AndreaBozzo/ceres-open-data-index huggingface dataset:
Samford Ecological Research Facility 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).

Samford flux station is situated on an improved (<em>Paspalum dilatum</em>) pasture in the humid subtropical climatic region of coastal south-east Queensland. Located only 20&nbsp;km from the centre of Brisbane city, Samford Valley provides an ideal case study to examine the impact of urbanisation and land use change on ecosystem processes. The valley covers an area of some 82&nbsp;km2 and is drained in the southern regions by the Samford creek, which extends some 13&nbsp;km to Samford Village and into the South Pine River. The Samford Valley is historically a rural area experiencing intense urbanisation, with the population increasing almost 50% in the 10 years to 2006 (Morton Bay Regional Council, 2011). Within the Samford valley study region, the Samford Ecological Research Facility (SERF) not only represents a microcosm of current and historical land uses in the valley, but provides a unique opportunity to intensively study various aspects of ecosystem health in a secure, integrated and long term research capacity. Mean annual minimum and maximum temperatures at a nearby Bureau of Meteorology site are 13.1&nbsp;°C and 25.6&nbsp;°C respectively while average rainfall is 1102&nbsp;mm.

Tags: AU-Sam, eddy covariance, pasture
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Sturt Plains 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 located on a low lying plain dominated by Mitchell Grass (<em>Astrebla</em> spp.). Elevation of the site is close to 250&nbsp;m and mean annual precipitation at a nearby Bureau of Meteorology site is 640&nbsp;mm. Maximum temperatures range from 28.4&nbsp;°C (in June/ July) to 39.1&nbsp;°C (in December), while minimum temperatures range from 11.2&nbsp;°C (in July) to 24.4&nbsp;°C (in December).

The instrument mast is 5&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 and net radiation are measured. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.

Ancillary measurements taken at the site include LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, nitrogen and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out at the site in September 2008. Biomass harvest measured: mean live biomass 0.00&nbsp;gm-2 (standard error: 0.00), mean standing dead biomass 163.42&nbsp;gm-2 (standard error: 16.73), mean litter biomass 148.99&nbsp;gm-2 (standard error: 21.32), total mean biomass 312.40&nbsp;gm-2 (standard error: 30.80). Soil consists of: clay 14.47%, silt 51.23%, sand 34.30%.

Tags: AU-Stp, Eddy Covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Gingin 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 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
Cow Bay 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 Cow Bay flux station was established in December 2008 and managed by James Cook University. The forest is classified as complex mesophyll vine forest, there are 94 species in the core 1&nbsp;Ha, and average tree height is 22&nbsp;m. Elevation of the site is 90&nbsp;m and mean annual precipitation is 3935&nbsp;mm. The Daintree Rainforest is one of the most biodiverse forests in Australia. The instruments are mounted on a walk-up tourist tower at 35&nbsp;m. 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, windspeed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation.The early years 2009 - 12 had several data gaps. Shadowing of the radiometric equipment continues to cause artifacts on the radiometers - these can be seen as reduction in downwelling radiation with solar inclination. The site is part of the FNQ Rainforest SuperSite - associated with the Daintree node, which is part of the TERN, Australia. 

Tags: Au-Cow, mesophyll vine forest
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Chemical Footprints Mediate Habitat Selection in Co-occurring Aphids – Aphids Density Data

The record contains information on the number of aphids and chemical footprints of two aphid species. The data was collected in field and laboratory trials, we first examined how plant microsites alter fitness by measuring the fecundity of each species. Next, we tested whether intra- and interspecific pre-inhabitation modify habitat selection in two aphid species. Then we conducted laboratory trials showed that <i>R. maidis</i> displaced <i>R. padi</i>. Through gas chromatography-mass spectrometry analysis and bioassays testing the effects of aphid density and footprint extracts, we found a density-dependent response, with <i>R. padi</i> avoiding locations previously inhabited by <i>R. maidis</i>. Chemical analysis of footprint crude extracts showed a highly abundant compound, 1-hexacosanol, and when presented as the synthetic form also elicited <i>R. padi</i> displacement.

Tags: Cuticular compounds, Fitness, Insecta, Pheromones
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Queensland Southeast Queensland Bioregion Spatial BioCondition, 2019, Version 1.0

Version 1 of the Southeast Queensland Bioregion Spatial BioCondition dataset is superseded by the Version 2 dataset that can be found at: https://doi.org/10.25901/r976-1v85.

Version 1 was an initial demonstration version. The version 1 data has been removed from publication to negate temporal comparisons between v1 (2019) and v2 (2021), as this is a future goal for the product but still in development phase. 

This was a spatial dataset comprising predictions of vegetation condition for biodiversity for the Southeast Queensland Bioregion. The dataset was created using a gradient boosting decision tree (GBDT) model based on eight vegetation specific remote sensing (RS) datasets and 17,000 training sites of known vegetation community and condition state. Condition score was modelled as a function of the difference in the RS space within homogeneous vegetation communities. The product was intended to represent predicted BioCondition for year 2019 rather than any single date.

Tags: gradient boosting decision tree
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Longreach Mitchell Grass Rangeland 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 is located at Rosebank Station, approximately 11&nbsp;km south-east of Longreach in Queensland. The site is arid tussock grassland with a variety of grass species including <em>Astrebla lappacea</em> and <em>Astrebla squarrosa</em> over black vertosol soil that supports sheep and beef cattle grazing. Traditional owners at this site are the Iningai people.

Tags: arid tussock grassland, eddy covariance, mgrl
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Loxton 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 Loxton site was established in August 2008 and decommissioned in June 2009. The orchard was divided into 10&nbsp;ha blocks (200&nbsp;m by 500&nbsp;m with the long axis aligned north–south) and the flux tower was situated at 34.47035&nbsp;°S and 140.65512&nbsp;°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&nbsp;°. The orchard was planted in 2000 with an inter-row spacing of 7&nbsp;m and a within row spacing of 5&nbsp;m. Tree height in August 2008 was 5.5&nbsp;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&nbsp;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&nbsp;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.

Tags: AU-Lox, deciduous broadleaf forests
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Adelaide River 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 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
TGB Osborn (Koonamore) Vegetation Reserve, Vegetation Quadrats Data

There are data from 30 quadrats in the TGB Osborn Vegetation Reserve, varying in size and duration of measurements, several of which are shown in the Reserve map. They range in size from large quadrats (100 x100 m), one 60 x80m, to intermediate (10 x10 m) and small (1x1m and irregular). Most quadrats are inside the reserve but some lie adjacent outside the fenced area.

The data from the quadrats is presented in three different files:(a) the abundance (numbers) of individuals of species within the quadrat, (b) a selection of species measured within the quadrat (subplot), and (c) individual plant locations within the quadrats.

This is version 2.1 of the TGB Osborn Vegetation Quadrat data release and supersedes any previous versions. Change log for the metadata for the collection: 
<ul>
<li>V3, 2026-03-26; Specht and Arun Singh Ramesh; Update to accompany V2.1 data files. Referenced geolocation file (https://doi.org/10.5281/zenodo.19177115). Changed the name 'subplot' to 'subquadrat' as an identifier. Removed data quality columns as no evidence to support them.</li>
<li>

V2.1, 2026-02-06; Specht, Miranda Fittock and Arun Singh Ramesh; Ensured dates recorded were in ISO format YYYY-MM-DD. Updated geolocations, including two new columns, with NA used throughout for missing information. Expanded metadata text to explain better. Updated species list. Checked field comments for accuracy. Added data quality columns.

&nbsp;
</li>
<li>

V2, 2025-0701; Alison Specht; Digitised existing files, splitting them into synchronous categories, removing duplications and correcting errors to comply with FAIR standards. Aligned vocabularies with the TERN vocabularies, updated species names and created comprehensive metadata. Locations verified with David Ladd.

&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 portal.

&nbsp;
</li>
</ul>

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Tags: Abundance, Flora, Geolocation, Individual Plant, KVR, Long-term Monitoring, Quadrat, Sampling Plot, TGB Osborn Vegetation Reserve
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Statewide Landcover and Trees Study (SLATS) Woody Vegetation Change: Regrowth, Clearing and Reports, Queensland

The Statewide Landcover and Trees Study (SLATS) monitors woody vegetation extent and changes in Queensland using Sentinel-2 satellite imagery as its primary tool. This dataset provides annual summaries of woody vegetation clearing and regrowth from the 2018–19 reporting period onward, aligning with an updated Sentinel-2-based methodology introduced in 2018.

The data is presented as three distinct datasets:<ul>
<li>Annual SLATS reports in parquet format, summarising woody vegetation change statistics.</li>
<li>Clearing rasters, which map woody vegetation loss detected during each reporting period.</li>
<li>Regrowth rasters, which map woody vegetation regrowth identifiable from Sentinel-2 imagery during each reporting period.</li>
<blockquote>

/ul&gt;

Each year’s data corresponds to a nominal August-to-August reporting period. Summary statistics are provided at various spatial scales, including state-wide, administrative boundaries, natural resource management regions, divisions, and other authoritative datasets.

These datasets includes data from the 2018–19 onwards SLATS reporting periods. It supersedes and is not directly comparable with SLATS data published for reporting periods up to and including 2017–18, due to a methodological change. Note that regrowth was not reported in 2018–19; values for regrowth in that year are represented as zero in the dataset.
</blockquote></ul>

Organization: Terrestrial Ecosystem Research Network's Data Discovery
South Eastern Queensland 1 Management Event Data Collection

The Management Event collection for the ALTAR site South Eastern Queensland 1 provides a spatiotemporal summary of significant land management events in the managed agroecosystem. 


In cropping and grazing lands, management events, for example, grazing, tillage, mechanical harvest and burning often represent either (1) a considerable lateral transport of carbon and water from the monitored ecosystem or (2) a period when assumptions of the eddy covariance technique may not be met. Correct capture of these events also enables a valuable opportunity to improve understanding on management effects.  For integration into simulation models, historical management event insight may be crucial, but sources may be highly uncertain.


In practice, management event records are often inconsistent between producers and contain sensitive information – to enable sharing and analysis across multiple sites, ALTAR network processing involves translation and denaturing of this information before publication. 

Access to this dataset is available on request subject to agreement. Requests should be directed to the data custodian contactable at: altar.info@qut.edu.au

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Daytime Cloud Type for Himawari-8/9 (HIM_CLD_Day_Type)

This cloud type product is part of the daytime cloud mask and properties collection, which was generated for daytime Himawari-8/9 imagery using the <a href="http://doi.org/10.3389/fenvs.2019.00020">Qin et al. (2019)</a> algorithm for the Australian continent and surrounding waters. The product is provided here in a regular latitude/longitude grid. It is also available in the original Himawari (geostationary) projection (WGS84, sub-satellite longitude = 140.7&deg;E and satellite altitude = 35785863 meters). Please contact the authors for accessing the data, which is located on the Australian National Computational Infrastructure (NCI). Currently, a near-real-time algorithm/processor is being developed to improve data availability, and to extend production to Himawari-10 (2028-2045).

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Alice Springs Mulga 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 Alice Springs Mulga flux station is located on Pine Hill cattle station, approx. 170&nbsp;km north of Alice Springs in the Northern Territory. The woodland is characterised by a mixed <em>Acacia aneura</em> and <em>Acacia aptaneura</em> canopy, with a total standing biomass of 32.5 t/ha and median canopy height of 4.3&nbsp;m (tallest trees reach 8.9&nbsp;m height). Elevation of the site is 602&nbsp;m above sea level, and the terrain is flat. Mean annual precipitation at the nearby (45&nbsp;km distant) Bureau of Meteorology station is 311&nbsp;mm - 140&nbsp;mm (1986-2025), but has ranged between 33&nbsp;mm in the hydrological years of 2018/2019 to 712&nbsp;mm in 2016/2017 since the tower is operational. Predominant wind directions are from the southeast and east. The extent of the woodland is 11&nbsp;km to the east of the flux station and 16&nbsp;km to the south. The soil is characterised as a red kandosol (74:11:15 sand:silt:clay) overlying an approx. 50&nbsp;m deep water table. Pine Hill Station is a functioning cattle station that has been in operation for longer than 50 years. Fluxes of heat, water vapour and carbon are measured using the open-path eddy covariance technique at 11.6&nbsp;m. Supplementary measurements above the canopy include temperature and humidity (11.6&nbsp;m), downwelling and upwelling shortwave and longwave radiation (12.2&nbsp;m). Precipitation is monitored in a canopy gap near the tower (2&nbsp;m). Supplementary measurements below the canopy include barometric pressure (1&nbsp;m) and temperature and humidity (2&nbsp;m). Below ground soil measurements are made in bare soil, mulga, and understory habitats and include ground heat flux (0.08&nbsp;m), soil temperature (0.02&nbsp;m &ndash; 0.06&nbsp;m) and soil moisture (0 &ndash; 0.1&nbsp;m, 0.1 &ndash; 0.3&nbsp;m, 0.6 &ndash; 0.8&nbsp;m and 1.0 &ndash; 1.2&nbsp;m).

Tags: AU-ASM, Mulga woodlands
Organization: Terrestrial Ecosystem Research Network's Data Discovery