AndreaBozzo/ceres-open-data-index huggingface dataset:
Tumbarumba Flux Data Release 2024_v2

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).

Tumbarumba flux station is located in Bago State Forest in south eastern New South Wales. It was established in 2000 and is managed by CSIRO Marine and Atmospheric Research. The forest is classified as wet sclerophyll, the dominant species is <em>Eucalyptus delegatensis</em>, and average tree height is 40&nbsp;m. Elevation of the site is 1200&nbsp;m and mean annual precipitation is 1000&nbsp;mm. Bago and Maragle State Forests are adjacent to the south west slopes of southern New South Wales and the 48,400&nbsp;ha of native forest have been managed for wood production for over 100 years. The instrument mast is 70&nbsp;m tall. Fluxes of heat, water vapour and carbon dioxide are measured using the open-path eddy flux technique. Supplementary measurements above the canopy include temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation. Profiles of temperature, humidity and CO2 are measured at seven levels within the canopy. Soil moisture content is measured using time domain reflectometry. Soil heat fluxes and temperature are also measured. Hyper-spectral radiometric measurements are being used to determine canopy leaf-level properties.

Tags: AU-Tum, wet sclerophyll
Organization: Terrestrial Ecosystem Research Network's Data Discovery
NSW Forest Carbon Stock - Aboveground, Belowground and Dead Organic Matter Carbon Mass 1990-2021

The carbon balance of NSW forests project is part of the NSW Forest Monitoring and Improvement Program. The Mullion Group was engaged to develop a spatial time-series dataset of forest carbon history for the state of NSW at ~25&nbsp;m resolution. The project used FLINTpro software to integrate historical environmental and land management data to model carbon stock and fluxes. This dataset details the annual total forest carbon stock which is the sum of aboveground, belowground and dead organic matter carbon stocks. Aboveground biomass refers to the amount of carbon stored within aboveground forest components (pools) which includes leaves, branches, bark and stems. Belowground biomass refers to the amount of carbon stored within belowground forest components (pools) which includes coarse and fine roots. Dead organic matter refers to the amount of carbon stored within dead forest components (pools) which includes leaf litter, branch litter, bark litter, stem litter, and dead roots. Harvested wood products in use refers to the amount of carbon stored in wood products (excluding wood products in landfill). Harvested wood products in use are included in carbon stock and flux results, but excluded from spatial outputs. Carbon stored within soil is not included within any of these datasets.

This dataset supersedes <a href="https://portal.tern.org.au/metadata/TERN/57abd38f-eb38-4868-a2ea-072aec1b9176">NSW Forest Carbon Stock - Aboveground, Belowground and Dead Organic Matter Carbon Mass 1990-2020</a>

Tags: Forest Biomass, Forest Carbon, Greenhouse Gas Inventory, NSW Carbon Monitoring Project, NSW Forests
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Adelaide River Flux Data Release 2021_v1

This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.0) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>.
 
 The ecosystem was dominated by <em>Eucalyptus tectifica</em> and <em>Planchonia careya </em>.  Elevation of the site was close to 90m and mean annual precipitation at a nearby Bureau of Meteorology site was 1730mm. Maximum temperatures ranged from 31.4°C (in June) to 36.8°C (in October) while minimum temperatures range from 16.2°C (in July) to 25.1°C (in December). Maximum temperature varied seasonally by approximately 5.4°C and minimum temperatures varied by approximately 8.9°C.The instrument mast was 15 meters tall. Heat, water vapour and carbon dioxide measurements were taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation were measured above the canopy. Soil heat fluxes are measured and soil moisture content was gathered using time domain reflectometry. 

Tags: AU-Ade, Eddy Covariance, woody savanna
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Arcturus Emerald Flux Data Release 2023_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 (v3.5.0) 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 Arcturus greenhouse gas (GHG) monitoring station was established in July 2010, 48 km southeast of Emerald, Queensland. Flux tower measurements were carried out from June 2011 to early 2014. The station was part of a collaborative project between Geoscience Australia (GA) and CSIRO Marine and Atmospheric Research (CMAR). The elevation of the site is approximately 170&nbsp;m asl and mean annual precipitation is 572&nbsp;mm. The tower bordered 2 land use types to the west lightly forested tussock grasslands; to the east crop lands, cycling through fallow periods. The instruments were installed on a square lattice tower with an adjustable pulley lever system to raise and lower the instrument arm. The tower was 5.6&nbsp;m tall with the instrument mast extending a further 1.1&nbsp;m above, totalling a height of 6.7&nbsp;m. Fluxes of heat, water vapour, methane and carbon dioxide were measured using the open-path eddy flux technique. Supplementary measurements above the canopy included temperature, humidity, windspeed, wind direction, rainfall, and the four components of net radiation. Soil heat flux, soil moisture and soil temperature measurements were also collected. 

Tags: AU-Emr, Grasslands
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Ridgefield Flux Data Release 2025_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 (v3.4.18) 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 is located within an area of dryland agriculture. The surrounding area is dominated by broadacre farming practices. The vegetation cover is predominantly pasture. Elevation of the site is close to 330&nbsp;m. 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. Maximumum and minuimum 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).

Tags: AU-Rgf, Eddy Covariance, dryland agriculture, pasture
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TGB Osborn (Koonamore) Vegetation Reserve, Photopoint Data

This record is a collection of photopoints from surveys conducted in the TGB Osborn Vegetation Reserve (or Koonamore Vegetation Reserve (KVR)) since the early 1900s. Photographs have been taken approximately annually from 1926 until 2024 at a series of set positions (photopoints) by staff and students of the University of Adelaide. The duration of the record available digitally extends from 1907 (observations) to 2008 (photographs). These include stand-alone positions, corners of quadrats and points along transects. Photographs may have been taken in more than one direction at each point, and/or in black and white or colour. Each photograph was annotated according to what could be seen on the photograph, individual species identified, numbers given to each plant (not always reliable from event to event). Occasionally information on canopy diameter measured along EW and NS direction, plant height and plant mortality status is presented.



This is version 2.1 of the TGB Osborn Photopoint data release and supersedes any previous versions. The change log for the data is as follows:
<ul>
<li>

V2.1, 2026-02-04; Fittock, Specht and Arun Singh Ramesh; Updated dates to comply with ISO standards (YYYY-MM-DD). Clarified anomalies in the record and inserted NA in blank cells, cells with 'no comment' etc.

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</li>
<li>

V2, 2025-05-27; Alison Specht: cleaned observation data file, correcting scientific namesgathered images, catalogued them, sorted them into those related to measurement types; Miranda Fittock, Wilma Karsdorp and Javier Sanchez Gonzalez: re-named photos to be consistent throughout (photopointID_yyyymmdd). Arranged for them to be uploaded into TERN EcoImages; Fittock and Specht: entered photograph names into observation file and delivered the file to the TERN Data Discovery Portal; Specht: created this metadata file including catalogue of holdings.

&nbsp;
</li>
<li>

V1, 2008-2014; Russell Sinclair; Digitised field data sheets and computer records delivered to the AEKOS TERN portal. Added required V1 metadata in the AEKOS-TERN portal.

&nbsp;
</li>
</ul>

Tags: Enclosure, Environmental Monitoring, KVR, Long-term Monitoring, Photopoint, TGB Osborn Vegetation Reserve, Time Series
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Mallee Phenocam Images and Phenology Data Collection

Fixed cameras installed at the Calperum Mallee 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 Calperum Mallee SuperSite was established in 2011 and is located on Calperum Station, near Renmark, in South Australia. The property was a pastoral grazing lease for nearly 150 years, and has suffered grazing-induced modifications to its ecosystems that are now being actively restored. It includes mallee woodlands (burnt in 2014) and riverine vegetation. The main plant species are black box, river red gum and lignum. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite/ .




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

Tags: Callitris, Core 1 ha, Floodplain, SASMDD0001, TERN Ecosystem Processes, clpm, mallee woodland, phenocam images, phenology transiton, vegetation colour, vegetation greeness, vegetation phenology
Organization: Terrestrial Ecosystem Research Network's Data Discovery
AusPlots Woodlands Protocols Field Trial Data 2015 v1

The dataset includes two main components: (1) Tree survey - data on the species, diameter and height of individual trees, along with a count of seedlings and saplings; and (2) Coarse woody debris - data on the size and decay class of downed coarse woody debris encountered in the plots.

Tags: Ecosystem Assessment And Management (9605), Environmental And Natural Resource Evaluation (9606), Environmental Policy, Legislation And Standards (9607), Flora, Fauna And Biodiversity (9608), Flora, Fauna and Biodiversity at Regional or Larger Scales (960805), Land And Water Management (9609), Land and Water Management, Long-term Community Monitoring, Remnant Vegetation And Protected Conservation Areas (9613), Species Composition
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Howard Springs Flux Data Release 2026_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 (v3.4.23) 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 site is classified as an open woodland savanna. The overstory is co-dominated by tree species <em>Eucalyptus miniata</em> and <em>Eucalyptus tentrodonata</em>, and average tree height is 14-16&nbsp;m. Elevation of the site is close to 64&nbsp;m and mean annual precipitation is 1750&nbsp;mm. Maximum temperatures range from 30.4&nbsp;°C (in July) to 33.2&nbsp;°C (in November), while minimum temperatures range from 19.3&nbsp;°C (in July) to 25.4&nbsp;°C (in November). Therefore, the maximum and minimum range varies from 7&nbsp;°C (wet season) to 11&nbsp;°C (dry season).

The instrument mast is 23&nbsp;m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.

Tags: AU-How, Eddy Covariance, open woodland savanna
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Long-term Australian Daytime AVHRR - NOAA and Earth Observation Satellite, Australasian Coverage

The Advanced Very High Resolution Radiometer (AVHRR) and AVHRR/3 sensors have been carried on the US NOAA polar orbiting satellites since the 1980s. These data have been acquired via direct reception from the satellite by reception stations located in Australia. CSIRO has stitched together data received by different stations and agencies to compile a national high quality data set.  The daylight satellite overpasses have been extracted from this data set for each day in the 30 year period commencing 1 April 1992. The data have been geolocated, and calibrated to produce imagery channels of solar reflectance and brightness temperature using community published methods. Satellite view and sun illumination angles for each pixel are provided, together with a preliminary cloud mask based on the CLAVR algorithm. The spatial resolution is ~1&nbsp;km and temporal coverage is daily. The reprojected data set (in EPSG:4326, lon-lat) is available via the CSIRO EASI hub.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Howard Springs Flux Data Release 2024_v2

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 site is classified as an open woodland savanna. The overstory is co-dominated by tree species <em>Eucalyptus miniata</em> and <em>Eucalyptus tentrodonata</em>, and average tree height is 14-16&nbsp;m. Elevation of the site is close to 64&nbsp;m and mean annual precipitation is 1750&nbsp;mm. Maximum temperatures range from 30.4&nbsp;°C (in July) to 33.2&nbsp;°C (in November), while minimum temperatures range from 19.3&nbsp;°C (in July) to 25.4&nbsp;°C (in November). Therefore, the maximum and minimum range varies from 7&nbsp;°C (wet season) to 11&nbsp;°C (dry season).

The instrument mast is 23&nbsp;m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.

Tags: AU-How, Eddy Covariance, open woodland savanna
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Airborne Laser Scanning (ALS) Data Across The Wet Tropics of Queensland, 2024

This data contains Airborne Lidar Scans data that were acquired on 14 permanent plots in far North Queensland, during August – September 2024. This dataset contains the georeferenced, noise-classified and tiled point clouds for 14 ROIs covering these plots. The data are stored in LAS v1.4 files compressed using laszip.

Tags: ALS, Far North Queensland, LiDAR, Rainforest
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Transport Areas

Please note this data is updated weekly. To download data click on the layer's tab below and select a layer. It may take a few seconds for the download page to load.

Tags: adac, assets, bioretention-maintenance-area, building, conduit, culvert-system, demarcation, electrical-fitting, flood-alert-gauge, importanttree, infrastructure-line, infrastructure-polygon, landfill-line, landfill-point, landfill-polygon, marine-line, marine-polygon, monitoring-system-point, open-space-areas, open-space-line, open-space-maintenance-areas, open-space-point, parks-and-complexes, parks-infrastructure-maintenance-area, pathway, plant-and-equipment-point, plant-and-equipment-polygon, precincts, road-centre-line, roads-maintenance-area, signage, sportsfields, stockpile-maintenance-area, stormwater-basin, stormwater-line, stormwater-point, street-tree, trails, transport-areas, transport-line, transport-point, waste-facility, water-point, water-polygon, waterbody-maintenance-area, weigh-bridge-point, weigh-bridge-polygon
Organization: City of Moreton Bay's Data Hub
Digital Hemispherical Photography (DHP) from TERN Boyagin Wandoo Woodland SuperSite

Digital Hemispheric Photography (DHP) upward-looking images are collected up to three times per year to capture vegetation cover at Boyagin Wandoo Woodland SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). 

The Boyagin Wandoo Woodland SuperSite was established in 2017 in Wandoo Woodland, which is surrounded by broadacre farming. About 80% of the overstorey cover is <em>Eucalyptus accedens</em>. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ .

Digital Cover Photography was also collected at Boyagin from 2019.

Tags: Digital Hemispheric Photography, Foliage Projective Cover, TERN Ecosystem Processes, WAAAVW0004, leaf area index
Organization: Terrestrial Ecosystem Research Network's Data Discovery
State Controlled Roads




The Active Transport Network Local Government Infrastructure Plan (LGIP) is part of the Moreton Bay Regional Council Planning Scheme. MBRC Planning Scheme will help to respond to growth and development across the Moreton Bay Region. It is a statutory document regulating how land can be used and developed. The MBRC planning scheme replaces the three previous planning schemes created by the former Caboolture, Pine Rivers and Redcliffe councils.

Tags: autogen, bicycle, bikeway, cycling, footpath, infrastructure, lgip, planning-scheme, walking
Organization: City of Moreton Bay's Data Hub
Existing Active Transport Network




The Active Transport Network Local Government Infrastructure Plan (LGIP) is part of the Moreton Bay Regional Council Planning Scheme. MBRC Planning Scheme will help to respond to growth and development across the Moreton Bay Region. It is a statutory document regulating how land can be used and developed. The MBRC planning scheme replaces the three previous planning schemes created by the former Caboolture, Pine Rivers and Redcliffe councils.

Tags: autogen, bicycle, bikeway, cycling, footpath, infrastructure, lgip, planning-scheme, walking
Organization: City of Moreton Bay's Data Hub
Future Active Transport Network




The Active Transport Network Local Government Infrastructure Plan (LGIP) is part of the Moreton Bay Regional Council Planning Scheme. MBRC Planning Scheme will help to respond to growth and development across the Moreton Bay Region. It is a statutory document regulating how land can be used and developed. The MBRC planning scheme replaces the three previous planning schemes created by the former Caboolture, Pine Rivers and Redcliffe councils.

Tags: autogen, bicycle, bikeway, cycling, footpath, infrastructure, lgip, planning-scheme, walking
Organization: City of Moreton Bay's Data Hub
Service Catchments




The Active Transport Network Local Government Infrastructure Plan (LGIP) is part of the Moreton Bay Regional Council Planning Scheme. MBRC Planning Scheme will help to respond to growth and development across the Moreton Bay Region. It is a statutory document regulating how land can be used and developed. The MBRC planning scheme replaces the three previous planning schemes created by the former Caboolture, Pine Rivers and Redcliffe councils.

Tags: autogen, bicycle, bikeway, cycling, footpath, infrastructure, lgip, planning-scheme, walking
Organization: City of Moreton Bay's Data Hub
LGIP Active Transport Feature Layer - December 2021




The Active Transport Network Local Government Infrastructure Plan (LGIP) is part of the Moreton Bay Regional Council Planning Scheme. MBRC Planning Scheme will help to respond to growth and development across the Moreton Bay Region. It is a statutory document regulating how land can be used and developed. The MBRC planning scheme replaces the three previous planning schemes created by the former Caboolture, Pine Rivers and Redcliffe councils.

Tags: autogen, bicycle, bikeway, cycling, footpath, infrastructure, lgip, planning-scheme, walking
Organization: City of Moreton Bay's Data Hub