AndreaBozzo/ceres-open-data-index huggingface dataset:
Wombat Stringybark Eucalypt Phenocam Images and Phenology Data Collection

Fixed cameras installed at the Wombat Stringybark 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 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 site was established in 2010 in the Wombat State Forest in Central Victoria. The site is dry eucalypt forest with main species <em>Eucalyptus obliqua</em>, <em>Eucalyptus radiata</em> and <em>Euclayptus rubida</em>. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/wombat-stringybark-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, vegetation colour, vegetation greeness, vegetation phenology, wsbe
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tanami Regional Biodiversity Monitoring (2005,  2009, 2012), Central Land Council

The dataset contains biological data collected 2005, 2012 as part of the Tanami Regional Biodiversity Monitoring (Tanami RBM) program. The Tanami RBM program uses 89 sites across the Tanami region, central-west Northern Territory. At these sites, flora and fauna are surveyed during the late-dry (usually November-December) or late-wet (usually February-March) seasons. Each site comprises a 200 m x 300 m survey plot from which the data are recorded using various survey methods: site descriptions, vegetation transects, bird surveys, small vertebrate trapping, and tracking surveys. This dataset contains the data from eight surveys undertaken between 2005 and 2012: six in the late-dry and two in the late-wet seasons. The precision of site locations has been reduced to 0.1 decimal degree, which is approximately 10 km at the study region. This denaturing is because some sites contain threatened and/or sensitive species that might be at risk from collection or disturbance.
The dataset contains species information from vegetation surveys and fauna species captures and observations. The data can be used to: [1] Review the outcomes of the survey methodologies [2] Presence data of the species recorded [3] Impacts of mining on the region's flora and fauna e.g. what is the spatial and temporal impact of mining activities on biota? [4] Conservation and biodiversity e.g. what are the spatial and temporal trends in the occurrence of key/threatened species? How do land units/systems change over time?

Tags: Arid ecology, Biodiversity Inventory, Long-Term Species Monitoring, Population Dynamics, Restoration Ecology, Species Composition, Species Decline, Structural Assemblage
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Uluru-Kata Tjuta National Park Vertebrate Pest Sand Trap Monitoring

The dataset contains passive activity index data used to monitor the distribution and activity of introduced carnivores in the habitat of endangered species within Uluru-Kata Tjuta National Park.

Tags: Cat, Exotic Animal Species, Feral Cats, Flora, Fauna And Biodiversity (9608), Foxes, Long-Term Species Monitoring, National Reserve System, Population Dynamics, Red Fox, Vertebrate/Invertebrate Pest Species Management, dingoes
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Historical Heatwaves in Australia

Heatwaves are defined as unusually high temperature events that occur for at least three consecutive days with major impacts to human health, economy, agriculture and ecosystems. This dataset provides time-series of heatwave characteristics such as peak temperature, number of events, frequency and duration from 1950 to 2016 in Australia. The analysis were based on daily minimum and maximum temperature obtained from the Australian Water Availability Project (AWAP). The data is available as spatial time-series (5km grid-cell) and aggregated time-series for all Local Government Areas in Australia.

Tags: Climate change, Climate extremes; Extreme temperature; Extreme heat, Heat waves
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Camera Trap Images from TERN Gingin Banksia Woodland SuperSite

High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the site.  Two cameras were deployed from July to Dec 2018 and  between March and May 2019. 

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 flora.

Tags: TERN Ecosystem Processes, camera trap, ggbw
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Soil Bacteria and Fungi Beta Diversity (3" resolution) - Release 1

This is Version 1 of the Soil Bacteria and Fungi Beta Diversity 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. These products provide estimates of the Beta Diversity of soil fungi and bacteria. 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 (DSM) methods. Detailed information about the Australian DSM an be found at <a href="https://aussoilsdsm.esoil.io/home">AusSoilsDSM</a>
<ul><li>Attribute Definition: Soil Bacteria and Fungi Beta Diversity (Units: NA);</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: 6;</li>
Number of pixels with coverage per layer: 2007M (49200 * 40800);
<li>Total size before compression: about 8GB;</li>
<li>Total size after compression: about 4GB;</li>
<li>Format: Cloud Optimised GeoTIFF.</li></ul>

Tags: Attributes, Australia, Continental, DSM, Digital Soil Mapping, Raster, SLGA, Soil, Soil Beta Diversity, Soil Maps, TERN, TERN_Soils, TERN_Soils_DSM, spatial modelling
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Drained Upper Limit Volumetric Water Content (Percent) (3 arc second resolution) Version 1

This is Version 1 of the Australian Drained Upper Limit Volumetric Water Content (DUL) product of the Soil and Landscape Grid of Australia.

The map gives a modelled estimate of the spatial distribution of Drained Upper Limit Volumetric Water Content soil hydraulic property 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 <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf">GlobalSoilMap.net project</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 - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html
<ul>
<li>Attribute Definition: Drained Upper Limit Volumetric Water Content;</li>
<li>Units: percent;</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, DSM, DUL, Digital Soil Mapping, Drained Upper Limit Volumetric Water Content, Global Soil Map, Raster, SLGA, Soil, Soil Hydraulic Properties, Soil Maps, Spatial modelling, Spatial uncertainty
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Tumbarumba Wet Eucalypt Vegetation Gentry Survey Data 2015

Gentry transects were established to monitor the vegetation abundance, cover and structure of the mid-stratum and subordinate stratum of the core 1 ha plot in the Tumbarumba Wet Eucalypt site in 2015.

Tags: Flora, Forest structure, Gentry survey, Species composition, Tumbarumba, Wet Eucalypt
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Booderee National Park Trends in Mammal Abundance

A fox control program has been in place in Booderee National Park since 1999 with baiting occurring twice a year. From 2003 onwards baiting has been intensified, with baiting occurring once a month. Since 2003 monitoring has been undertaken to track trends in distribution and abundance of small-medium sized mammal species, in response to fox control. The dataset contains data on mammal species and numbers trapped in Booderee National Park, as well as a record of sex, weight, pes length, and presence of pouch young.

Tags: Bandicoots, Bush Rat, Common Brushtail Possum, Ecosystem Modelling, Flora, Fauna And Biodiversity (9608), Long-Nosed Bandicoot, Long-Term Species Monitoring, Mammals, Marsupials, Native Rodents, Placentals, Population Dynamics, Possums, Predator-Prey Interactions
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Rainforest Vegetation Gentry Survey Data 2012

Gentry transects were established to monitor the vegetation abundance, cover and structure of the mid-stratum and subordinate stratum of the core 1 ha plot in the Robson Creek Raibnforest site in 2012.

Tags: FNQR, Far North Queensland, Flora, Forest structure, Gentry survey, Rainforest, Robson Creek, Species composition
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Soil Colour (3" resolution) - Release 1

We used Digital Soil Mapping (DSM) technologies combined with collations of observed soil colour data from TERN's Soil Data Federation System, to produce surface and subsoil maps of soil colour at a 90&nbsp;m resolution.

The map gives an estimate of the spatial distribution of RGB soil colour 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>Period (temporal coverage; approximately): 1950-2020;</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: Australian Soil Colour, DSM, Digital Soil Mapping, Global Soil Map, Raster, SLGA, Soil, Soil Maps, Spatial modelling
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Global Bat Acoustic Data Collection: Hungary

This dataset is a collection of echolocation calls recorded from Hungary. 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
Beacon Farm Unmanaged FLUXNET Release 2026_r1

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 standard micrometeorological methods for the quality control and post-processing steps. The final, gap-filled product containing Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) has been produced using the ONEFlux software as described in Pastorello et al. (2020).  This data set has been produced as part of the FLUXNET Shuttle project.

Two micrometeorological EC flux towers were installed approximately 300 m apart. One tower was located in an adjacent unirrigated, winter-grazed paddock.
The Beacon Farm site in Mid-Canterbury, New Zealand (204 m elevation) receives around 900 mm of annual rainfall and has a mean temperature of 10.9°C. Formerly a deer farm, it was converted to intensive dairy farming in 2008/09, supporting about 850 cows under rotational grazing. The two towers monitored irrigated and non-irrigated paddocks, alongside additional measurements of greenhouse gases and meteorological conditions.

Tags: FLUXNET ID, NZ-BFu
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Global Bat Acoustic Data Collection: Italy

This dataset is a collection of echolocation calls recorded from Italy. 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
Biological and Physical Data from River Sites Across a Gradient of Catchment Area Under Grazing in Northern Tasmania

River sites were sampled during the summers of 2008/09 and 2009/10 in a survey designed to identify correlations between commonly used river condition variables and grazing land-use. Potential stream sites in northern Tasmania were screened by catchment size, northing and slope, and according to attributes aimed at minimising confounding variables, maintaining broad consistency in landscape and geomorphological context, and promoting independence among sites. A set of 27 survey sites was selected across a gradient from low to high proportion of land under grazing in their upstream catchments. Catchment sizes varied from 20-120 km2 and proportion grazing from 0-80%. Macroinvertebrates were sampled using Surber sampler. All macroinvertebrates within a 20% sub-sample identified to family and counted, with individuals from the insect orders Ephemeroptera, Plecoptera and Trichoptera identified to genus/species (by Laurie Cook, UTAS). Algal abundance was estimated at each site as the proportion of algal cover and as areal density of benthic chlorophyll a. Physical data variables collected were: water temperature, conductivity, turbidity, pH, total alkalinity, nitrate+nitrate, dissolved reactive phosphorus, total nitrogen, total phosphorus, overhead shading, the proportion of fine sediments within the sampled riffle zone, accumulated abstraction index and accumulated regulation index.

Tags: Disturbances, Ecosystem Assessment And Management (9605), Environmental And Natural Resource Evaluation (9606), Environmental Water Management, Flora, Fauna And Biodiversity (9608), Flora, Fauna and Biodiversity at Regional or Larger Scales (960805), Land And Water Management (9609), Landscape-Scale Management
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Karawatha Peri-Urban Site, Fire History Data, 2000-2006

The record contains information on the annual fire history of 33 one-hectare plots in Karawatha Forest Park, Karawatha Peri-Urban Site, South-East Queensland. The plots are at 500 m intervals in a grid that covers the entire Park. Each plot follows the elevational contour and is 250 m long x 40 m wide.
The data presented is on fire event history for each plot for the years 2000 to 20006,  time since fire in each plot and the average frequency of fires in each plot per year.

Tags: Karawatha Peri-Urban, South-East Queensland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Digital Cover Photography (DCP) from TERN Wombat SuperSite

Digital Cover Photography (DCP)  upward-looking images are collected up to twice per year to capture vegetation and crown cover at Wombat Stringybark Eucalypt SuperSite. These images are used to estimate Leaf area index (LAI). The images are captured at the times of estimated maximum and minimum LAI. 

The site was established in 2010 in the Wombat State Forest in Central Victoria. The site is dry eucalypt forest with main species Eucalyptus obliqua, Eucalyptus radiata and Euclayptus rubida. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/wombat-stringybark-eucalypt-supersite/. Other images collected at the site include photopoints, phenocam time-lapse images taken from fixed under and overstorey cameras and ancilliary images of fauna and flora.  

Tags: TERN Ecosystem Processes, Wom, digital cover photography
Organization: Terrestrial Ecosystem Research Network's Data Discovery
30 years of ground flora composition and cover data in Queensland tropical woodlands

The dataset consists of species identity and projective foliage cover (PFC) of ground layer vascular plants from five sites located near Mareeba, in northern Queensland. The sites are located in eucalypt communities with altitudes ranging from 380 to 840 m. Data have been collected annually since 1992, in April and May, i.e. during the annual peak of plant species richness. At each site, data collection is carried out using ten 0.5 m2 quadrats deployed within a permanently marked 50 x 10 m plot. For each quadrat, all plant species visible above ground are identified and sampled. PFC data for each species from the ten quadrats are averaged. Any additional species occurring within the 50 x 10 m plot is also recorded and assigned a PFC of 0.1% (Neldner and Butler, 2021).

Tags: Ground layer dynamics, Heteropogon triticeus, Mnesithea rottboellioides, Themeda triandra, Vegetation dynamics
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Gingin Banksia Woodland Digital Cover Photography Collection

Digital Cover Photography (DCP) upward-looking images are collected three times per year to capture vegetation cover at Gingin Banksia Woodland SuperSite. These images can be used to estimate Leaf Area Index (LAI).



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. 



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


Tags: Digital Cover Photography (DCP), Leaf Are Index (LAI), TERN Ecosystem Processes, ggbw
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Christmas Island National Park Robber Crab (Birgus latro) Road Kill Monitoring

The dataset contains records of Robber Crab (<i>Birgus latro</i>) mortality across Christmas Island, including location co-ordinates and details of sex and thoracic length. To manage the impact of road mortality on the species, this monitoring project is designed to assess spatial variation in road mortality. Basic data are collected at the site (sex, size, date, coordinates).

Tags: Christmas Island National Park, Coconut Crab, Human impacts on Natural Systems, Robber Crab
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Litchfield Savanna Wood Block Decomposition Data 2019

Wood block decomposition assessment at the Litchfield Savanna site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

Tags: Decomposition, Fungi, Litchfield Savanna, Termites
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Terrestrial laser scans - Riegl VZ400, individual tree point clouds and cylinder models, Rushworth Forest

Terrestrial laser scans were acquired in native Eucalypt Open Forest (dry sclerophyll Box-Ironbark forest) in Victoria, Australia. Two plots (RUSH06 and RUSH07) with a 40 m radius were established in Rushworth forest and partially harvested in May 2012 to acquire accurate estimates of above-ground biomass. The main tree species in these plots were Eucalyptus leucoxylon, Eucalyptus microcarpa and Eucalyptus tricarpa. Single trees were extracted from the TLS data and quantitative structure models were used to estimate the tree volume directly from the point cloud data. Above-ground biomass (AGB) was inferred from the derived volumes and basic wood density information, and compared with estimates of above-ground biomass derived from allometric equations and destructive sampling. See <a href="https://doi.org/10.1111/2041-210X.12301">Calders et al. (2014)</a> and <a href="https://apo.org.au/node/234726">Murphy et al. (2014)</a> for further information.

Tags: vegetation carbon content
Organization: Terrestrial Ecosystem Research Network's Data Discovery