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

This is Version 2 of the Australian Total Soil Nitrogen product of the Soil and Landscape Grid of Australia.

It supersedes the Release 1 product that can be found at https://doi.org/10.4225/08/546F564AE11F9

The map gives a modelled estimate of the spatial distribution of total nitrogen 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 (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). An additional measure of model reliability is through assessment of model extrapolation risk. This measure provides users a spatial depiction where model estimates are made within the domain of the observed data or not.

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: Total soil nitrogen;</li>
<li>Units: % (percentage of fine soil mass);</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: 24;</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, Global Soil Map, Nitrogen, Raster, SLGA, Soil Maps, Spatial modelling, TERN_Soils, TERN_Soils_DSM, soil nitrogen, total soil nitrogen
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Alice Mulga SuperSite Panoramic Photopoint Image Collection 2015

High quality digital images are captured using a digital SLR camera at the plots at the TERN Alice Mulga 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 Alice Mulga SuperSite was established in 2010 at Pine Hill Cattle Station with research plots located in low open woodland Mulga (Acacia aneura) and non-Acacia, hummock grassland, and river red gum forest. 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, five-photopoint images, and ancillary images of fauna and flora.  

Tags: Core 1 ha, TERN Ecosystem Processes, Ti Tree East
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TERN Alice Springs Mulga Core 1 ha 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 Alice Springs Mulga flux tower site was established in 2010 at Pine Hill Cattle Station, with a new core 1 ha established in September 2025 within the flux tower footprint. The core 1 ha plot is located in a dense Mulga woodland (cover 70-80%). Other images collected at the site include digital hemispherical photography, phenocam time-lapse images taken from a fixed overstorey camera, panoramic landscape and ancillary images of fauna and flora.

Tags: NTABRT0002, TERN Ecosystem Processes
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Cumberland Plain Ancillary Images Collection

This dataset consists of images of fauna, flora, fungi or general scenery or events captured at the site on an ad-hoc basis and may provide the researcher with information regarding the species that occupy, frequent or traverse this site. 

The Cumberland Plain SuperSite was established in 2012 in endangered remnant Eucalyptus woodland and is subject to pressure from invasive weeds, altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the woodland is in excellent condition with the exception of edge effects. The site is located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/cumberland-plain-supersite/


Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed overstorey cameras, and photopoint images.

Tags: TERN Ecosystem Processes, cblp, remnant sclerophyll woodland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Karawatha Peri-Urban Ancillary Images Collection

This dataset consists of images of fauna, flora, fungi or general scenery or events captured at the site on an ad-hoc basis and may provide the researcher with information regarding the species that occupy, frequent or traverse this site. 

Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4 .
 
Other images collected at the site include photopoints and digital cover photography.

Tags: TERN Ecosystem Processes, seqp_karawatha
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Great Western Woodlands, Changes in Plant Diversity Indices, Composition and Cover in Eucalyptus salubris Woodlands Across Time Since Fire Chronosequence, 2012

The data set contains information on plant diversity indices, species composition, vegetation cover and edaphic properties from the <i>Eucalyptus salubris</i> woodlands, Great Western Woodlands site. The data represents changes in plant diversity due to disturbance with time since fire in a chronosequence.

Tags: Edaphic properties, Eucalyptus woodlands, Great Western Woodlands, Plant diversity indices
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tumbarumba Wet Eucalypt Coarse Woody Debris Data

This data contains diameter, volume and biomass measurements of all coarse woody debris pieces within the core 1 ha plot at the Tumbarumba Wet Eucalypt site in 2015.

Tags: Above ground biomass, CWD, Coarse Woody Debris, Tumbarumba, Vegetation
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Salamander Diversity and Distributions Data, Central Appalachian Region, West Virginia, USA

The Central Appalachian region, USA, contains several high elevation-endemic woodland salamanders (genus Plethodon), which are thought to be particularly vulnerable to climate change due to their restricted distributions and low vagility. In West Virginia, there is a strong management focus on protection and recovery of the federally threatened Cheat Mountain salamander (Plethodon nettingi; CMS). To support this focus, there is a need for improved understanding of CMS occurrence-habitat relationships and spatially explicit projections of fine-scale contemporary and potential future habitat quality to inform management actions. In addition, there is concern among resource managers that climate change may increase habitat quality at high elevations for CMS competitors, particularly the eastern red-backed salamander (Plethodon cinereus; RBS), potentially resulting in increased competition pressure for CMS. To address these knowledge gaps, we created ecological niche models for CMS and RBS using the Random Forest classification algorithm and used the estimated occurrence-habitat relationships to assess ecological niche overlap between the species and project fine-scale contemporary and potential future habitat availability and quality. We estimated that the ecological niches of CMS and RBS were 80.5% similar, and habitat projections indicated the species would exhibit opposite responses to climate change in our region. For CMS, we estimated that amount of high-quality habitat will be reduced by mid-century and potentially lost by end-of-century, but that moderate and low-quality habitat will persist. For RBS, we estimated that amount of high-quality habitat will increase through end-of-century, and that high elevations will become more suitable for the species, indicating that competition pressure for CMS is likely to increase. This study improves understanding of important habitat characteristics for CMS and RBS, and our spatially explicit projections can assist natural resource managers with habitat protection actions, species monitoring efforts, and climate change adaptation strategies.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Rainforest Leaf Functional Trait Data, 2012 - 2014

This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Robson Creek Rainforest site, in the dry season 2012 and wet season 2014.

Tags: Leaf traits, Nitrogen, Phosphorus, Photosynthesis, Respiration, Robson Creek Rainforest, Water efficiency
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Australian Individual Tree Biomass Library – v2

This data set is a compilation of biomass sampling of 15,054 individual measurements of 274 tree and shrub species across 826 sites in the Australian mainland, reported in 94 studies between 1950 and 2015. Various methods were used across sites, but all involved destructive harvests of individual trees or shrubs and measuring the fresh weight of above-ground biomass. Sub-sampling was used to determine moisture content, after which dry weight of the above-ground biomass was calculated. 
See publication under Associated documentation.

Tags: Climate And Climate Change (9603), Ecological Modelling Ecosystem Assessment And Management (9605), Environmental And Natural Resource Evaluation (9606), Flora, Fauna And Biodiversity (9608), Land And Water Management (9609), Rehabilitation Of Degraded Environments (9612), Remnant Vegetation And Protected Conservation Areas (9613)
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Christmas Island Flying-fox (Pteropus melanotis natalis) Monitoring

Data is provided from three survey types: nocturnal drive-by monitoring; ground counts; and exit counts. The nocturnal drive-by monitoring dataset provides information on species presence/absence at 124 sites across Christmas Island. The ground count dataset provides information on numbers of bats observed roosting in trees at known camp sites; while the exit count dataset records counts of bats exiting from the respective camp sites.

Tags: Crytodactylus sadleiri (giant gecko), Hemidactylus frenatus (barking gecko), Island, Long-Term Species Monitoring, Lycodon aulicus capucinus (wolf snake), National Reserve System Threatened Species, Ninox natalis (Christmas Island Hawk Owl), Population Dynamics, Pteropus melanotus natalis, Scolopendra morsitans (giant centipede), Species Decline
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Boyagin Flux Data Release 2024_v1

This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.17) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).

 The flux station was established in 2017 in Wandoo Woodland, which is surrounded by broadacre farming. About 80% of the overstorey cover is <em>Eucalyptus accedens</em>. Climate information comes from the nearby Pingelly BOM AWS station 010626 (1991 to 2016) and shows mean annual precipitation is approximately 445&nbsp;mm with highest rainfall in June and July of 81&nbsp;mm each month. Maximum and minimum annual rainfall is 775 and 217&nbsp;mm, respectively. Maximum temperatures range from 31.9&nbsp;°C (in Jan) to 15.4&nbsp;°C (in July), while minimum temperatures range from 5.5&nbsp;°C (in July) to 16.0&nbsp;°C (in Feb). The Noongar people are the traditional owners at Boyagin. 

Tags: AU-Boy, dry sclerophyll woodland, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Southeast Queensland Bioregion Spatial BioCondition, 2021, Version 2.0

This is a spatial dataset comprising predictions of vegetation condition for biodiversity for the Southeast Queensland 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
Leaf Trait Associations with Environmental Variation in the Wide-Ranging Shrub Dodonaea viscosa subsp. angustissima (Sapindaceae) Part-1: Latitude

Leaf traits for 101 populations of <i>Dodonaea viscosa subsp. angustissima </i>(Sapindaceae) opportunistically collected across a ~1,000 km latitudinal north-south sequence with climates grading from the arid zone to the mesic Mediterranean zone. Additionally, we present leaf traits for 266 individuals on an attitudinal gradient in the Mt Lofty Ranges, South Australia. Traits measured include leaf area and specific leaf area, as well as climatic variables associated with the collection sites. 

Leaf area is known to be responsive to climatic conditions. This data could be combined with additional collections for Dodonaea viscosa or broader plant trait data sets to explore pant responses to environmental change.

Tags: Climate And Climate Change (9603), Ecological Modelling, Flora, Fauna and Biodiversity at Regional or Larger Scales (960805), Remnant Vegetation And Protected Conservation Areas (9613)
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Litchfield Savanna Acoustic Data Collection - TERN

This dataset contains audio files for Litchfield Savanna SuperSite. 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 1 ha plot is dominated by <em>Eucalyptus miniata</em> and <em>Eucalyptus tetrodonta</em>. 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 <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/litchfield-savanna-supersite">Litchfield Savanna SuperSite</a>


In 2015 an acoustic recorder was set up on the main flux tower. In 2016 a second record was set up on mini tower N.&nbsp;5. The two recorders collected 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 sensors also recorded temperature, minimum- maximum- and mean-sound pressure levels.


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, lfld
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Local maladaptation in a foundation tree species: implications for restoration( Part-2: growth)

This dataset contains the effect of stress and herbivory on the establishment of alternate provenances of a foundation tree species. This data relates to plant fitness and could be used for more broader studies in this area. We established a common garden experiment within a 238 ha restoration site owned and managed by the South Australian Water Corporation (SA Water), near the township of Clarendon (-35.0882°S, 138.6236°E). We grew ca.1500 seedlings sourced from one local and two non-local provenances of <i>Eucalyptus leucoxylon</i> to test whether local provenancing was appropriate. The three provenances spanned an aridity gradient, with the local provenance sourced from the most mesic area and the distant provenance sourced from the most arid. We explored the effect of provenance on four fitness proxies after 15 months, including survival, above-ground height, susceptibility to insect herbivory, and pathogen related stress.

Tags: Climate And Climate Change (9603), Flora, Fauna And Biodiversity (9608), Rehabilitation Of Degraded Environments (9612)
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Australian White Ibis Salmonella and Flavivirus survey

This is a data set on the prescence of Salmonella and the exposure of flavivirus in the Australian White Ibis. The data is presented in an excel file that lists, band numbers, sample dates, age, sex, bill lengths, presence of Salmonella in gut samples, and evidence of exposure to flavivirus for 72 birds sampled in the years 2002, 2003 and 2015 in Sydney, Australia. Detailed results listed in our open accessible manuscript published in the Journal of Urban Ecology in 2019. <em> https://academic.oup.com/jue/article/5/1/juz006/5506280</em>.

Tags: Control Of Pests, Diseases And Exotic Species (9604), Flora, Fauna And Biodiversity (9608)
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tumbarumba Wet Eucalypt Phenocam Images and Phenology Data Collection

Fixed cameras installed at the Tumbarumba Wet Eucalypt 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 regularly during daylight hours. Images and data products for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on a six monthly basis.


The Tumbarumba Flux site was established in 2000 by CSIRO and started measurements in 2001. The 1 hectare (ha) SuperSite plot was established in 2015 in a collaboration with TERN. The overstorey is dominated by <em>Eucalyptus delegatensis</em> (alpine ash) and <em>Eucalyptus dalrympleana</em> (mountain gum). 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 photopoints, digital cover photography (DCP), and ancillary images of fauna and flora. 

Tags: TERN Ecosystem Processes, phenocam images, phenology transiton, tumb, vegetation colour, vegetation greeness, vegetation phenology
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Samford Peri-Urban Site, South East Queensland, Litterfall Data From Dry Sclerophyll Forest, 2011-2013

The record contains information on litterfall data collected from the dry sclerophyll forest, Samford Peri-Urban Site, South East Queensland from between 2011-2013. Data on plant litter weight, leaf carbon and nitrogen content are provided.

Tags: Dry Sclerophyll forest, Leaf biomass, Leaf litterfall
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Total cover - MODIS, Land Condition Index (LCI) algorithm, Australia coverage

The MODIS Land Condition Index (LCI) is an index of total vegetation cover (green and non-photosynthetic vegetation ), and so is also an index of soil exposure. The LCI is a normalised difference index based on MODIS bands in the mid-infrared portion of the spectrum. The index is produced from 500-m MODIS nadir BRDF adjusted reflectance (NBAR) data.

As with all products derived from passive remote sensing imagery, this product represents the world as seen from above. Therefore, the cover recorded by this product represent what would be observed from a birds-eye-view. Therefore, dense canopy may prevent observation of significant soil exposure.

Tags: LCI
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Ausplots Rangelands supplementary dataset (Guerin et al. 2016)

This dataset contains information on vegetation at a set of field sites along with associated environmental data extracted from spatial layers and selected ecological statistics. Measurements of vascular plants include species, growth form, height and cover from 1010 point intercepts per plot as well as systematically recorded absences, which are useful for predictive modelling and validation of remote sensing applications. The derived cover estimates are robust and repeatable, allowing comparisons among environments and detection of modest change. The field plots span a rainfall gradient of 129-1437 mm Mean Annual Precipitation ranging from aseasonal to highly seasonal. The dataset consists of a processed version the AusPlots Rangelands dataset with three components: 1) a site table with locality, environmental and summary ecology statistics for each plot; 2) a set of compiled point intercept records identified by individual hits, site visits and plots and; 3) a processed species percent cover against site/visit matrix for ecological analysis. The data have re-use potential for studies on vegetation properties in the Australian rangelands or as a species presence/absence dataset for testing ecological models. The dataset also provides opportunities for generic application such as testing community ecology theories or developing or demonstrating community ecology software, whether using the raw point by point intercept data or the derived percent cover matrix.

Tags: Biodiversity Inventory, Biogeography, Ecosystem Modelling, Long-Term Community Monitoring, Long-Term Species Monitoring
Organization: Terrestrial Ecosystem Research Network's Data Discovery