AndreaBozzo/ceres-open-data-index huggingface dataset:
Alice Springs Mulga Flux Data Release 2022_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 (v3.3.3) 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 Alice Springs Mulga flux station is located on Pine Hill cattle station, near Alice Springs in the Northern Territory. The woodland is characterized by the Acacia aneura canopy, which is 6.5m tall on average. Elevation of the site is 606m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45km distant) Bureau of Meteorology station is 305.9mm but ranges between 100mm in 2009 to 750mm in 2010. Predominant wind directions are from the southeast and east.The extent of the woodland is 11km to the east of the flux station and 16km to the south. The soil is red sandy clay (50:50 sand:clay) overlying a 49m deep water table. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years.The instrument mast is 13.7m tall. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 11.6m. Supplementary measurements above the canopy include temperature and humidity (11.6m), windspeed and wind direction (9.25m), downwelling and upwelling shortwave and longwave radiation (12.2m). Precipitation is monitored in a canopy gap (2.5m). Supplementary measurements within and below the canopy include barometric pressure (1m), wind speed (2m, 4.25m and 6.5m), and temperature and humidity (2m, 4.25m and 6m). Below ground soil measurements are made in bare soil, mulga, and understory habitats and include ground heat flux (0.08m), soil temperature (0.02m – 0.06m) and soil moisture (0 – 0.1m, 0.1 – 0.3m, 0.6 – 0.8m and 1.0 – 1.2m). Ancillary measurements include soil water and carbon fluxes, leaf water potential, leaf gas exchange, stem basal area, stem growth, litter production, leaf area index, stem hydraulic conductance, and carbon and water stable isotope ratios. The site was established in September 2010 in conjunction with the Woodforde River NGCRT Superscience Site and is managed by the University of Technology Sydney.For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/ 

Tags: AU-ASM, Mulga woodlands
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Howard Springs Flux Data Release 2022_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 (v3.4.7) 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
Woody Age Since Disturbance - Sentinel-2, DETSI Algorithm, QLD Coverage

The woody vegetation extent for Queensland is attributed with an estimated age in years since the last significant disturbance. The method uses a sequential Conditional Random Fields classifier applied to Landsat time series starting 1988 to predict woody cover over the time period. A set of heuristic rules is used to detect and track regrowing woody vegetation in the time series of woody probabilities and record the approximate start and end dates of the most recent regrowth event. Regrowth detection is combined with the Statewide Land and Trees Study (SLATS) Landsat historic clearing data to provide a preliminary estimate of age since disturbance for each woody pixel in the woody extent. The 'last disturbance' may be due to a clearing event or other disturbance such as fire, flood, drought-related death etc. Note that not all recorded disturbances may result in complete loss of woody vegetation, so the estimated age since disturbance does not always represent the age of the ecosystem. 
The age since disturbance product is derived from multiple satellite image sources and derived products which represent different scales and resolutions: Landsat (30&nbsp;m), Sentinel-2 (10&nbsp;m) and Earth-i (1&nbsp;m).

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Litchfield 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>.
  Located in a 5 square kilometre block of relatively uniform open-forest savanna, the site is representative of high rainfall, frequently burnt tropical savanna. Tropical savanna in Australia occupies 1.9 million square km across the north and given the extent of this biome, understanding biogeochemical cycles, impacts of fire on sequestration, vegetation and fauna is a national priority. In the NT, savanna ecosystems are largely intact in terms of tree cover, with only modest levels of land use change. Despite this, there is evidence of a loss of biodiversity, most likely due to shifts in fire regimes and a loss of patchiness in the landscape. Approximately 40% of the savanna burn every year and understanding fire impacts on fauna and flora is essential for effective land management. 

Tags: AU-Lit, Eddy Covariance, open-forest savanna, tropical savanna
Organization: Terrestrial Ecosystem Research Network's Data Discovery
TGB Osborn (Koonamore) Vegetation Reserve, Photopoint Data

The 2025 version is now superseded. Please find the 2026 version of this record here: <a href=" https://dx.doi.org/10.25901/qajn-zy89">Adelaide University &amp; Specht, A. (2026). TGB Osborn (Koonamore) Vegetation Reserve, Photopoint Data. Version 2.1. Terrestrial Ecosystem Research Network. Dataset. </a>


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.

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</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
Wombat State Forest 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).

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
Gingin 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 Gingin site was established in June 2011 by CSIRO and is now managed by Edith Cowan University Centre for Ecosystem Management. The site is a natural woodland of high species diversity. The overstorey is dominated by <em>Banksia</em> spp. mainly <em>Banksia menziesii</em>, <em>Banksia attenuata</em>, and <em>Banksia grandis</em> with a height of around 7&nbsp;m and leaf area index of about 0.8. There are occasional stands of eucalypts and acacia that reach to 10&nbsp;m and have a denser foliage cover. There are many former wetlands dotted around the woodland, most of which were inundated all winter and some had permanent water 30 years ago. The watertable has now fallen below the base of these systems and they are disconnected and are no longer permanently wet. The fine sediments, sometimes diatomaceous, hold water and they have perched watertables each winter. There is a natural progression of species accompanying this process as they gradually become more dominated by more xeric species. The soils are mainly Podosol sands, with low moisture holding capacity. Field capacity typically about 8 to 10&nbsp;%; and in summer these generally hold less than 2&nbsp;% moisture. The water table is at about 8.5&nbsp;m below the surface, and a WA Dept of water long-term monitoring piezometer is near the base of the tower. The instrument mast is 14.8&nbsp;m tall, with the eddy covariance instruments mounted at 14.8&nbsp;m. Fluxes of carbon dioxide, water vapour and heat are quantified with open-path eddy covariance instrumentation. Ancillary measurements include temperature, air humidity, wind speed and direction, precipitation, incoming and outgoing shortwave radiation, incoming and outgoing long wave radiation, incoming total and diffuse PAR and reflected PAR. Soil water content and temperature are measured at six soil depths. Surface soil heat fluxes are also measured. A COSMOS Cosmic ray soil moisture instrument is installed, along with a logged piezometer, and nested piezometers installed with short screens for groundwater profile sampling. To monitor the watertable gradient, piezometers will be installed 500&nbsp;m east and west of the tower.  

Tags: AU-Gin, banksia heath woodland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Loxton Flux Data Collection

This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer from an Almond Orchard in South Australia's Riverland, using eddy covariance techniques.   
The Loxton site was established in August 2008 and decommissioned in June 2009. The orchard was divided into 10 ha blocks (200 m by 500 m with the long axis aligned north–south) and the flux tower was situated at 34.47035°S and 140.65512°E near the middle of the northern half of a block of trees. The topography of the site was slightly undulating and the area around the tower had a slope of less than 1.5°. The orchard was planted in 2000 with an inter-row spacing of 7 m and a within row spacing of 5 m. Tree height in August 2008 was 5.5 m. The study block consists of producers, Nonpareil, planted every other row, and pollinators planted as alternating rows of Carmel, Carmel and Peerless, and Carmel and Price. All varieties were planted on Nemaguard rootstock. All but 31 ha of the surrounding orchard was planted between 1999 and 2002. Nutrients were applied via fertigation. Dosing occurred between September and November and in April with KNO3, Urea, KCl, and NH4NO3 applied at annual rates of 551, 484, 647, and 113 kg/ha, respectively. The growth of ground cover along the tree line was suppressed with herbicides throughout the year. Growth in the mid-row began in late winter and persisted until herbicide application in late November. 
The research was supported with funds from the National Action Plan for Salinity via the Centre for Natural Resource Management, and the River Murray Levy.This data is also available at http://data.ozflux.org.au . 

Tags: AU-Lox, deciduous broadleaf forests
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Fletcherview Tropical Rangeland 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).

Fletcherview Tropical Rangeland SuperSite was established in 2021 at James Cook University’s Fletcherview Research Station, a fully operational outback cattle station located 50&nbsp;km west of Townsville, Queensland. The site is used for cattle grazing and is characterised by tall open savanna. The vegetation is dominated by native grasses such as blackspear and kangaroo grasses, as well as introduced species like buffel grass, signal grass and leucaena. Fletcherview typically experiences a dry and wet season, with most rainfall occurring between January and April.

Tags: fletch, tropical rangeland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Alice Springs Mulga 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 has been processed using PyFluxPro (v3.3.1) 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 Alice Springs Mulga flux station is located on Pine Hill cattle station, near Alice Springs in the Northern Territory. The woodland is characterized by the <em>Acacia aneura</em> canopy, which is 6.5m tall on average. Elevation of the site is 606m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45km distant) Bureau of Meteorology station is 305.9mm but ranges between 100mm in 2009 to 750mm in 2010. Predominant wind directions are from the southeast and east. The extent of the woodland is 11km to the east of the flux station and 16km to the south. The soil is red sandy clay (50:50 sand:clay) overlying a 49m deep water table. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years.The instrument mast is 13.7m tall. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 11.6m. Supplementary measurements above the canopy include temperature and humidity (11.6m), windspeed and wind direction (9.25m), downwelling and upwelling shortwave and longwave radiation (12.2m). Precipitation is monitored in a canopy gap (2.5m). Supplementary measurements within and below the canopy include barometric pressure (1m), wind speed (2m, 4.25m and 6.5m), and temperature and humidity (2m, 4.25m and 6m). Below ground soil measurements are made in bare soil, mulga, and understory habitats and include ground heat flux (0.08m), soil temperature (0.02m &ndash; 0.06m) and soil moisture (0 &ndash; 0.1m, 0.1 &ndash; 0.3m, 0.6 &ndash; 0.8m and 1.0 &ndash; 1.2m). Ancillary measurements include soil water and carbon fluxes, leaf water potential, leaf gas exchange, stem basal area, stem growth, litter production, leaf area index, stem hydraulic conductance, and carbon and water stable isotope ratios. The site was established in September 2010 in conjunction with the Woodforde River NGCRT Superscience Site and is managed by the University of Technology Sydney.For additional site information, see<a href="%20https://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>

Tags: AU-ASM, Mulga woodlands
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Samford Peri-Urban BASE Contextual, Soil Physico-Chemical Data 2013

Soil collection and analysis of chemical and physical attributes was carried out at the Samford Peri-Urban site to provide contextual data for the Biomes of Australian Soil Environments (BASE) soil microbial diversity project.

Tags: BASE, Chemistry, Lawn, Pasture, Physico-chemical, SEQP, Samford, Soil
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Fletcherview Tropical Rangeland Flux Data Release 2022_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 (v3.4.7) 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).

Fletcherview Tropical Rangeland SuperSite was established in 2021 at James Cook University’s Fletcherview Research Station, a fully operational outback cattle station located 50&nbsp;km west of Townsville, Queensland. The site is used for cattle grazing and is characterised by tall open savanna. The vegetation is dominated by native grasses such as blackspear and kangaroo grasses, as well as introduced species like buffel grass, signal grass and leucaena. Fletcherview typically experiences a dry and wet season, with most rainfall occurring between January and April.

Tags: fletch, tropical rangeland
Organization: Terrestrial Ecosystem Research Network's Data Discovery