AndreaBozzo/ceres-open-data-index huggingface dataset:
Red Dirt Melon Farm 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 August 2011 while the site supported tropical savanna. The site was part of a deforestation experiment measuring greenhouse gas exchange during conversion of forest to farmland. The land was being cultivated for watermelon production from 2013.

Tags: AU-RDF, Eddy Covariance, deforestation, woody savanna
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Snow Gum 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 PyFluxPro as described by Isaac et al. (2017) 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.

The Snow Gum flux tower site is supported by the Australian Mountain Research Facility (AMRF) and the Terrestrial Ecosystem Research Network (TERN).Positioned on Mount Kosciuszko at an elevation of 1600 meters, the site receives an average annual precipitation of approximately 1600mm and is nestled amongst Snow Gum woodland.

Tags: AU-Sno, FLUXNET ID
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Ridgefield 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 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 m. Climate information comes from the nearby Pingelly BoM AWS station 010626 (1991 to 2016) and shows mean annual precipitation is approximately 445 mm with highest rainfall in June and July of 81 mm each month. Maximumum and minuimum annual rainfall is 775 and 217 mm, respectively. Maximum temperatures range from 31.9°C (in Jan) to 15.4°C (in July), while minimum temperatures range from 5.5°C (in July) to 16.0 °C (in Feb).

Tags: AU-Rgf, Eddy Covariance, dryland agriculture, pasture
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Howard Springs 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 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
Seasonal ground cover statistics - Landsat, JRSRP algorithm, QLD coverage

This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product at https://portal.tern.org.au/metadata/TERN/b9c2e3d3-0dc4-4599-a1dd-6affb0ad3f74.

Long term temporal statistic products derived from the seasonal ground cover product for each fraction. Statistics include: 5th percentile minimum, mean, median, 95th percentile maximum, standard deviation and observation count. There is one raster image for each season and each bare and green fraction for the full time series of imagery available. Min/max (5th and 95th percentile) products are also made for each fraction using all seasonal ground cover images available.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Whroo 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 site was classified as box woodland, dominated by two main Eucalypt species:<em>Eucalyptus microcarpa</em> (Grey Box) and <em>Eucalyptus leucoxylon</em> (Yellow Gum). Elevation of the site is close to 165 m and mean annual precipitation from a nearby Bureau of Meteorology site measured 558 mm. Maximum temperatures ranged from 29.8°C (in January) to 12.6°C (in July), while minimum temperatures ranged from 14.2°C (in February) to 3.2°C (in July). Maximum temperatures varied on a seasonal basis by approximately 17.2°C and minimum temperatures by 11.0°C.The instrument mast is 36m 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 were measured above the canopy. Soil heat fluxes were measured and soil moisture content was gathered using time domain reflectometry. 

Tags: AU-Whr, dry sclerophyll woodland, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Wombat State Forest 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).

Wombat State Forest site is a secondary re-growth forest that was last harvested in 1980. Dominant tree species are <em>Eucalyptus obliqua</em> (messmate stringybark), <em>Eucalyptus radiata</em> (narrow leaf peppermint) and <em>Eucalyptus rubida</em> (candlebark) with an average canopy height of 25&nbsp;m. The understorey consists mainly of patchy grasses and the soil is a silty-clay overlying clay. The forest is managed by the Department of Sustainability and Environment and management includes selective harvesting and prescribed burning regimes. The climate of the study area is classified as cool-temperate to Mediterranean with cold and wet winters (May-August) and warm and dry summers (December-February) with temperatures between 1 and 30&nbsp;°C and mean annual air temperature of 12.1&nbsp;°C. Annual rainfall is approximately 871&nbsp;mm (142 year long-term average). Coherent automated measurements of soil greenhouse gas fluxes (CO2, CH4 and N2O) were collected using a trailer-mounted mobile laboratory - Fourier transform infra-red (FTIR) spectrometer from 2010 to 2016. Measurement height was originally 30&nbsp;m but increased to 33&nbsp;m in January 2017.

Tags: AU-Wom, dry sclerophyll forest, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TGB Osborn (Koonamore) Vegetation Reserve, Rabbit Warren Data

The 2025 version is now superseded. Please find the 2026 version of this record here: <a href="https://dx.doi.org/10.25901/nb1y-3e31">Adelaide University &amp; Specht, A. (2026). TGB Osborn (Koonamore) Vegetation Reserve, Rabbit Warren Data. Version 2.1. Terrestrial Ecosystem Research Network. Dataset. </a>


The record comprises data on rabbit (<em>Oryctolagus cuniculus</em> L.) warren surveys conducted within the TGB Osborn (Koonamore) Vegetation Reserve (KVR) from 1977 to 2014 as part of ongoing rabbit control efforts. The Reserve was divided into 400x400 m grid squares (with exceptions for row 5 and column 6), and warrens were identified based on the presence of at least four rabbit holes. In some years, the entire Reserve was surveyed; in others, only a subset was covered. All identified warrens or holes were fumigated and filled following detection.


This is version 2.1 of the TGB Osborn Rabbit Warren data release and supersedes any previous versions. Change log for the collection: 
<ul>
<li>V2.1, 2026-02-16; Specht, Miranda Fittock and Arun Singh Ramesh; Ensured dates recorded were in ISO format YYYY-MM-DD. Entries edited, anomalies corrected, and metadata (this file) expanded to better explain the methodology used.</li>
<li>

V2, 2025-04-29; Alison Specht; Separated data, created and organised data files to comply with FAIR standards, aligned vocabularies with the TERN vocabularies and created comprehensive metadata.

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</li>
<li>

V1, 2008-2014; Russell Sinclair; Digitised field data sheets made available through the AEKOS-TERN portal via html screens only. V1 metadata only available through the AEKOS portal.

&nbsp;
</li>
</ul>

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Tags: Enclosure, KVR, Long-term Monitoring, Pest Control, TGB Osborn Vegetation Reserve, Warren
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Maximum Entropy Production Evapotranspiration for Australia 2003-2013

Evaporation, Transpiration, and Evapotranspiration Products for Australia based on the Maximum Entropy Production model (MEP). This record is an introduction of a method into the MEP algorithm of estimating the required model parameters over the entire continent of Australia through the use of pedotransfer function, soil properties and remotely sensed soil moisture data. The algorithm calculates the evaporation and transpiration over Australia on daily timescales at the 0.05 degree (5 km) resolution for 2003 – 2013. The MEP evapotranspiration (ET) estimates were validated using observed ET data from 20 Eddy Covariance (EC) flux towers across 8 land cover types in Australia and compared the MEP-ET at the EC flux towers with two other ET products over Australia; MOD16 and AWRA-L products. The MEP model outperformed the MOD16 and AWRA-L across the 20 EC flux sites, with average root mean square errors (RMSE), 8.21, 9.87 and 9.22 mm/8 days respectively. The average mean absolute error (MAE) for the MEP, MOD16 and AWRA-L were 6.21, 7.29 and 6.52 mm/8 days, the average correlations were 0.64, 0.57 and 0.61, respectively. The percentage bias of the MEP ET was within 20% of the observed ET at 12 of the 20 EC flux sites while the MOD16 and AWRA-L ET were within 20% of the observed ET at 4 and 10 sites respectively. The analysis showed that evaporation and transpiration contribute 38% and 62%, respectively, to the total ET across the study period which includes a significant part of the “millennium drought” period (2003 – 2009) in Australia. File naming conventions: E – Evaporation T – Transpiration ET – Evapotranspiration For the 8 day ET, Daily T and ET, the suffix nnn indicates day of year, for example: 001 for January 1, 145 for May 25 (leap year) or 26, etc. While for the daily E, the suffix is in the format mmdd (month,day) for example 0101 for January 1, 0525 for May 25.

Tags: Maximum Entropy Production, Remote Sensing MODIS, Transpiration
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Rainforest Phenocam Images and Phenology Data Collection

Fixed cameras installed at TERN Robson Creek Rainforest 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 25 hectare site lies on the Atherton Tablelands in the wet tropical rainforests of Australia at 680-740 m elevation. It is situated in Danbulla National Park within the Wet Tropics World Heritage Area. The forest is classified as Regional Ecosystem (RE) 7.3.36a, complex mesophyll vine forest. The climate is seasonal with approximately 60% of rain falling between January and March and the landform is moderately inclined with a low relief. There are 208 species in the site, and average canopy height is 28 m, ranging from 23 to 44 m. All stems ≥ 10 cm diameter are measured, tagged and mapped. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/robson-creek-rainforest-supersite/. 


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

Tags: Core 1 ha, TERN Ecosystem Processes, fnqr_robson, phenocam images, phenology transiton, vegetation colour, vegetation greeness, vegetation phenology
Organization: Terrestrial Ecosystem Research Network's Data Discovery
NSW Forest Monitoring and Improvement Program Forest Plot Network Ground Based Lidar Pilot

Data is provided for fourteen native forest plots in NSW measured in April 2021 during a pilot of potential field measurement methods for the state-wide forest plot network as part of the NSW Forest Monitoring and Improvement Program. Data includes tree height, diameter, canopy cover, species composition, coarse woody debris, fuel hazard, Biodiversity Assessment Method structure, as well as raw and processed data from terrestrial LiDAR scans.

Tags: Forest, Hovermap, Plot, Terrestrial Lidar
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Ridgefield Flux Data Release 2025_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 (v3.4.21) 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
Great Western Woodlands Flux Data Collection

This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in temperate eucalypt woodland using eddy covariance techniques. 

The Great Western Woodlands (GWW) comprise a 16 million hectare mosaic of temperate woodland, shrubland and mallee vegetation in south-west Western Australia. The region has remained relatively intact since European settlement, owing to the variable rainfall and lack of readily accessible groundwater. The woodland component is globally unique in that nowhere else do woodlands occur at as little as 220 mm mean annual rainfall. Further, other temperate woodlands around the world have typically become highly fragmented and degraded through agricultural use. The Great Western Woodlands Site was established in 2012 in the Credo Conservation Reserve. The site is in semi-arid woodland and was operated as a pastoral lease from 1907 to 2007.  The core 1 ha plot is characterised by <em>Eucalyptus salmonophloia</em> (salmon gum), with <em>Eucalyptus salubris</em> and <em>Eucalyptus clelandii</em> dominating other research plots.  The flux station is located in Salmon gum woodland. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-supersite/ . This data is also available at http://data.ozflux.org.au .

Tags: AU-GWW, Eddy Covariance, sparse eucalypt woodland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Chowilla Flux Data Release 2023_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 (v3.4.15) 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 Calperum Chowilla site was established in July 2010 and is managed by the University of Adelaide, coordinated by Prof Wayne Meyer and Prof David Chittleborough of the Landscape Futures Program as part of the Environment Institute. This is a former sheep grazing property that has been destocked and is being managed as a conservation area in this type of ecosystem. The landscape is flat with a series of low east–west sand dunes. The dunes are remnants of a previous dry era and are mostly now stabilized by mallee (multi-stemmed Eucalypt trees) and various shrubs. It is a semi-arid environment fringing the River Murray floodplains of the Riverland. 

Tags: AU-Cpr, mallee woodland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Alpine Peatland 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 (v3.4.18) 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 Alpine Peatland flux station was established in 2017 at Heathy Spur I, an alpine sphagnum bog on the Bogong High Plains recognised by Parks Victoria as a reference ecosystem for this endangered ecological community. The vegetation is dominated by the peat-forming moss <em>Sphagnum cristatum</em>, as well as typical peatland species including candle heath (<em>Richea continentis</em>), alpine baeckea (<em>Baeckea gunniana</em>) and rope rush (<em>Empodisma
minus</em>). The Alpine Peatland tower typically experiences a mild growing season from October to June and 2-3 months of snow cover from July to September.

Tags: AU-APL, Alpine
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Yanco 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).

This is a topographically flat area, primarily comprised of the following soil types: sandy loams, scattered clays, red brown earths, transitional red brown earth, sands over clay and deep sands. Stream valleys and layered soil and sedimentary materials are found across the landscape.

The flux station tower extends to 20&nbsp;m, however flux measurements are recorded from slightly lower than this. Mean annual precipitation from the nearby Bureau of Meteorology is 465&nbsp;mm. Maximum temperatures ranged from 16.6&nbsp;°C (in July) to 37.4&nbsp;°C (in January), while minimum temperatures ranged from 11.8&nbsp;°C (in July) to 29.0&nbsp;°C (in January). Maximum temperatures varied on a seasonal basis by approximately 20.8&nbsp;°C and minimum temperatures by 17.2&nbsp;°C. 

The site is within a wider research area (60 x 60&nbsp;km) that supports a network of flux stations, which have been in operation since late 2001.

Tags: AU-Ync, JAXA, bare earth, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Collie 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 Collie flux station was located approximately 10&nbsp;km southeast of Collie, near Perth, Western Australia. It was established in August 2017 and stopped measuring in November 2019. 

Tags: AU-Col, dry eucalypt woodland, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery