AndreaBozzo/ceres-open-data-index huggingface dataset:
Catch and Effort Cells for the Gippsland Lakes fisheries

This layer features the area cells used to record Catch and Effort data for the Gippsland Lakes commercial fisheries from April 1998 to March 2020. This layer is also used by the Gippsland Lakes Bait and Gippsland Lakes (Mussel Dive) fisheries, which are both still active.

Tags: Oceans
Organization: Victorian Fisheries Authority
INVERLOCH_CHA_08SLR_2021_SIMP

The Inverloch Region Coastal Hazard Assessment is a modelled dataset assessing sea level rises, planning horizons and storm events to determine erosion hazard zones in the study area.
The sea level rise components and subsequent planning horizons consisted of 0m (2020), 0.2m (2040), 0.5m (2070) and 0.8m (2100). The design storm events modelled were 1%,5% and 10% AEP (annual exceedance probability). The study reports can be obtained by contacting vcmp@delwp.vic.gov.au. - some generalisation for publishing in CoastKit.

Tags: Environment, Oceans
Organization: Department of Energy, Environment and Climate Action
WESTERN PORT 1% AEP MSL INUNDATION

The Western Port Local Coastal Hazard Assessment (LCHA) provides information on the extent of coastal hazards and their physical impacts for the Western Port coastal environment. Information has been collected on inundation hazards (storm surge and catchment inflows) using modelling for different sea level rise scenarios. 
This data represents the extent of storm tide inundation for the 1% Average Exceedance Probability (AEP) storm tide for the current mean sea level (based on hydrodynamic modelling).

Details of the assumptions made in the derivation of this information can be found in project reports on the Our Coast website: http://www.ourcoast.org.au/cb_pages/resources.php.
Users of this information should read these project reports to understand the limitations of the data.

Tags:  atmosphere,  meteorology, Climatology, Environment, Geoscientific information, Oceans
Organization: Department of Energy, Environment and Climate Action
Recreational Boating Facilities

Dataset containing recreational boating facilities including pier/jetty, boat ramp, marina, yacht club/motor boat club, multipurpose/safe haven each providing different services and functions. The features have been ranked by a hierachy delineated from Local, District and Regional and led to the development of the Boating Services Level Index (BSLI). The dataset was created for the recreational boating facilities framework document in Febuary 2014 and the Central Coastal Board (CCB).

Tags: Oceans
Organization: Department of Energy, Environment and Climate Action
2010 Index of Stream Condition - Fragmentation Reach Summary Table

The ISC2010_FRAGMENTATION_R table is the Statistical Summary table for the Fragmentation Metric at the Reach level.

The ISC2010_FRAGMENTATION_R table is designed to JOIN to the ISC2010_RIVER_CENTRELINES_R feature class.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography. 

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics. 

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics.
The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

Tags: Elevation, Imagery base maps earth cover, Inland waters, Transportation
Organization: Department of Energy, Environment and Climate Action
Leadbeater's Possum 200m buffer for confirmed colonies within Central Highlands RFA

The Leadbeater's Possum Advisory Group (LBPAG) established in 2013, was tasked with developing recommendations (actions) to support the recovery of Leadbeater's Possum (LBP) while maintaining a sustainable timber industry (LBPAG Recommendations Report, January 2014).

Bushfires in February 2009 and ongoing habitat decline have led to a reduced population of Leadbeater's Possum. The remaining wild populations is therefore critical to the species' recovery. 

Prior to the LBPAG there was no specific protection for known colonies. LBPAG recommended that colonies are protected to aid the capacity for the species to recover. This will be achieved by removing threats that can be directly controlled (e.g. timber harvesting) or implement programs that minimise the risk of unplanned impacts (e.g. bushfire).

Tags: Biota, Farming
Organization: Department of Energy, Environment and Climate Action
Victorian Aquifer Framework (VAF) Salinity Distribution - UTB_TDS

This dataset is the Victorian Aquifer Framework (VAF) Salinity Distribution. It refers to the salinity distribution for Aquifer Number of 101 (Upper Tertiary/Quaternary Basalt Aquifer). The salinity distributions reflect the beneficial use segments prescribed in the State Environment Protection Policy (Waters) (2018)
Please refer to the master metadata record VAF 'Victorian Aquifer Framework (VAF) Salinity Distribution for detailed information.

Tags: Geoscientific information, Inland waters
Organization: Department of Energy, Environment and Climate Action
Sediment Bores Free Air (FA) gravity

This dataset comprises all basement boreholes which have reached bedrock by passing through sedimentary sequences used for bore control of Free Air (FA) gravity data. These boreholes have been used to give better control for interpolating to FA gravity data.

The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

Tags: Geoscientific information, Inland waters
Organization: Department of Energy, Environment and Climate Action
Fire History Records of Fires across Victoria

This layer represents the spatial extent of fires recorded since 1903 primarily on public land. The layer includes bushfires and DELWP planned burn information. Since 2006 fire severity data has been included in the Fire History dataset. CFA data on fires occurring on private land has also been included since 2009.

This data set was updated in August 2023 and includes season 22/23. No severity data for Gippsland for 18/19 and 19/20 is included in this current version.

This dataset presents aggregated historic fire severity classification from 1998 onward for wildfires. It currently has all of the fire sev classification done from FIRE_SEV98 to FIRE_SEV09 as well as Grampians victoria valley complex 2013 and Grampians northern complex 2014 (additional years of severity mapping will be added to this dataset as they become available). 
 Datasets has been reclassified using the Level 2 Classification described in the Post fire Burn Classification Procedure SOP v.1.0 (FEMD, 2014). Season 2019/20 has been included except for Gippsland. Currently 2018/19 is still to be incorporated.
Aggregating the old (more detailed) historic severity classes into the current broad level 2 classes is a more conservative approach than aggregating them into the current level 3 classes. . The reason for this approach is that the percentages for the degree of crown scorch do not line-up closely enough to directly transfer the old classes into the new level 3 classes. In all of the classification work documented above, canopy burn remains the highest severity level, canopy scorch is divided up in the levels below this depending on a description or percentage range.
In this coverage the most resent (last burnt) severity mapping is displayed, however, where an area has had previous fire events they can be mapped out (interrogated) by using definition query or attribute query or other GIS techniques. 
Severity classification of non-forest areas: 
In 2003 (Alpine fire), 2005 (Wilson's Promontory Fire), 2006 (Grampians Ballarat and Moondarra fires), 2007 (Little Desert and Boulder Creek fires) 2009 (Kilmore - Murindindi fires) polygons have been reclassified to the following classes:

Burnt = High Severity
Scorched and Burnt = High Severity
Partially Burnt = Medium Severity 
Scorched and Unburnt = Low Severity
Unburnt = Unburnt
Unclassified = Unclassified

Tags: Environment
Organization: Department of Energy, Environment and Climate Action
Vicmap Reference - Metadata Shapefile Column Mapping Table

Part of VMREFTAB, the set of Reference Tables for the Victorian Spatial Data Libary (VSDL) suite of products. 

The MD_COLUMN_NAME_MAPPING table maps VSDL object column names that are longer than 10 characters to column names that are less than 11 characters long. 

This mapping supports the generation and importing of shapefiles whose column names cannot be longer than 10 characters.

In some instances, column name mapping may be explicitly applied to a table. In most instances the default column name mapping will be applied (TABLE_OWNER and TABLE_NAME equal to "_DEFAULT").

Unique mapping of column names for an object is assured when using this table.

Tags: Planning cadastre
Organization: Department of Transport and Planning
Lineaments interpreted from Radiometric Data

This dataset was derived using 50m gridded radiometrics data including:

Plain raster images of individual channels (TC, K, Th &amp; U)
Individual channels (TC, K, Th &amp; U) draped over topography
RGB false colour images of K (red), Th (green) and U (blue) with and without topography and lineaments and compared to topography and lineaments.

(where Total Count - TC, Potassium - K, Thorium - Th and Uranium -U) .

The interpretation was completed on a regional or sub-regional scale using geophysical remote sensing techniques. By combining the radiometrics and topography datasets, a pseudo-geomorphology is created. The radiometrics respond to soil cover in first the 0.5m of depth. As soils may change across small fault boundaries, radiometric lineaments bear the best relationship with topographic lineaments. From the various radiometric outputs the following key observations have been made:

The ENE-WSW lineaments are evident but not as extensively as in the interpreted topographic dataset;
The NNW-SSE lineament datasets is most dominant in the radiometric data;
In the Otway Basin, many radiometric lineaments are parallel to the cost and are due to strandlines or basin faults;
In the Murray Basin, strandlines are obvious as they are evident in the topographic data;
In some cases, the soil radiometric chemistry changes across topographic lineaments, supporting the interpretation of topographic lineaments as evidence of small palaeo-fault movement.

The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

Tags: Geoscientific information, Inland waters
Organization: Department of Energy, Environment and Climate Action
GIPPSLAND LAKES 1% AEP 0.2M SLR INUNDATION

The Gippsland Lakes Local Coastal Hazard Assessment (LCHA) provides information on the extent of coastal hazards and their physical impacts for the Gippsland Lakes coastal environment.

This data represents the extent of the 1% Average Exceedance Probability (AEP) water level within the Gippsland Lakes, incorporating a +0.2m increase in mean sea level (MSL) conditions based on hydrodynamic modelling. The 1% AEP water level conditions comprise of a combination of catchment generated inflows, coastal ocean levels and wind setup.

Details of the assumptions made in the derivation of this information can be found in project reports on the Our Coast website: http://www.ourcoast.org.au/cb_pages/resources.php.
Users of this information should read these project reports to understand the limitations of the data.

Tags:  atmosphere,  meteorology, Climatology, Environment, Geoscientific information, Oceans
Organization: Department of Energy, Environment and Climate Action
Regolith Detail type lines (1:50,000)

The data contains primary geological data, namely regolith-landform units and boundary types separating regolith-landform units.

The dataset is part of the geological mapping dataset, which includes datasets representing geological rock units and boundaries, regolith-landform units and boundaries, structural lines, miscellaneous lines and points, miscellaneous polygons, metamorphism and placer deposits.

The data have been collected by the Geological Survey of Victoria. Data have been captured in projects covering special interest areas, and have been recorded in the field by hand at scales between 1:10,000 and 1:25,000 then prepared for hard copy printing at a range of scales.

Tags: Geoscientific information
Organization: Department of Energy, Environment and Climate Action
Vicmap Admin - Country Fire Authority (CFA) District Polygon

Part of the Vicmap Admin dataset series. This layer contains polygon features delineating the current Country Fire Authority District Boundaries.

CFA has moved to align their administrative boundaries to the Victorian Government Regional Departmental Boundaries and Victorian Local Government Boundaries. As a result of this direction, from 1st July 2010, what was once known as CFA Regions will now be known as CFA Districts.

Originally there were 20 Districts in this dataset. A new district (District 27) was added on 29 October 2015 bringing the total to 21 Districts.

The Districts are based on Victorian Local Government Boundaries. There are two exceptions in this dataset. In June 2011, Bass Coast Shire became part of District 8 when the Victorian Government Regional Departmental Boundaries indicated that it should be part of District 9. In October 2012, Yarriambiack Shire was divided using the east-west rabbit fence (same
as the Total Fire Ban District Boundary) which impacts on the District 17 and 18 Boundary.

Tags: Boundaries, Environment, Transportation
Organization: Country Fire Authority
Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) - 2070 - 0.5m SLR

The Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) is a digital dataset consisting of multiple spatial layer outputs from modelled erosion scenarios. The dataset is recommended for use at the statewide / regional scale along the Victorian coastline. Application of the data should be guided by the accompanying Victorian Coastal Cliff Assessment technical reports and expert advice. The product is not suitable for individual property scale assessments. 

Consolidated shorelines, which include soil and rock cliffs, are not able to rebuild following periods of erosion but rather are subject to a one-way process of degradation. ASCCIEs typically have two components:

• Toe Erosion
A gradual retreat of the cliff toe caused by weathering, marine and bio-erosion processes. This retreat will be affected by global process such as sea level rise and potentially increased soil moisture. Future cliff toe position based on historical erosion rates with a factor applied to allow for the effect of future sea level rise.

• Cliff Instability
Episodic instability events are predominately due to a change in loading or material properties of the cliff or yielding along a geological structure. In soft cliffs, instability causes the cliff slope to flatten to a slope under which it is “stable” (geo-mechanically). Soil cliff slope instabilities are influenced by processes that erode and destabilise the cliff toe, including marine processes, weathering and biological erosion or change the stress within the cliff slope. Most of the hard cliffs are stable at very steep angles. Instability events may range from small-scale instabilities (block or rock falls) or discontinuities, to cliff slope instability cause by large-scale and deep-seated mass movement. The latter mode of failure in hard cliffs is rare.

The product is an update to the Victorian Coastal Cliff Assessment, Stage 1. Included datasets for Stage 2a supersede the Stage 1 outputs. The Stage 2a project report should be read in conjunction with the Stage 1 report. Application of the data should be guided by the accompanying "Victorian Coastal Cliff Assessment, Stage 2a technical report" (Tonkin &amp; Taylor 2025) read in conjunction with the Stage 1 technical report, combined with appropriate expert advice.

Tags: Environment, Oceans
Organization: Department of Energy, Environment and Climate Action
Victorian Land Use Information System 2008/2009

The Victorian Land Use Information System (VLUIS) dataset has been created by the Spatial Information Sciences Group of the Agriculture Research Division in the Department of Economic Development, Jobs, Transport, and Resources. The method used to create VLUIS is significantly different to traditional methods used to create land use information and has been designed to create regular and consistent data over time. It covers the entire landmass of Victoria and separately describes the land tenure, land use and land cover for each cadastral parcel across the state, biennially for land tenure and use and annually for land cover; for each year from 2006 to 2015. The data is in the form of a feature class. 

To use the VLUIS data correctly it is important to understand the difference between the three components of VLUIS. The Guidelines for land use mapping in Australia: principles, procedures and definitions, Edition 3 published in 2006 by the Commonwealth of Australia, defines them as follows: 
Land tenure is the ownership and leasehold interests in land (VLUIS only reports ownership). Land use means the purpose to which the land cover is committed or the property type. Land cover refers to the physical surface of the earth, including various combinations of vegetation types, soils, exposed rocks and water bodies as well as anthropogenic elements, such as agriculture and built environments. 
The Victorian Land Use Information System (VLUIS) is an ongoing project designed to maintain and manage the Victorian land use mapping dataset.

The methodology is still being refined and as such the dataset is subject to improvements and the release of later versions. It is important you speak to the custodian to be advised of the technical details of the dataset and its utility for your desired use. 

Irrigation activity is included when available. The data was not available in 2006-07 and there was incomplete coverage in 2012-13 and therefore the irrigation activity was not included in either of those datasets.

Land cover classification accuracy varies between classes and the overall classification accuracy may be misleading in terms of the accuracy of an individual class. Users are asked to contact the data custodians for detailed class accuracy information if required for their purposes.

The dataset does not replace LandUse100 which is still valid for the time in which it was created (1996 - 2005).

A metadata statement, for the VLUIS 2008/09 product, and ESRI symbology files for the data can be freely downloaded from the VLUIS project page:
http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/vluis

DOI: http://dx.doi.org/10.5061/dryad.n08t0

Tags: Farming, Society
Organization: Department of Energy, Environment and Climate Action
Vicmap Land Administration Themes - Parcel Table

This layer contains aspatial details for all legal parcel boundaries in Victoria, both freehold and crown. A parcel is defined as the smallest area of land capable of sale without further approval to subdivide. It may consist of more than one piece. Parcels are described by a parcel description (either lot/plan or allotment/section/parish).

This dataset s a raw superset of VMPROP_PARCEL It shows the current and retired states of each feature instance. It supports feature versioning (UFI_RETIRED) and enables feature edting chaining (UFI_OLD).

It includes:
- Parcel Identifiers, both freehold and crown;
- Registered and proposed status;
- Crown and Freehold land differentiation;
- Council reference numbers;
- LGA code;
- Unique Feature Identifiers, date stamps and data quality information.

Tags: Boundaries, Environment, Planning cadastre
Organization: Department of Transport and Planning
Vicmap Crown Land Tenure

Vicmap Crown Land Tenure is a statewide dataset series that plays a key role in the management of Victoria's Crown land. It was created (June 2003 - Feb 2004) from migrating LCMP layers into the Vicmap structure.
The layer provides information about the Private use of Crown land Parcels and Crown Roads. CL_TENURE_VIEW contains a number of Tenure types including:
- (A) Agricultural including Unused Road licences, Water Frontage licences and Grazing licences,
- (L) Lease including Commercial type leases,
- (G) General Licences including miscellaneous community use licences, permits &amp; consents
- (P) Pipe including Water supply pipelines,
- (RM) Reserve including land gazetted as a Reserve in Government Gazettes,
- Tenure Identifiers, Tenure type identifiers and Tenure code identifiers.
The database is continually maintained, obtaining maintenance from authoritative sources within State Government.

Datasets in the series are listed below. See their metadata entries for more detailed metadata.
Tenure boundaries and descriptors as per Crown Land Management - Vicmap Crown Land Tenure (CL_TENURE_VIEW);
Government Roads as per Crown Land Management - Vicmap Crown Land Tenure (GOV_ROAD_POLYGON);

Tags: Environment, Society
Organization: Department of Transport and Planning