, transport, transport operators, trip planner, trip planning
Organization: Transport for NSW
NSW Statistical Areas Level 1 boundaries -ASGS 2021

Full detail Statistical Areas Level 1 boundaries. Statistical Areas Level 1 are geographical areas built from whole Mesh Blocks. Whole SA1s aggregate to form Statistical Areas Level 2 in the ASGS Main Structure. Further information about these regions can be found in the following publication: Australian Statistical Geography Standard (ASGS) Edition 3 https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026

Tags: STATISTICAL GEOGRAPHY
Organization: Spatial Services (DCS)
Education 3D

Open in Digital Twin

Education features include
combined primary-high schools, high schools, preschools, primary schools,
research stations, special schools, TAFE colleges, and universities. 
Downloads:File Geodatabase
Metadata
Content TitleEducation 3DContent TypeScene Layer/Scene Layer PackageDescriptionThis is a subset of the NSW Points of Interest (POI) Layer which allows users to search for and identify the location of features that people may want to see on a map, know about or visit.Initial Publication Date14/11/2019Data Currency19/04/2024Data Update FrequencyOtherContent SourceOtherFile TypeScene Layer Package (*.slpk)AttributionData Theme, Classification or Relationship to other DatasetsPlace Name and Cultural Themes of the NSW Foundation Spatial
Data Framework.AccuracyThe dataset maintains a positional relationship to, and
alignment with, the state's topographic features including natural, physical
and cultural. It is divided into the four themes: Cultural, Hydrography,
Physiography and Transportation. Each of these themes is made up of various
Feature Classes (or layers) that contain the relevant spatial data and their
associated attributes and relationships. The data is captured at a variety of
scales and accuracy, ranging from 1:500 to 1:250 000 according to the National
Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the
position of the feature instance will be within 0.5mm at map scale for 90% of
the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m,
1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional
upgrade (accuracy improvement) is currently underway. Feature heights have been
derived from LiDAR elevation sources including 1m and 2m DEMs. The data used to
create the DEMs have an accuracy of 0.3m (95% Confidence Interval) vertical and
0.8m (95% Confidence Interval) horizontal. The features vertical accuracy is
also function of its horizontal position.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationOpen Geospatial Consortium (OGC) implemented and compatible for
consumption by common GIS platforms. Available as either cache or non-cache,
depending on client use or requirement.Data CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorSpatial Services | Department of Customer ServicesData DistributorSpatial Services | Department of Customer ServicesAdditional Supporting InformationTRIM Number
The data was created as part of a Digital Twin Project
Spatial Services NSW accepts no responsibility for any errors, additions or omissions in the data and provides no guarantees as to the usefulness, accuracy or timeliness of data provided. 



Tags: 3D, Cultural, Digital Twin, Education, POI, Place name, Pointsofinterest, Primary, Schools, Tafe, University, preschool, school, secondary
Organization: Spatial Services (DCS)