AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil and Landscape Grid National Soil Attribute Maps - Bulk Density - Whole Earth - Release 2

This is Version 2 of the Australian Soil Bulk Density - Whole Earth product of the Soil and Landscape Grid of Australia.

It supersedes the Release 1 product that can be found at <a href="https://doi.org/10.4225/08/546EE212B0048">https://doi.org/10.4225/08/546EE212B0048</a>

The map gives a modelled estimate of the spatial distribution of Bulk Density 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: Bulk Density of the whole soil (including coarse fragments) in mass per unit volume by a method equivalent to the core method;</li>
<li>Units: g/cm3;</li>
<li>Period (temporal coverage; approximately): 1950-2021;</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, Bulk Density, Continental, DSM, Digital Soil Mapping, Global Soil Map, Raster, SLGA, Soil, Soil Maps, Spatial modelling, Spatial uncertainty, TERN, TERN_Soils, TERN_Soils_DSM
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Pedogenons (3" resolution) - Release 1

This map gives a modelled estimate of the spatial distribution of Pedogenon soil classes across Australia.

Pedogenon mapping is a method for stratifying the landscape (similar to soil-landscape units), which can be used to assess past soil change with a space-for-time substitution approach.

Pedogenon classes are a conceptual taxa that aim to define groups of homogeneous environmental variables. These groups are created applying unsupervised classification to a set of state variables, proxies of the soil-forming factors for a given reference time. The assumption is that the soil-forming processes within these classes (i.e., pedogenons) have been relatively similar over pedogenetic time and thus have developed soils with similar properties. Pedogenon classes can afterwards be divided into subclasses along a gradient from less (i.e., remnant pedogenons) to more anthropogenic pressure on soils (i.e., pedophenons), in an analogous way to the concept of genoform and phenoform (Rossiter and Bouma, 2018). The assessment of changes in soil condition can be done with a space for time substitution within and across pedogenon classes. The conceptualization and methodology for pedogenon mapping and using the classes as basis to assess changes in soil condition are explained with more detail in two publications (Román Dobarco et al., 2021a; Román Dobarco et al., 2021b).

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>Period (temporal coverage; approximately): 1950-2022;</li>
<li>Spatial resolution: 3 arc seconds (approx 90&nbsp;m);</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: DSM, Digital Soil Mapping, Global Soil Map, Pedogenon, Raster, SLGA, Soil, Soil Maps, Spatial modelling
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tumbarumba Wet Eucalypt Site, Five Photopoint Image Collection

High quality digital site reference images are captured for the core 1 hectare (ha) 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 Tumbarumba Flux site was established in 2000 and started measuring in 2001. The 1 ha plot was established in 2015. Preliminary images have been captured since 2000 using various sampling strategies and protocols. The overstorey is dominated by <em>Eucalyptus delegatensis</em> and <em>Eucalyptus dalrympleana</em>. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/tumbarumba-wet-eucalypt-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, tumb
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Rainforest Vegetation Structure Data, 2014

This data contains a once-off general structural description according to the National Vegetation Information System (NVIS) levels 5 and 6 for the core 1 hectare plot in the Robson Creek Rainforest site in 2014. 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: Biomass, FNQ, Far North Queensland, Forest dynamics, Rainforest, Tropical rainforest
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Global Bat Acoustic Data Collection: Norway

This dataset is a collection of echolocation calls recorded from Norway. 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
Cumberland Plain Terrestrial LiDAR, 2022

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Cumblerland Plain Woodland SuperSite in Western Sydney, Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

Tags: LiDAR, TLS, lidar point cloud
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Effective Cation Exchange Capacity (3" resolution) - Release 1

This is Version 1 of the Australian Soil Effective Cation Exchange Capacity 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. 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 (https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf). 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 by combining the best available Digital Soil Mapping (DSM) products available across Australia.
<ul><li>Attribute Definition: Cations extracted using barium chloride (BaCl2) plus exchangeable H + Al;</li>
<li>Units: meq/100g;</li>
<li>Period (temporal coverage; approximately): 1950-2013;</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, Continental DSM, DSM, Digital Soil Mapping, Effective Cation Exchange Capacity, Global Soil Map, Raster, SLGA, Soil Maps, Spatial modelling, TERN_Soils, TERN_Soils_DSM
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Biomass Plot Library - National Collation of Stem Inventory Data and Biomass Estimation, Australian Field Sites

The Biomass Plot Library is a collation of stem inventory data across federal, state and local government departments, universities, private companies and other agencies. It was motivated by the need for calibration/validation data to underpin national mapping of above-ground biomass from integration of Landsat time-series, ICESat/GLAS lidar, and ALOS PALSAR bacscatter data under the auspices of the JAXA Kyoto &amp; Carbon (K&amp;C) Initiative (Armston et al., 2016). At the time of Version 1.0 publication 1,073,837 hugs of 839,866 trees across 1,467 species had been collated. This has resulted from 16,391 visits to 12,663 sites across most of Australia's bioregions. Data provided for each project by the various source organisation were imported to a PostGIS database in their native form and then translated to a common set of tree, plot and site level observations with explicit plot footprints where available.


Data can be downloaded from https://field.jrsrp.com/ by selecting the combinations Tree biomass and Site Level, Tree Biomass and Tree Level.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Cumberland Plain Woodland Acoustic Data Collection - A2O Project

This dataset contains audio files for Cumberland Plain Woodland SuperSite. was established in 2012 in a protected remnant of Shale Gravel Transition Forest, located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. The vegetation at the site is dominated by <em>Eucalyptus moluccana</em> and <em>E. fibrosa</em>, which have hosted a population of mistletoe (<em>Amyema miquelii</em>); a subcanopy of <em>Melaleuca decora</em> is visible in some gaps. The ecosystem is subject to pressure from altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the forest patch at the site is in excellent condition with the exception of edge effects. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/cumberland-plain-supersite">Cumberland Plain Woodland SuperSite</a>


In 2019 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, cblp
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Mallee Terrestrial LiDAR, 2021

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Calperum Mallee SuperSite on Calperum Station near Renmark, South Australia. The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardised and highly detailed capture of 3D vegetation structure across Australia.

Tags: LiDAR, TLS, lidar point cloud
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Alice Mulga SuperSite Five Photopoint Image Collection 2015-2017

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 Alice Mulga SuperSite was established in 2010 at Pine Hill Cattle Station with research plots located in low open woodland Mulga (<em>Acacia aneura</em>) and non-Acacia, hummock grassland, and river red gum forest. The core 1 ha plot is located in a dense Mulga woodland (cover 70&ndash;80%). For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/">https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/</a>.  Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, panoramic landscape and ancillary images of fauna and flora.

Tags: NTABRT0002, TERN Ecosystem Processes, Ti Tree East tte
Organization: Terrestrial Ecosystem Research Network's Data Discovery
The Photosynthetic Pathways of Plant Species Surveyed in TERN Ecosystem Surveillance Plots

 This data set provides the photosynthetic pathways for 4832 species recorded across plots surveyed by Australia’s Terrestrial Ecosystem Research Network (TERN) between 2011 and May 2022 (inclusive). TERN survey plots are 1&nbsp;ha (100 x 100&nbsp;m) permanently established sites located in a homogeneous area of terrestrial vegetation. At each plot, TERN survey teams record vegetation composition and structural characteristics and collect a range of plant samples using a point-intercept method. Species were assigned a photosynthetic pathway using literature and carbon stable isotope analysis of bulk tissue collected by TERN at the survey plots. 

The data set is comprised of one data table that contains a list of each species and its photosynthetic pathway, and one metadata file which provides a data descriptor that defines data values and a list of all the peer-reviewed sources used to create this data set. 

Version 1 (2020) included the photosynthetic pathways of 2428 species recorded across TERN plots surveyed between 2011 and 2017 (inclusive) and was originally published in 2020. Key updates in version 2 (2024) include an expanded species list and updated taxonomy were applicable 

Tags: Stable Isotope Analysis
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Multispecies Count Data for Dynamic Factor Analysis by the Desert Ecology Research Group

This dataset consists of counts for multiple plant species obtained from the Ethabuka Station and Carlo Reserve in the Simpson Desert, Australia, from 2004-2013 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists rainfall data obtained from 2004-2012. These datasets were used to perform a Dynamic Factor Analyses for the manuscript, "Life form explains consistent temporal trends across species: the application of dynamic factor analysis". For more information see: DERG; https://www.sydney.edu.au/science/our-research/research-areas/life-and-environmental-sciences/desert-ecology.html.

Tags: Ecosystem modelling, Fire, Hummock graslands
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Boyagin Wandoo Woodland Terrestrial LiDAR, 2021

This terrestrial LiDAR dataset captures detailed vegetation structural information at the Boyagin Wandoo Woodland SuperSite within the Boyagin Rock Nature Reserve, Western Australia (WA). The purpose of this data is to enhance understanding of vegetation dynamics and ecosystem function in the region. The dataset is part of a broader collection of Terrestrial LiDAR data acquired from all TERN SuperSites, aimed at achieving a standardized and highly detailed capture of 3D vegetation structure across Australia.

Tags: LiDAR, TLS
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Downscaled Projections of Bioclimatic Indices for Species Distribution Modelling in Australia (1975 - 2099)

Climate change is a major factor contributing to biodiversity loss globally and in Australia. Addressing this conservation challenge requires information about present and future species distributions. To improve assessment of future species distributions, we have calculated 19 bioclimatic indices using dynamically and statistically downscaled Coupled Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs) over Australia at a 5 km resolution through 1975 – 2099 for three emissions scenarios (SSP1-2.6, SSP2-4.5 and SSP3-7.0). We used the Conformal Cubic Atmospheric Model (CCAM) for dynamical downscaling to 10km, and the Quantile Matching for Extremes (QME) method for statistical downscaling the CCAM output to 5km. This dataset will be useful for the study of climate change impacts on species distributions in Australia.

Tags: Bioclimatic Indices, Climate Change, Species Distribution Modelling
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Ecosystem Surveillance: Disturbance

This dataset lists the parameters associated with disturbance from Rangeland sites across Australia described by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. 


 For each site, the disturbance parameters such as erosion type, state of erosion, extent of erosion is studied following the AusPlots Plot Description protocol and becomes an important part of understanding the site disturbance in the AusPlots Rangelands.

Tags: TERN Surveillance Monitoring
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Ecosystem Surveillance: Land Surface Substrate

This dataset lists land surface substrate characteristics observed in Rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. 


Land surface substrate observations are collected at each site as part of the AusPlots Point intercept method. At each site, observations on the substrate type (e.g. rock, coarse woody debris, litter) are recorded on transect laid out on the plots. These records form the basis for ground cover derivation, see the AusPlots Ground cover and Point intercept methods below.

Tags: TERN Surveillance Monitoring
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Amphibian Agricultural Woodland Data, Eastern Australia 2014 – 2015

The data set contains count data of amphibians from surveys of grazing properties in the Central and Southern Tablelands of NSW, Australia. Amphibians were surveyed using pitfall and funnel trapping along transects. Twelve properties were surveyed for the data set. Each property was surveyed 5 times for five trap nights on each survey between 2014 and 2015. A total of 2378 amphibians were captured from 11 different species during the surveys. All species captured were from one of three families: Limnodynastidae (three species), Myobatrachidae (four species) and Hylidae (four species).

Tags: Landscape-Scale Management, Threatened Ecological Communities
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Vapour Pressure Deficit Modulates Hydraulic Function and Structure of Tropical Rainforests Under Non-Limiting Soil Water Supply

Tropical rainforests play a powerful role in mediating the global climate through the exchange and storage of carbon and water.  Climate change is expected to generate higher atmospheric water demand in many areas, potentially increasing the rate of evaporation.  In this study, we show that higher evaporative demand may in fact lead to lower fluxes of water from tropical rainforests and a reduced capacity of these forests to store carbon.

The record contains meteorological and forest inventory data in addition to data on soil water potential, sapflow measurements and tree hydraulic vulnerability measures from Robson Creek and Cow Bay study sites in Far North Queensland. The measurements occurred over a period of two years form 2019 to 2020.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Gridded Near-Surface Wind Data for Australia

Gridded near-surface (2 and 10&nbsp;m) daily average wind datasets for Australia from 1975 to 2018 have been constructed by interpolating observational data collected by the Australian Bureau of Meteorology (BoM). The new datasets span Australia at 0.05 × 0.05&deg; resolution with a daily time step. The datasets were constructed by blending observational data collected at various heights using local surface roughness information.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Australia wide daily volumetric soil moisture estimates

The Soil Moisture Integration and Prediction System (SMIPS) produces national extent daily estimates of volumetric soil moisture at a resolution of approximately 1km or 0.01 decimal degrees. SMIPS also generates an index of between 0-1 which approximates how full the 90cm metre soil moisture store is at a particular location and time. The SMIPS model itself consists of two linked soil moisture stores, a shallow quick responding 10cm upper store and a deeper, slower responding 80cm store. 
SMIPS is parameterised using physical properties from the <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html">Soil and Landscape Grid of Australia </a>and takes a data model fusion approach for model forcing. Version 1.0 of the SMIPS model uses precipitation and potential evapotranspiration data from the Bureau of Meteorology’s <a href="https://awo.bom.gov.au/assets/notes/publications/AWRALv6_Model_Description_Report.pdf">AWRA Model</a>. In addition to version 1.0 of the model, an experimental version of the model is available for user testing. This version of the model uses precipitation data supplied by an experimental CSIRO daily rainfall surface generated using spatial data from the NASA Global Precipitation Mission as a base and enhanced using rainfall observations from the Bureau of Meteorology (BoM) rainfall gauge network, and various landscape covariates, processed using a machine learning approach. 
To help increase model accuracy, the internal SMIPS model states are adjusted or ‘bumped’ by daily observational data from the European Space Agency’s Soil Moisture and Ocean Salinity (SMOS) satellite mission.

Tags: Australia, Raster, SMIPS, SMOS, Water Balance
Organization: Terrestrial Ecosystem Research Network's Data Discovery