AndreaBozzo/ceres-open-data-index huggingface dataset:
Brimbank Shelters and Shades

Open Space asset features collected since 2007/08 Open Space Inventory & Condition Assessment project. This layer contains polygon features for sheltered areas & shades.

While all due care has been taken to ensure the dataset is accurate and current, there may be errors or omissions in it. Brimbank City Council and its employees accept no responsibility for the completeness, accuracy or reliability of the data. Brimbank City Council and its employees also accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with using or reliance upon the data in this dataset.

Tags: shade, shelter
Organization: Brimbank City Council
RDA 2015-16

Regional Development Australia 2015-16 (April 2016) 

Regional Development Australia (RDA) is an Australian Government initiative that brings together all levels of government to enhance the growth and development of Australia's regions. A national network of RDA committees has been established to achieve this objective. 

RDA Regions are created and maintained by the Dept. of Infrastructure and Regional Development to support this initiative. 

Notes 

The RDA Regions (2015-16) were built from the ABS LGA/PSMA 2015 boundary datasets. 

The RDA spatial data is updated as new LGA boundaries are released by ABS or as RDA regional boundaries move.  Please note that Jervis Bay Territory is included as part of RDA South Coast (NSW) and that RDA boundaries in SA follow SA Government Regions as defined in 2006 (in more remote areas) as well as LGA boundaries.

On the 16th of August 2011, the RDA representation of Lord Howe Island, previously RDA Northern Rivers was changed to RDA Mid North Coast. The 2011 dataset was updated to reflect this change. 





Organization: Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts
(Audit 2019) Average travel time to nearest public secondary school by car during 2031 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am).

Tags: congestion, crowding, transport, urban transport
Organization: Infrastructure Australia
Peri-Urban Mobile Program (PUMP) - Round 1

The Peri-Urban Mobile Program (PUMP) is a grants program that provides funding to improve mobile connectivity in bushfire priority areas along the edges of Australia's major cities.
PUMP complements the Mobile Black Spot Program, providing grant funding to mobile network operators and infrastructure providers to deploy new mobile phone infrastructure to address mobile reception and coverage issues in peri-urban areas.

The program targets long standing mobile coverage and reception issues in the peri-urban fringes of Australia's major cities, including on the underserved fringes of large regional cities like Geelong, the Gold Coast, and Newcastle.

The peri-urban fringe is where the bush meets the edges of the suburbs, creating natural disaster risks for those living and working in those areas. These areas have been underserved because of their high cost, difficult terrain and lower population densities.

For more information on PUMP go to https://www.infrastructure.gov.au/pump

Organization: Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts
000VIC Emergency Markers

Emergency markers look like a street sign, have three letters and three
numbers and have a green background and white text. Emergency markers are
spaced at regular intervals within metropolitan Melbourne.Emergency markers
enable the exact location of a triple zero (000) caller to be accurately
identified. Markers are more than just signs. They are supported by gps co-
ordinates and within EST linked to an internal dataset of directional
instructions enabling EST operators to provide directional information to
police, fire, ambulance and VICSES advising of obstructions such as locked
gates, road closures and quickest access points.

Tags: Cad, Tracks, benchmarkers, emergency, emergencymanagementnt, emergencymanagementvic, emergencymarkers, markers, openscapce, shareduserpathways
Organization: Emergency Services Telecommunications Authority (Victoria)
(Audit 2019) Congestion on major roads during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am). Note that any network links below relevant daily volume thresholds are not included. This is why some sections will appear missing or broken, and some links are isolated.

Tags: congestion, crowding, transport, urban transport
Organization: Infrastructure Australia
(Audit 2019) Crowding on suburban trains during 2031 PM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during PM peak (4pm to 6pm). Note that any network links below relevant daily volume thresholds are not included. This is why some sections will appear missing or broken, and some links are isolated.

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
(Audit 2019) Percentage of all jobs within a city accessible in 30 minutes by car during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am).

Tags: congestion, crowding, transport, urban transport
Organization: Infrastructure Australia
Murray-Darling Basin - Northern and Southern Basin

Regions defined in Schedule 6 of the Murray-Darling Basin Plan 2012 as (a) the Northern Basin region, which includes all rivers in the Basin upstream of the upstream extent of the Menindee Lakes; and (b) the Southern Basin region, which includes the River Murray upstream of the boundary of the Coorong, Lower Lakes and Murray Mouth Ramsar site and all connected tributaries apart from the Northern Basin; and (c) 2 disconnected rivers regions, the Lachlan and Wimmera Rivers, if supply contributions are proposed within these valleys. Note: The Coorong, Lower Lakes and Murray Mouth Ramsar site cannot be scored in the same way as other sites and reaches.

Tags: Murray-Darling Basin
Organization: Murray-Darling Basin Authority
(Audit 2019) Crowding on suburban trains during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am). Note that any network links below relevant daily volume thresholds are not included. This is why some sections will appear missing or broken, and some links are isolated.

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
(Audit 2019) Crowding on suburban trains during 2031 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am). Note that any network links below relevant daily volume thresholds are not included. This is why some sections will appear missing or broken, and some links are isolated.

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
Brimbank Community Venues

This table outlines the point locations of community venue in Brimbank. Attribute includes Primary Category, facility name, address and etc.

While all due care has been taken to ensure the dataset is accurate and current, there may be errors or omissions in it. Brimbank City Council and its employees accept no responsibility for the completeness, accuracy or reliability of the data. Brimbank City Council and its employees also accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with using or reliance upon the data in this dataset.

Tags: community halls, community infrastructure, community venue
Organization: Brimbank City Council
(Audit 2019) Percentage of all jobs within a city accessible in 30 minutes by public transport during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am).

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
Southern Grampians Model of Late Stone Fruit Suitability

Current suitability model for the commodity of Late Stone Fruit in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models: https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf

Tags: Agriculture, Climate change, Climate suitability, Climatology Meteorology and Atmosphere, Commodities, Cropping, Environment, Farming, Farming, Model
Organization: Southern Grampians Shire Council
Cropping Management Practices, 1998-1999

    

This data relates to the proportion of cropping farms which employed
conservation, tillage, direct drilling or traditional cultivation methods in
the period 1998-1999. The proportion of farms undertaking conservation
cropping techniques is reported at the Statistical Division (SD) level for
Australia. This data relates to broadacre and dairy farms run by owner
managers. The data was collected by Resource Management Supplementary (RMS)
survey interview which accompanied the ABARE Annual farm survey in 1998-1999.
The data is presented at a scale of 25000000. Projection: Albers Equal-Area
Conic Datum: WGS84 Central Meridian: 132 Reference Latitude: 0 Standard
Parallel 1: -18 Standard Parallel 2: -36 False Easting: 0 False Northing: 0
The following attributes are contained within the dataset; Sd code a a unique
3 digit code for Statistical Divisions (SD), Sd name a the name of the
Statistical Division (SD), tcstub_pl a Proportion of farmers that in 1998-99
sowed by traditional cultivation with the previous crop stubble ploughed in.
tcstub_bu a Proportion of farmers that in 1998-99 sowed by traditional
cultivation with the previous crop stubble burnt, cut or grazed. ddstub_pl a
Proportion of farmers that in 1998-99 sowed by direct drilling into the
previous crop stubble. ddstub_bu a Proportion of farmers that in 1998-99 sowed
by direct drilling into the previous crop stubble after it has been burnt, cut
or grazed. mtstub_pl a Proportion of farmers that in 1998-99 sowed by minimum
tillage with the previous crop stubble ploughed in. mtstub_bu a Proportion of
farmers that in 1998-99 sowed by minimum tillage with the previous crop
stubble cut, burnt or grazed Ag_land_ha a hectares of agricultural land use in
the Statistical Division (SD). Note that metropolitan areas are assigned a
value of -99999, whilst areas with no data are assigned a value of -88888.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_cmp__r9aa
__00111a00.xml) for more detail.



Tags: agriculture, demography, economics, farming, humanenvironment, indicators, statistics, surveys
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Farms with significant degradation problems (irrigation salinity), 1998-1999

    

This data relates to the proportion of farms who experienced significant
irrigation salinity problems in the period 1998-1999. Proportion of farms with
significant irrigation salinity problems is reported at the Statistical
Division (SD) level for Australia. This data relates to broadacre and dairy
farms run by owner managers. The data was collected by Resource Management
Supplementary (RMS) survey interview which accompanied the ABARE Annual farm
survey in 1998-1999.The data is presented at a scale of 25000000. Projection
-P Albers Equal-Area Conic -D WGS84 -m 132 -o 0 -p -18 -p -36 -e 0 -n 0The
following attributes are contained within the dataset; Sd code a a unique 3
digit code for Statistical Divisions (SD), Sd name a the name of the
Statistical Division (SD),Irrig_sal- the proportion of farmers who experienced
problems in 1998-1999.Ag_land_ha a hectares of agricultural land use in the
Statistical Division (SD).Note that metropolitan areas are assigned a value of
-99999, whilst areas with no data are assigned a value of -88888.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_fdpisr9aa
__01111a00.xml) for more detail.



Tags: agriculture, demography, economics, farming, humanenvironment, indicators, statistics, surveys
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Australian Agricultural Environments (AAE) 2012

18 Australian Agricultural Environments (AAEs) developed by ABARES to stratify survey collection and analysis for the Australian Bureau of Statistics (ABS) Land Management Practices Survey (LaMPS). The ABS conducted the LaMPS to support Common Practices Assessments for the Carbon Farming Initiative (CFI). The 18 AAEs differentiate broad environmental, land use and land management patterns across Australia’s agricultural landscapes. The regionalisation combines ABS statistical units with published agro-ecological regions. The AAEs have been specifically developed to stratify data collection and analysis for the LaMPS and users of this regional classification should be aware of the limitations and currency of the underlying information when using these regional boundaries.

Tags: Agriculture, Boundaries, Carbon, statistical area
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Gisborne Futures Data

Gisborne Futures Data Set containing Proposed Zones and Overlays, Neighborhood Character Precincts and Housing Change Areas.  
Extent covers Gisborne in the Macedon Ranges Shire, Victoria.

Tags: Gisborne, Gisborne Futures Data, Housing Change Areas, MRSC, Neighborhood Character Precincts, Neighbourhood Character Precincts, Proposed Overlays, Proposed Zones, spatial data
Organization: Macedon Ranges Shire Council
Significant Tree

Significant tree groups in City of Boroondara. Data Updated in 2016

The information contained in this data set has been compiled by the Boroondara City Council, which is the owner of the copyright in this compilation.  Council makes this compilation available pursuant to the terms of a Creative Commons CC-BY licence Australia v3.0.  Council makes no representation and gives no warranty as to the accuracy, currency or utility of the information contained in this dataset and each user must make their own assessment of the accuracy, currency and utility of the information.

Tags: Boroondara, significant tree
Organization: City of Boroondara
ABARES Drought Risk by Farm Profit

This layer displays the percentage of drought risk by Farm Profit by ABARES AAGIS (Australian Agricultural and Grazing Industry Survey) regions as determined by Australian Bureau of Agricultural and Resource Economics and Science (ABARES).

This dataset comes from the “Measuring drought risk: The exposure and sensitivity of Australian farms to drought” research report authored by ABARES in 2020. 

The variables in the dataset relate to Table 7 in the report (however the figures were updated in 2021), where drought year (drought_yr) refers to farm profit in a drought year ($000) and normal year (normal_yr) refers to farm profit in a normal year ($000) which has been sourced from ABARES farmpredict model. Drought risk is then defined as the percentage change in farm profit between normal and drought years.

Please note there is insufficient data in the AAGIS QLD South Queensland Coastal – Curtis to Moreton and NSW Tablelands (Norther Central and Southern) therefore these regions are not displayed. 


Tags: Environment, drought, farm, risk
Organization: National Recovery and Resilience Agency
Southern Grampians Model of Brassica Suitability

Current suitability model for the commodity of Brassica's  in Southern Grampians Shire Council.
As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models:
https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf


Tags: Agricultural Land Planning, Agriculture, Climate change, Commodities, Cropping, Environment, Farming, Grazing, Model, Suitability
Organization: Southern Grampians Shire Council
Moonee Valley - Barbecue

This Data set provides information about barbecue's with in the Moonee Valley City Council.

Though all due care is taken to ensure published data is accurate and error free, Moonee Valley City Council does not warrant the accuracy or completeness of information in this publication. Any person using or relying upon such information does so on the basis that the Moonee Valley City Council or its staff shall bear no responsibility or liability whatsoever for any errors, faults, defects or omissions in the information.

Tags: barbecue, barbeques, bbq, parks
Organization: Moonee Valley City Council
(Audit 2019) Crowding on trams/light rail during 2016 AM peak

This layer is part of strategic transport modelling undertaken for [Urban Transport Crowding and Congestion](https://www.infrastructureaustralia.gov.au/publications/urban-transport-crowding-and-congestion), a supplementary report of the [Australian Infrastructure Audit 2019](https://www.infrastructureaustralia.gov.au/publications/australian-infrastructure-audit-2019).

These data represent average weekday transport performance during AM peak (7am to 9am). Note that any network links below relevant daily volume thresholds are not included. This is why some sections will appear missing or broken, and some links are isolated.

Tags: congestion, crowding, public transport, transport, urban transport
Organization: Infrastructure Australia
Strathbogie Shire Current Urban Floodway Zone

Polygon data of Current Urban Floodway Zone for the Strathbogie Shire Council. *Data extracted from Vicmap_Planning

Although due care has been taken to ensure that this data is correct no warranty is expressed or implied by the Strathbogie Shire Council in its use.

Tags: Open Council Data, local government, planning, strathbogie, urban floodway zone
Organization: Strathbogie Shire Council
Southern Grampians Model of Berries Suitability 2050

Current suitability model for the commodity of Berries in 2050 in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models: https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf

Tags: Agriculture, Climate change, Climatology Meteorology and Atmosphere, Commodities, Cropping, Environment, Farming, Farming, Grazing, Model
Organization: Southern Grampians Shire Council
Flora Species Occupancy and Distribution Baselines in NSW RFA Regions

<a href="https://portal.spatial.nsw.gov.au/server/rest/services/Flora_Maxent/MapServer">Access API</a>

A Series of models describing Flora habitat suitability as probability in Regional Forest Agreement Regions. More information: https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459


Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>
Content TitleFlora Species Occupancy and Distribution Baselines in NSW RFA RegionsContent TypeOtherDescriptionA Series of models describing Flora habitat suitability as probability in Regional Forest Agreement RegionsInitial Publication Date26/08/2022Data Currency01/01/2000Data Update FrequencyOtherContent SourceFile TypeTIFFAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNatural Resources CommissionPoint of Contactnrc@nrc.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number 

Tags: Ecology, FMIP, Fauna, Flora, Forest Management Improvement Project, Forests, Habitat Suitability, NRC, NSW, Natural Resources, Natural Resources Commission, RFA, Regional Forest Agreement, Species Occupancy
Organization: Spatial Services (DCS)
Southern Grampians Model of Citrus Suitability

Current suitability model for the commodity of Citrus in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Council. Please see linked report for the full report and the scientific methods behind the models: https://static1.squarespace.com/static/54f68ff0e4b023b479e4a746/t/555433cee4b0234e02cabf54/1431581646137/Land+Use+Capability+FINAL+REPORT.pdf

Tags: Agriculture, Climate change, Climate suitability, Climatology Meteorology and Atmosphere, Commodities, Cropping, Environment, Farming, Farming, Model
Organization: Southern Grampians Shire Council