AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil and Landscape Grid National Soil Attribute Maps - Depth of Regolith (3" resolution) - Release 2

This is Version 2 of the Depth of Regolith product of the Soil and Landscape Grid of Australia (produced 2015-06-01).

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90&nbsp;m pixels).
<ul><li>Attribute Definition: The regolith is the in situ and transported material overlying unweathered bedrock;</li>
<li>Units: metres;</li>
<li>Spatial prediction method: data mining using piecewise linear regression;</li>
<li>Period (temporal coverage; approximately): 1900-2013;</li>
<li>Spatial resolution: 3 arc seconds (approx 90&nbsp;m);</li>
<li>Total number of gridded maps for this attribute: 3;</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>Variance explained (cross-validation): R^2 = 0.38;</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF;</li></ul>

Tags: 3-dimensional soil mapping, Continental DSM, DSM, Digital Soil Mapping, Global Soil Map, Raster, SLGA, Soil Maps, Spatial modelling, TERN_Soils, TERN_Soils_DSM, spatial uncertainty, visible-near infrared spectroscopy
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Far North Queensland, Leaf Level Physiology, Chemistry and Structural Traits Data, Robson Creek Site, 2012

This record contains data on the leaf level physiology, chemistry and structural traits from the Robson Creek Site, Far North Queensland measured in 2012. There are two data sets provided: 1) response variables containing parameters associated with photosynthetic light response curves (Al) and 2) response variables containing parameters associated with photosynthesis and intercellular carbon dioxide curves (ACi).

Tags: Ecophysiology, Far North Queensland, Robson Creek, leaf chemistry
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Mallee Site, Monthly Rainfall Data 1995-2011, Calperum Station

The record contains information on rainfall data recorded between 1995-2011 from 17 rain gauges across the Calperum Mallee Site, Calperum Station, South Australia.
Data on mean monthly and annual rainfall and standard deviation is provided for each site, along with annual rainfall totals.

Tags: Calperum Station, Rainfall
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Site, Far North Queensland, Moth Inventory At Canopy and Ground Level, 2009-2011

The record contains information on the moth assemblages at canopy and ground level at five sites within a 25 ha plot, at Robson Creek Site, Far North Queensland. Data on moth taxonomic information and the number of individuals sampled from the ground and canopy are provided for the sampling years, 2009, 2010 and 2011.

Tags: Canopy and Understory, Far North Queensland, Moth Diversity
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Daintree Rainforest, Cape Tribulation Weather Station Data 2006 - 2014

Data on weather conditions at the Daintree Rainforest, Cape Tribulation site collected between 2006 - 2014.  Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.

Tags: Australian Canopy Crane Research Facility, Australian canopy crane, Automatic weather station, Cape Tribulation, Climate, Daintree Rainforest Observatory, FNQ Rainforest, Weather
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tumbarumba Wet Eucalypt Vegetation Structure Data, 2015

This data contains a once-off general structural description according to the National Vegetation Information System (NVIS) level 5 for the core 1 hectare plot in the Tumbarumba Wet Eucalypt site in 2015. Dominant growth form, cover, height and species (up to 5 species in order of dominance) for up to 3 sub-stratum per traditional strata (Ground, Mid and Upper).

Tags: Structure, Tumbarumba, Vegetation
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Revegetation Rewilds the Soil Bacterial Microbiome of an Old Field - Part-2: Soil Chemistry

The dataset provides information on soil chemistry from a 10 year chronosequence sample of restoration in southern Australia. The parameters include: A) Physical properties- Soil moisture (%), Gravel (%) - ( &gt;2.0 mm), Soil Texture, i.e.Course Sand (%) (200-2000 µm), Fine Sand (%) - (20-200 µm), Sand (%), Silt (%) (2-20 µm), Clay (%) (&lt;2 µm), and B) Chemical properties- such as, Ammonium Nitrogen (mg/Kg), Nitrate Nitrogen (mg/Kg), Phosphorus Colwell (mg/Kg), Potassium Colwell (mg/Kg), Sulphur (mg/Kg), Organic Carbon (%), Conductivity (dS/m), pH (CaCl2), pH (H2O), DTPA Copper (mg/Kg), DTPA Iron (mg/Kg), DTPA Manganese (mg/Kg), DTPA Zinc (mg/Kg), Exc. Aluminium (meq/100g), Exc. Calcium (meq/100g), Exc. Magnesium (meq/100g), Exc. Potassium (meq/100g), Exc. Sodium (meq/100g) and Boron Hot CaCl2 (mg/Kg). 
This data would have application for land managers. The soil chemistry data is also related to the eDNA OTU table published on "https://doi.org/10.4227/05/5878480a91885", titled "Revegetation rewilds the soil bacterial microbiome of an old field. Part 1: OTU raw data matrix", and as such it would have an appeal to researchers undertaking a meta-analysis on eDNA and restoration outcomes.

Tags: Restoration Ecology, Soil Ecology, Soil Nutrients/Chemistry, Soil Salinity, Soil Texture, Soil pH
Organization: Terrestrial Ecosystem Research Network's Data Discovery
NSW Forest Monitoring and Improvement Program Post-Fire Debris Flow Mapping in the Tumut and Tuross Catchments

The dataset consists of spatial data showing locations of channel incision points (CIP) and sediment deposition in burned study sites in the Tumut and Tuross Catchment study regions. 

This dataset includes aerial imagery captured 1-2 years after the 2019/20 bushfires of the study regions from which the locations of CIPs and sediment deposits were determined, and gridded landscape attribute information used to test the spatial association between landscape attributes and CIP density.

Refer to the following NRC report 'Post fire debris flow mapping - Coastal IFOA monitoring program - June 2023', which is included in the dataset, for background and further detail.

Tags: Bushfire, Channel heads, Erosion, Gullies, Imagery, Post-fire erosion, Sediment deposition
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Camera Trap Images from Robson Creek Rainforest SuperSite

High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the Robson Creek site. 
Two camera traps were deployed at the site between 17-03-2018 and 25-07-2018. The first camera located in proximity to the acoustic sensor SM2/SM4 which is around 100m from the flux tower and at a height of 1.5 meter above ground, on a star picket. The second camera located for a short while near the tower (10 meter) and was attached on a bungy cord tied to a tree, at a height of 0.3 meter above ground.

The Robson Creek site lies on the Atherton Tablelands in the wet tropical rain forests of Australia at 680-740 m elevation. It is situated in Danbulla National Park within the Wet Tropics World Heritage Area. The Wet Tropics Bioregion of Australia is situated on the north-eastern coast of Queensland, between Cooktown to the north and Townsville to the south. Approximately 40% (7200 km2) of the region is covered by rain forest. Features of the region include very high plant and animal endemism, characteristics of both Gondwanan and Indo-Malaysian forests, and frequent cyclonic disturbance. The site includes core 1 ha plot (100 m x 100 m) which is located within the fetch of the flux tower and is the focal site of recurrent monitoring, and 25 ha vegetation survey plot. The vegetation survey plot has been set up for inclusion in the Smithsonian Tropical Research Institute’s Center for Tropical Forest Science – Forest Global Earth Observatory (CTFS-ForestGEO) global network of forest research plots. 

For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/robson-creek-rainforest-supersite/ .  Other images collected at the site include time-lapse images taken from 3 phenocams (above canopy).   Camera trap results for the TERN FNQ Rainforest SuperSite - Robson Creek, Jan - Feb 2017.

Tags: Simple Notophyll Vine Forest (SNVF), TERN Ecosystem Processes, camera trap, fnqr_robson
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Fletcherview Tropical Rangelands Soil Environmental DNA (eDNA) Dataset

This dataset contains soil microbial and genomic analysis files of 9 soil samples from each of three plots at Fletcherview, Northern Queensland (NQ) processed by the <a href="https://agrf.org/">Australian Genome Research Facility Ltd (AGRF) </a>. The files are available as compressed FastQ formatted sequence files.

For the nine Far North Queensland (FNQ) new plots (3 plots in Fletcherview and six plots at Wambiana), soil sampling additional to that done as component of plot installation by TERN have been undertaken. This is aligned with potential future exploratory work on soil eDNA proposed for WA. The protocol is a modified version of the <a href="https://doi.org/10.1186/s13742-016-0126-5">BASE sampling protocol</a>, combined with soil sampling as per <a href="https://www.tern.org.au/wp-content/uploads/TERN-Rangelands-Survey-Protocols-Manual_web.pdf">White et al. (2012)</a>. 

DNA extracted from the soil samples and Metagenomics 10Gbp (giga base pairs) bundle as per AGRF protocol.

Tags: genomics, metabarcoding, soil biodiversity, species presence
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Mitchell Grass Rangeland SuperSite Panoramic Photopoint Image Collection

High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Mitchell Grass Rangeland SuperSite using the panoramic photopoint method. The panoramic photopoint method may be the most informative in open forests/woodlands and rangelands. Three photopoints are established configured in an equilateral triangle (2.5m sides) with the centre marked with a star dropper and the location recorded with DGPS. At each photopoint take photographic sequences in a 360° panorama, with up to 40 photographs with a minimum 50% overlap between consecutive photographs. For more information about the method, see 
<a href="http://dx.doi.org/10.13140/2.1.4287.3607">White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9.</a> 

The Mitchell Grass Rangeland SuperSite is located at Rosebank Station approximately 11 km south-east of Longreach in Queensland. The site is arid tussock grassland with a variety of grass species including <em>Astrebla lappacea</em> and <em>Astrebla squarrosa</em> over black vertosol soil that supports sheep and beef cattle grazing. Traditional owners at this site are the Iningai people. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/mitchell-grass-rangeland-supersite/ .


Five-photopoint images are also collected at the site.

Tags: Core 1 ha, TERN Ecosystem Processes, arid tussock grassland, mgrl
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Digital Cover Photography (DCP) from TERN Litchfield Savanna SuperSite

Digital Cover Photography (DCP) upward-looking images are collected to capture vegetation cover within the core hectare at the Litchfield Savanna SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). 



The Litchfield Savanna SuperSite was established in 2013 in Litchfield National Park. Site selection was influenced by the history of long-term monitoring work undertaken in this area by the Darwin Centre for Bushfire Research (formerly Bushfires NT). The core 1ha plot is dominated by Eucalyptus miniata.  The site is representative of the dominant ecosystem type across northern Australia: frequently burnt tropical savanna in high rainfall areas.  For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/litchfield-savanna-supersite/ .




Photopoints are also collected at the site. 

Tags: Digital Cover Photography, lfld
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Great Western Woodlands Phenocam Images and Phenology Data Collection

Fixed cameras installed at the Great Western Woodlands SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products.   

Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis.





The Great Western Woodlands SuperSite was established in 2012 in the Credo Conservation Reserve. The site is in semi-arid woodland and was operated as a pastoral lease from 1907 to 2007. The core 1 ha plot is characterised by <em>Eucalyptus salmonophloia</em> (salmon gum), with <em>Eucalyptus salubris</em> and <em>Eucalyptus clelandii</em> dominating other research plots. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-supersite/.


Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape, and ancillary images of fauna and flora. 

Tags: Core 1 ha, TERN Ecosystem Processes, gwwl, phenocam images, phenology transiton, vegetation colour, vegetation greeness, vegetation phenology
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Global Bat Acoustic Data Collection: Lithuania

This dataset is a collection of echolocation calls recorded from Lithuania. Users should note that some audio files may contain calls from multiple species, and in certain cases, only one of the present species has been identified.

The collection includes bat call files in .zc and .wav formats, encompassing both identified and unidentified calls. Each call file contains embedded information, such as collection date, GPS location, species identification (where available), and contributor details, which is extracted and used to create searchable filter options in TERN Ecoacoustic Recordings. This enables users to efficiently search for, explore, and download call files based on specific criteria through the dashboard.

Tags: Bat Echolocation Call, Bat Reference Call Library, Microbat, Ultrasound
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tumbarumba Wet Eucalypt Acoustic Data Collection - A2O Project

This dataset contains audio files from Tumbarumba Wet Eucalypt site. Tumbarumba site was established in 2000 by CSIRO and started measurements in 2001. The 1&nbsp;ha plot was established in 2015 in collaboration with TERN. The overstorey is dominated by <em>Eucalyptus delegatensis</em> (Alpine Ash) and <em>Eucalyptus dalrympleana</em> (Mountain Gum). 


In 2020 four acoustic recorders were set up to collect audio data continuously as part of the Australian Acoustic Observatory (A2O) project. Two recorders were placed in relatively wet habitats and two in relatively dry habitats.

Tags: Acoustic recordings, tumb
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Gingin Banksia Woodland SuperSite 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 will be taken annually using the five point photopoint method. The set of images for each year 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 centre of the plot facing each corner. 

The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/.

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

Tags: TERN Ecosystem Processes, WAASWA0004, WAASWA0005, ggbw
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Rock outcrop occurrence (3" resolution) - Release 1

The map gives a modelled estimate (probability) of the spatial distribution of rock outcroppings across Australia.

This product was produced in the development of the updated soil thickness map of Australia, details of which are published in Malone and Searle (2020; https://doi.org/10.1016/j.geoderma.2020.114579). This product is the output from Model 1 of aforementioned paper and uses the Rock Properties database provided by Geoscience Australia which gives the locations of sampled rock outcrops across Australia (http://www.ga.gov.au/scientific-topics/disciplines/geophysics/rock-properties). Filtering this dataset resulted in 14616 rock outcrop locations within areas where relief &gt;300 m. A machine learning model was used to find relationships between observed data and associated environmental covariate data to inform the mapping of rock outcrop occurrence across Australia.

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: Probability of rock outcrops;</li>
<li>Units: 0-1;</li>
<li>Period (temporal coverage; approximately): 1950-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx 90m);</li>
<li>Total number of gridded maps for this attribute: 1;</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, Continental DSM, Digital Soil Mapping, Geology, Global Soil Map, Machine learning, Raster, Rock, SLGA, Soil Maps, Soil Thickness, Spatial modelling, TERN_Soils, TERN_Soils_DSM
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Global Bat Acoustic Data Collection: Ireland

This dataset is a collection of echolocation calls recorded from Ireland. Users should note that some audio files may contain calls from multiple species, and in certain cases, only one of the present species has been identified.

The collection includes bat call files in .zc and .wav formats, encompassing both identified and unidentified calls. Each call file contains embedded information, such as collection date, GPS location, species identification (where available), and contributor details, which is extracted and used to create searchable filter options in TERN Ecoacoustic Recordings. This enables users to efficiently search for, explore, and download call files based on specific criteria through the dashboard.

Tags: Bat Echolocation Call, Bat Reference Call Library, Microbat, Ultrasound
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tree Structural Characteristics - Site Measurements, Ancillary Data and Field Photography - Australian Field Sites

Tree structural characteristics are collected at the centre of a site, usually in conjunction with the Statewide Landcover and Trees Study (SLATS) star transect field data. The basal wedge is first used to identify a sample of trees then direct measurements are taken of each tree, which constitute the tree structural characteristics.Tree structural measurements have been collected at several locations across Australia (including the formally known AusCover Supersites) to relate field-based measurements to satellite data products, such as Landsat-derived ground cover estimates.


Data can be downloaded from https://field.jrsrp.com/ by selecting the combination Field and Tree Structure.

Tags: Tree structure
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Soil Organic Carbon Fractions (3" resolution) - Release 1

This is Version 1 of the Soil Organic Carbon Fractions product of the Soil and Landscape Grid of Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. This product contains six digital soil attribute maps for each of three depth intervals, 0-5&nbsp;cm, 5-15&nbsp;cm, 15-30&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).


These maps are generated using Digital Soil Mapping methods.

<ul><li>Attribute Definition: Soil Organic Carbon Fractions : mineral-associated organic carbon (MAOC), particulate organic carbon (POC) and pyrogenic organic carbon (PyOC) (Units: Various);</li>
<li>Period (temporal coverage; approximately): 1950-2022;</li>
<li>Spatial resolution: 3 arc seconds (approximately 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>Total size before compression: about 8GB;</li>
<li>Total size after compression: about 4GB;</li>
<li>Format: Cloud Optimised GeoTIFF.</li></ul>

Tags: 3-dimensional soil mapping, Attributes, Australia, Continental, DSM, Digital Soil Mapping, Global Soil Map, Raster, SLGA, Soil, Soil Maps, Soil Organic Carbon Fractions, TERN_Soils, TERN_Soils_DSM, spatial modelling, spatial uncertainty
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Queensland Future Climate Dataset - Downscaled CMIP5 climate projections for RCP8.5 and RCP4.5

Dynamically downscaled high-resolution (~10 km spatial resolution)  climate change projection data for Queensland. Downscaling was completed using CSIRO Conformal Cubic Atmospheric Model (CCAM) for two RCPs (RCP4.5 and RCP8.5) from 11 CMIP5 global coarse resolution models for period 1980-2099. The Queensland Future Climate Dashboard (www.longpaddock.qld.gov.au/qld-future-climate/ ) provides easy access to climate projection for Queensland. The dashboard allows users to explore, visualize and download the latest high-resolution climate modelling data for specific regions, catchments, disaster areas, local government areas and grid squares. Underlying data is provided via TERN for easy access for each of 11 downscaled models. The Queensland Future Climate Dataset provides high resolution data for over 30 different metrics grouped in six climate themes: (i) Mean Climate; (ii) Heatwaves; (iii) Extreme Temperature Indices; (iv) Extreme Precipitation Indices; (v) Droughts; and (vi) Floods. In addition selected variables at daily and monthly intervals are also available.

Tags: CMIP5, Climate Extremes, Daily, monthly and seasonal frequency, High-resolution climate change projections, None
Organization: Terrestrial Ecosystem Research Network's Data Discovery