AndreaBozzo/ceres-open-data-index huggingface dataset:
NSW Government-subsidised vocational education and training (VET) commencements and completions delivered through Smart and Skilled (2015 - 2026)

<ul>
<li>

Smart and Skilled is a NSW Government program that provides subsidised training to help people get training in in-demand skills and industries. 
</li>
<li>

The data is of students who have started and completed Smart and Skilled funded courses since 2015.
</li>
<li>

Current financial year data is year to date, as at the date of extraction.
</li>
<li>

This data is also used in the <a href="https://app.powerbi.com/view?r=eyJrIjoiN2Q0YzcyMzEtYzBhNC00OTlhLWI0YzUtNzAwZThlZjY2ZWM2IiwidCI6IjA1YTBlNjlhLTQxOGEtNDdjMS05YzI1LTkzODcyNjFiZjk5MSJ9">VET Public Dashboards</a> where it is presented in an interactive format that allows users to filter and sort.
</li>
</ul>

Tags: aboriginal-education, disability-education, level-region, skills-and-post-school-learning
Organization: NSW Department of Education
Earth Observation Summer Irrigated Crop Areas




This dataset contains a satellite observed timeseries of the extent of irrigated summer crop areas in NSW from present day, back to 1987. 
Observations have been derived from medium-resolution multi-spectral satellite imagery (30m/pixel Landsat with a 16 day return interval and 10 m/pixel Sentinel-2 with a 5 day return interval). 
The presence of irrigated crops is derived from the   application of the Normalised Difference Vegetation Index (NDVI), which quantifies vegetation density and health based upon the reflectance of red and near-infrared light in multispectral satellite imagery.  
Expert opinion is then applied to qualify whether a field was irrigated, based on its greenness relative to the surrounding landscape throughout the summer season (December to April). The polygons are delineated in a semi-supervised manner and are accurate to the closest hectare. 
 
It should be noted images captured in December may reflect signs of water application representative of irrigated areas, but on account of limited visible greenness from emerging crops may not be included.  

Tags: DCCEEW - Water, DCCEEW - Water Analytics, Remote Sensing, irrigated, irrigated crops, summer
Organization: Spatial Services (DCS)
Baselines for Soil Health and Stability in NSW RFA Regions: Baseline Soil Maps

<a href="https://portal.spatial.nsw.gov.au/static/exportcontent.html?featureservername=Baseline_Soil_Maps&amp;title=Baselines for Soil Health and Stability in NSW RFA Regions: Baseline Soil Maps&amp;wgs84Eqv=Other&amp;url=https://portal.spatial.nsw.gov.au/portal/sharing/servers/c2880538b70e4fb7a55e3bbe2a2ccb28/rest/services/Baseline_Soil_Maps/MapServer">Export Data</a><a href="https://portal.data.nsw.gov.au/arcgis/rest/services/Baseline_Soil_Maps/MapServer">Access API</a>


The Forest Monitoring Steering Committee commissioned a consortium between the NSW Department of Planning, Industry and Environment and the University of Sydney to deliver Baselines, Drivers and Trends for soil stability and health in forest catchments across the NSW Regional Forest Agreement areas.

<a href="https://www.nrc.nsw.gov.au/fmip-baselines-soil-and-water-projectsw2">Find out more about the project here.</a>
<b></b>
<b>Baseline Soil Maps: </b>Digital Soil Modelling (DSM) outputs describing the baseline conditions of key indicators of soil condition, based on quantitative modelling techniques that relate known soil qualities with known environmental qualities and extrapolates using continuous environmental data.


Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>
Content TitleBaselines for Soil Health and Stability in NSW RFA Regions: Baseline Soil MapsContent TypeScene Layer/Scene Layer PackageDescription
Digital Soil Modelling (DSM) outputs describing the baseline conditions of key indicators of soil condition, based on quantitative modelling techniques that relate known soil qualities with known environmental qualities and extrapolates using continuous environmental data.Initial Publication Date14/06/2022Data Currency14/06/2022Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number

Tags: NRC
Organization: Spatial Services (DCS)
Temporal activity of wolf spiders and dunnarts in the Simpson Desert

The lesser hairy-footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. This project tested the hypothesis that this disproportionate predation is a product of frequent encounter rates between the interactants due to high overlap in their diets and use of space and time. This data set focuses on overlap in the diel acttivity patterns wolf spiders (<i>Lycosa spp.</i>) and the lesser hairy-footed dunnart (<i>Sminthopsis youngsoni</i>) in the Simpson Desert, south-western Queensland Australia. To quantify the temporal activity of lycosids, spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights. Additionally, remote camera traps were deployed to further quantify patterns in the activity of lycosids and S. youngsoni. Twenty-four Reconyx PC800 HyperfireTM cameras were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment). Images were tagged with camera location, position, angle, camera ID number, species and confidence and date and time data were extracted from each image. This data was used to identify mean activity times for each species (with confidence intervals) and to assess overlap in nocturnal activity patterns between lycosids and S. youngsoni, and thus the potential for competition and predation using the Overlap v 0.2.7 package in R. This data presents a useful example for investigating how the 'Overlap' package works and the benefits it provides.

Tags: Arid ecology, Lesser hairy-footed Dunnart, Predator-Prey Interactions, Wold Spiders
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Significant Wetlands for Unregulated River Water Sharing Plans Inland NSW

<a href="https://portal.spatial.nsw.gov.au/static/exportcontent.html?featureservername=Significant_Wetlands_for_Unregulated_River_Water_Sharing_Plans_Inland_NSW&amp;title=Significant_Wetlands_for_Unregulated_River_Water_Sharing_Plans_Inland_NSW&amp;wgs84Eqv=GDA94&amp;url=https://spatialportalarcgis.dpie.nsw.gov.au/sarcgis/rest/services/Water/Significant_Wetlands_for_Unregulated_River_Water_Sharing_Plans_Inland_NSW/MapServer">Export Data</a><a href="https://spatialportalarcgis.dpie.nsw.gov.au/sarcgis/rest/services/Water/Significant_Wetlands_for_Unregulated_River_Water_Sharing_Plans_Inland_NSW/MapServer">Access API</a>
Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>
Content TitleSignificant Wetlands for Unregulated River Water Sharing Plans Inland NSWContent TypeOtherDescriptionThis data generates an interactive map of significant wetlands in the Inland NSW.Initial Publication Date28/08/2024Data Currency28/08/2024Data Update FrequencyAPIContent SourceAPIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change Energy, Environment and WaterPoint of ContactNSW Department of Climate Change Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: DCCEEW - Water, DCCEEW - Water Analytics, DCCEEW - Water Planning Implementation, Significant Wetlands, Water Sharing Plan
Organization: Spatial Services (DCS)
School Infrastructure Public

<a href="https://portal.spatial.nsw.gov.au/static/exportcontent.html?featureservername=School_Infrastructure&amp;title=School Infrastructure Public&amp;wgs84Eqv=GDA94&amp;url=https://portal.spatial.nsw.gov.au/portal/sharing/servers/e88d459ed82645729f6df153c187297c/rest/services/Hosted/School_Infrastructure_Public/FeatureServer">Export Data</a> <a href="https://portal.data.nsw.gov.au/arcgis/rest/services/Hosted/School_Infrastructure_Public/FeatureServer">Access API</a><a href="https://portal.data.nsw.gov.au/arcgis/rest/services/Hosted/School_Infrastructure_Public/FeatureServer"> </a>

Source URL: <a href="https://www.schoolinfrastructure.nsw.gov.au/explore.html">https://www.schoolinfrastructure.nsw.gov.au/explore.html</a>






TypeHosted                                                                       Update FrequencyQuarterlyContact Details<a href="mailto:schoolinfrastructure@det.nsw.edu.au">schoolinfrastructure@det.nsw.edu.au</a> Relationship to Themes and Datasets Accuracy Standards and Specifications Aggregators<a href="https://www.schoolinfrastructure.nsw.gov.au/">School Infrastructure NSW</a>Distributors<a href="https://www.schoolinfrastructure.nsw.gov.au/">School Infrastructure NSW</a>Dataset Producers and Contributors<a href="https://www.schoolinfrastructure.nsw.gov.au/">School Infrastructure NSW</a>

Tags: School Infrastructure
Organization: Spatial Services (DCS)
Specialist support classes by school and support needs type

This dataset is an indication of current support classes operating in NSW public schools. It is not a definitive list of support classes available. 

<strong>Data notes:</strong>
<ul>
<li>

Data is for government schools and is updated at the beginning of each term. 
</li>
<li>

Classes will only appear in this dataset if one or more students is enrolled in the class.
</li>
<li>

Parents and carers are advised to contact their local public school to discuss all support options available. Applications for support placement are through the Access Request process. An Access Request is usually arranged by the school learning and support team at the local public school, but can also be organised through the local School Services team if a child is not yet enrolled.
</li>
<li>

Support types included are: 
<ul>
<li>Mild intellectual disability (IM)</li>
<li>Moderate intellectual disability (IO)</li>
<li>Severe intellectual disability (IS)</li>
<li>Range of disabilities with similar support needs (MC multi categorical)</li>
<li>Autism (Au)</li>
<li>Autism and/or moderate intellectual disability (IO/Au)</li>
<li>Physical disability (P)</li>
<li>Behavioural issues (BD)</li>
<li>Mental health issues (ED emotional disturbance)</li>
<li>Blind or vision impaired (V)</li>
<li>Deaf or hearing impaired (H)</li>
<li>DeafBlind impaired (DB)</li>
<li>Disability support prior to school (EI early intervention) </li>
</ul>
</li>
</ul>

<strong>Data source:</strong>
<ul>
<li>Disability, Learning and Support. NSW Department of Education.</li>
</ul>

Tags: disability-education, government-schools, level-school, student-administration-and-wellbeing
Organization: NSW Department of Education
Australian Soil Carbon Sequestration Potential, 2023

Soil is a huge carbon (C) reservoir, but where and how much extra C can be stored is unknown. Here, using 5089 observations, we estimated that the uppermost 30&nbsp;cm of Australian soil holds 13&nbsp;Gt (10–18&nbsp;Gt) of mineral-associated organic carbon (MAOC). Using a frontier line analyses, described in Viscarra Rossel et al. (2023), we estimated  the  maximum amounts of MAOC that Australian soils could store in their current environments, and calculated the MAOC deficit, or C sequestration potential. We propagated the uncertainties from the frontier fitting and mapped the estimates of these values over Australia using machine learning and kriging with external drift (KED). The maps show regions where the soil is more in MAOC deficit and has greater sequestration potential. The modelling shows that the variation over the whole continent is determined mainly by climate, linked to vegetation, and soil mineralogy. We find that the MAOC deficit in Australian soil is 40&nbsp;Gt (25–60&nbsp;Gt). The deficit in the vast rangelands is 20.84&nbsp;Gt (13.97–29.70&nbsp;Gt) and the deficit in cropping soil is 1.63&nbsp;Gt (1.12–2.32&nbsp;Gt). Our findings suggest that the C sequestration potential of Australian soil is limited by climate.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Central Queensland Coast Bioregion Spatial BioCondition, 2021, Version 2.0

This is a spatial dataset comprising predictions of vegetation condition for biodiversity for the Central Queensland Coast bioregion. The dataset was created using a gradient boosting decision tree (GBDT) model based on 10 vegetation-specific remote sensing datasets and 7,938 training sites of known vegetation community and condition state across Southeast Queensland, Brigalow Belt and Central Queensland Coast bioregions. Condition score was modelled as a function of distance in the remote sensing (RS) space within homogeneous vegetation communities. The product is intended to represent predicted BioCondition for 2021 rather than any singe date.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Poaceae Data from TERN AEKOS Repository, 2014

The dataset can be reused for contintental-wide synthesis of the cover of Australian grasses. It consists of high quality, well-described plot-based data extracted from TERN AEKOS repository on 13/3/2014 (now decomissioned). The data includes vegetation records for the Poaceae family from the following dataset: ABARES Ground Cover Reference Sites Database, Biological Survey of South Australia - Vegetation Survey, Biological Database of South Australia, Corveg (Queensland), TERN AusPlots Rangelands Survey Program, Biological Survey of the Ravensthorpe Range (Western Australia).The entire content of the portal was initially extracted using the portal's download feature to obtain the full extent of available data for the following all datasets. These data were loaded into a PostgreSQL database. Subsequently, a SQL query was built for each of the cited datasets which produced a flat table containing information about the survey name, site identifier, visit date, coordinates, species, abundance, biomass and/or cover class, filtering on species of the Poaceae family using a genus list obtained from the website of the Atlas of Living Australia (http://www.ala.org.au/).

Tags: Acacia Forests and Woodlands, Acacia Open Woodlands, Acacia Shrublands, Bioregional Inventory, Callitris Forests and Woodlands, Casuarina Forests and Woodlands, Chenopod Shrublands, Eucalypt Low Open Forests, Eucalypt Open Forests, Eucalypt Open Woodlands, Eucalypt Tall Open Forests, Eucalypt Woodlands, Heathlands, Hummock Grasslands, Low Closed Forests And Tall Closed Shrublands, Mallee Open Woodlands And Sparse Mallee Shrublands, Mallee Woodlands And Shrublands, Melaleuca Forests and Woodlands, Other Forests and Woodlands, Other Grasslands, Herblands, Sedgelands And Rushlands, Other Open Woodlands, Other Shrublands, Poaceae, Regrowth, Modified Native Vegetation, Samphire Shrublands And Forblands, Species Composition, Tropical Eucalypt Woodlands/Grasslands, Tussock Grasslands
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Mainland thylacine and devil radiocarbon dates, 2013 – 2015

This dataset comprises of new, high precision radiocarbon dates for 20 mainland thylacines and 24 mainland devils. Metadata includes museum accession numbers and origin of specimens. We envision that this dataset could be used in studies of paleo-ecological reconstructions and for estimating extinction time for both devils and thylacines on mainland Australia. This dataset includes the youngest reliable fossil ages for both species on mainland Australia as per the criteria set out in Rodriguez-Rey at al (2015). <i>"Criteria for assessing the quality of Middle Pleistocene to Holocene vertebrate fossil ages."</i> Quaternary Geochronology 30 (2015): 69-79.

Tags: <i>Sarcophilus harrisii</i>, <i>Thylacinus cynocephalus</i>, Biodiversity Inventory, Climate And Climate Change (9603), Marsupial, Species Decline
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Whroo Dry Eucalypt Site, Five Photopoint Image Collection

High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints are taken using the five point photo-point method. The set of images for usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the center of the plot facing each corner. 

The site was established in 2010 in box woodland dominated by <em>Eucalyptus microcarpa</em> (grey box) and <em>Eucalyptus leucoxylon</em> (yellow gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/whroo-dry-eucalypt-supersite/.

Other images collected at the site include digital hemispherical photography, phenocam time-lapse images taken from fixed overstorey cameras and ancilliary images of fauna and flora.

Tags: TERN Ecosystem Processes, vicd_whroo
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Ecosystem Surveillance: Photopoint Panoramic Images

Images are taken at sites across Australia by the TERN Ecosystem Surveillance team, using standardized AusPlots methodologies.


 High-quality digital images are captured using a digital SLR camera at each rangeland vegetation plot. Three photopoints are established configured in an equilateral triangle (2.5&nbsp;m sides) with the center marked with a star dropper at the center of the plot, and the three photopoints recorded with GNSS/DGPS. At each photopoint a 360° panorama photographic sequence is taken, with up to 40 photographs with a minimum 50% overlap between consecutive photographs. The panoramic photopoint method may be most informative in open forests/woodlands and rangelands. 


See <a href="https://ternaus.atlassian.net/wiki/spaces/TERNSup/pages/1193738270/AusPlots+Rangelands+Manual+v1.2.9">AusPlots Rangelands </a>Photo-panoramas for more information on this method.

Tags: Photopoint Panoramic Images
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Daintree Rainforest, Cape Tribulation Acoustic Data Collection - TERN

This dataset contains audio files for Daintree Rainforest SuperSite, Cape Tribulation. The site is located at the Daintree Rainforest Observatory in lowland complex mesophyll vine forest near Cape Tribulation. The site has more than 80 species including canopy trees belonging to the <em>Arecaceae, Euphorbiaceae, Rutaceae, Meliaceae, Myristicaceae</em> and <em>Icacinaceae</em> families. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/daintree-rainforest-supersite">Daintree Rainforest SuperSite</a>


In 2012 an acoustic recorder was set up to collect audio data for a total of 12 hours per day, split between six hours around dawn and six hours around dusk. The recording schedule aimed at capturing morning and evening bird choruses while minimizing memory and battery requirements. A long-term spectrogram has been generated for each audio file to aid in data exploration. The sensor also recorded temperature, minimum- maximum- and mean-sound pressure levels.


Acoustic indices and false colour spectrograms were created for the recordings. Acoustic indices are summaries of the distribution of the acoustic energy in a recording. They are particularly useful for the analysis of long-term recordings of the environment and can be used to identify sound sources of interest, characterise the soundscape, aid in the assessment of fauna biodiversity, monitor temporal trends and track environmental changes. False colour spectrograms are visual representation of individual acoustic indices or combination of multiple indices. They can highlight the presence of specific sound sources, e.g. birds, insects or weather events, providing a tool for navigating long-term recordings.


Data are made available through the data link. For downloading large amount of data, please follow these instructions <a href="https://ternaus.atlassian.net/wiki/spaces/TERNSup/pages/2530148353/How+to+download+TERN+s+acoustic+data+in+bulk">How to download TERN's acoustic data in bulk</a>

Tags: Acoustic recordings, capetrib
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Available Phosphorus (3" resolution) - Release 1

This is Version 1 of the Australian Available Phosphorus product of the Soil and Landscape Grid of Australia.

The map gives a modelled estimate of the spatial distribution of available phosphorus in soils across Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5&nbsp;cm, 5-15&nbsp;cm, 15-30&nbsp;cm, 30-60&nbsp;cm, 60-100&nbsp;cm and 100-200&nbsp;cm. These depths are consistent with the specifications of the GlobalSoilMap.net project - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf">GlobalSoilMaps</a>. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90&nbsp;m pixels).

Detailed information about the Soil and Landscape Grid of Australia can be found at - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html">SLGA</a>
<ul><li>Attribute Definition: Available Phosphorus
</li><li>Units: mg/kg;
</li><li>Period (temporal coverage; approximately): 1970-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx 90&nbsp;m);</li>
<li>Total number of gridded maps for this attribute: 18;</li>
<li>Number of pixels with coverage per layer: 2007M (49200 * 40800);</li>
<li>Data license: Creative Commons Attribution 4.0 (CC BY);</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF.</li></ul>

Tags: 3-dimensional soil mapping, Attribute, Available, Continental, DSM, Digital Soil Mapping, Global Soil Map, Phosphorus, Raster, SLGA, Soil, Soil Maps, Spatial modelling, Spatial uncertainty, TERN, TERN_Soils, TERN_Soils_DSM
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Warra Tall Eucalypt Relative Vascular Plant Cover Data

This data contains relative species cover of vascular plants in plots of either mature tall, wet eucalypt forest or of 25-50 year-old silvicultural regeneration following clearfell harvesting in the Warra Tall Eucalypt site between 2010 - 2011

Tags: Disturbance, Eucalypt obliqua, Forest management, Mature forest, Southern Forests Experimental Forest Landscape, Vascular plants, Warra
Organization: Terrestrial Ecosystem Research Network's Data Discovery