AndreaBozzo/ceres-open-data-index huggingface dataset:
Directly Transmitted Downward Surface Solar Irradiance for Himawari-8/9 (HIM_SSI_Direct)

This product is part of the downward surface solar irradiance (SSI) collection, which was generated for daytime Himawari-8/9 imagery using the Qin et al. (2021a) 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°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 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 (v3.4.17) 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).

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 <i>Acacia aneura</i> canopy, which is 6.5&nbsp;m tall on average. Elevation of the site is 606&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 305.9&nbsp;mm but ranges between 100&nbsp;mm in 2009 to 750&nbsp;mm in 2010. 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 red sandy clay (50:50 sand:clay) overlying a 49&nbsp;m 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 13.7&nbsp;m tall. 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), windspeed and wind direction (9.25&nbsp;m), downwelling and upwelling shortwave and longwave radiation (12.2&nbsp;m). Precipitation is monitored in a canopy gap (2.5&nbsp;m). Supplementary measurements within and below the canopy include barometric pressure (1&nbsp;m), wind speed (2&nbsp;m, 4.25&nbsp;m and 6.5&nbsp;m), and temperature and humidity (2&nbsp;m, 4.25&nbsp;m and 6&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 – 0.06&nbsp;m) and soil moisture (0 – 0.1&nbsp;m, 0.1 – 0.3&nbsp;m, 0.6 – 0.8&nbsp;m and 1.0 – 1.2&nbsp;m). 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. 

Tags: AU-ASM, Mulga woodlands
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Seasonal Fractional Cover Summary Statistics - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage

These Seasonal Fractional Cover Summary Statistics datasets provide long-term statistical summaries derived from the <a href="https://portal.tern.org.au/metadata/TERN/13810293-c6b5-442b-bfcd-817700738e0d">sentinel2-based seasonal fractional cover v3 product</a>, calculated separately for each fraction. 

For each cover fraction, a separate raster image is generated for the full time series of available imagery. Each image includes the following statistical layers: 5th percentile (minimum), Mean, Median, 95th percentile (maximum), Standard deviation and Observation count.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Chowilla 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 Calperum Chowilla site was established in July 2010 and is managed by the University of Adelaide (UA), 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 stabilised by mallee (multi-stemmed Eucalypt trees) and various shrubs. It is a semi-arid environment fringing the River Murray floodplains of the Riverland.For additional site information, see http://www.landscapescience.org/. 

Tags: AU-Cpr, mallee woodland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Cumberland Plain 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 Cumberland Plain flux station is located in a dry sclerophyll forest. The Cumberland Plain Woodland is now an endangered ecological community that encompasses distinct groupings of plants growing on clayey soils. The canopy is dominated by <em>Eucalyptus moluccana</em> and <em>Eucalyptus fibrosa</em>, which host an expanding population of mistletoe. Average canopy height is 23&nbsp;m, the elevation of the site is 20&nbsp;m and mean annual precipitation is 800&nbsp;mm. 
Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 30&nbsp;m tall mast. Additional measurements above the canopy include temperature, humidity, wind speed and direction, rainfall, incoming and reflected shortwave and longwave radiation and net, diffuse and direct radiation and the photochemical reflectance index. In addition, profiles of humidity and CO2 are measured at eight levels within the canopy, as well as measurements of soil moisture content, soil heat fluxes, soil temperature, and 10&nbsp;hr fuel moisture dynamics. In addition, regular monitoring of understory species abundance, mistletoe infection, leaf area index and litterfall are also performed.

Tags: AU-Cum, dry sclerophyll forest, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Loxton 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 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
TERN AusPlots Forest Monitoring Network – Large Tree Survey, 2012–2015

The dataset comprises data from the first survey of ~24,000 large trees (&gt;10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location, above-ground biomass); [5] Comments and ancillary information; and [6] List of Metagenomic Sample Identifiers.

Tags: Acacia melanoxylon |  Allocasuarina decussata |  Allocasuarina torulosa |  Corymbia intermedia |  Eu, Biogeography | Long-Term Community Monitoring | Long-Term Species Monitoring | Macroecology, Ecosystem Assessment And Management (9605), Environmental And Natural Resource Evaluation (9606), Eucalyptus diversicolor |  Eucalyptus fastigata |  Eucalyptus grandis |  Eucalyptus jacksonii |  Euc, Eucalyptus regnans |  Eucalyptus resinifera |  Eucalyptus sieberi |  Eucalyptus viminalis |  Monotoc, Flora, Fauna and Biodiversity at Regional or Larger Scales (960805), Tall Open Forests
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Seasonal Ground Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage

The Sentinel-2 seasonal fractional ground cover product shows the proportion of bare ground, green and non-green ground cover and is derived directly from the Sentinel-2 seasonal fractional cover product, also produced by Queensland's Remote Sensing Centre. The seasonal fractional cover product is a spatially explicit raster product, which predicts vegetation cover at medium resolution (10&nbsp;m per-pixel) for each 3-month calendar season. However, the seasonal fractional cover product does not distinguish tree and mid-level woody foliage and branch cover from green and dry ground cover. As a result, in areas with even minimal tree cover (&gt;15%), estimates of ground cover become uncertain. With the development of the fractional cover time-series, it has become possible to derive an estimate of ‘persistent green’ based on time-series analysis. The persistent green vegetation product provides an estimate of the vertically-projected green-vegetation fraction where vegetation is deemed to persist over time. These areas are nominally woody vegetation. This separation of the 'persistent green' from the fractional cover product, allows for the adjustment of the underlying spectral signature of the fractional cover image and the creation of a resulting 'true' ground cover estimate for each season. The estimates of cover are restricted to areas of &lt;60% woody vegetation. Currently, the persistent green product has only been produced at 30&nbsp;m pixel resolution based on Landsat imagery, resulting in this Sentinel-2 seasonal ground cover product having a medium 30&nbsp;m pixel resolution also. This is an experimental product which has not been fully validated. This product is similar to the <a href="https://portal.tern.org.au/metadata/TERN/fe9d86e1-54e8-4866-a61c-0422aee8c699 ">Seasonal ground cover - Landsat, JRSRP algorithm Version 3.0, Australia Coverage</a> which is based on a different satellite sensor.

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Chowilla 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 Calperum Chowilla site was established in July 2010 and is managed by the University of Adelaide (UA), 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 stabilised by mallee (multi-stemmed Eucalypt trees) and various shrubs. It is a semi-arid environment fringing the River Murray floodplains of the Riverland.For additional site information, see http://www.landscapescience.org/. 

Tags: AU-Cpr, mallee woodland
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Uncrewed Aircraft Systems (UAS) Multispectral Orthomosaic - Cockatoo Hills, Tasmania

This dataset contains UAV multispectral imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX Dual (10-band multispectral sensor). P1 imagery were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. P1 Camera positions were post-processed using <a href="https://www.ga.gov.au/scientific-topics/positioning-navigation/geodesy/auspos">AUSPOS</a>. Flight conducted between 10:26 am and 10:47 am AEDT at flying height 80 m, forward and side overlaps for Zenmuse P1 set to 80%. MicaSense RedEdge-MX Dual triggered using timer mode (every second).

Micasense multispectral sensor positions were interpolated using P1, following which a standard workflow was followed in Agisoft Metashape to generate this orthomosaic (resolution 5 cm). Reflectance calibration was performed using captures of the MicaSense Calibration Panel taken before the flight. The orthomosaic raster has the relative reflectance (no unit) for the 10 bands (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705,  RedEdge, RedEdge 740, NIR). The cloud optimised (COG) GeoTIFF was created using rio command line interface. The coordinate reference system of the COG is EPSG 7855 - GDA2020 MGA Zone 55.

In the raw data RedEdge-MX image file suffixes correspond to bands like so - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. However, in the processed Orthomoasic GeoTIFF, the bands 1-10 are ordered as per the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705,  RedEdge, RedEdge 740, NIR).

Tags: Drone, UAV
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Yanco 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>.
 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 20m, however flux measurements are recorded from slightly lower than this. Mean annual precipitation from a nearby Bureau of Meteorology site measured 465 mm. Maximum temperatures ranged from 37.4°C (in January) to 16.6°C (in July), while minimum temperatures ranged from 29.0°C (in January) to 11.8°C (in July). Maximum temperatures varied on a seasonal basis by approximately 20.8°C and minimum temperatures by 17.2°C.  The site is within a wider research area (60 x 60 km) that supports a network of flux stations, which have been in operation since late 2001 onwards.

Tags: AU-Ync, JAXA, bare earth, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Boyagin Flux Data 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 was established in 2017 in Wandoo Woodland, which is surrounded by broadacre farming. About 80% of the overstorey cover is <em>Eucalyptus accedens</em> 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). The Noongar people are the traditional owners at Boyagin. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/ . 

Tags: AU-Boy, dry sclerophyll woodland, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Daly Pasture 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 site was identified as tropical pasture dominated by species <em>Chamaecrista rotundifolia</em> (round-leaf cassia cv. Wynn), <em>Digitaria milijiana</em> (Jarra grass) and <em>Aristida sp.</em> standing at approximately 0.3&nbsp; m tall. The soil at the site was a mixture of red kandosol and deep sand. Elevation of the site was close to 70&nbsp; m and mean annual precipitation at a nearby Bureau of Meteorology site was 1250&nbsp; mm. Maximum temperatures ranged from 37.5°C (in October) to 31.2°C (in June), while minimum temperatures ranged from 12.6°C (in July) to 23.8°C (in January). Maximum temperatures varied on a seasonal basis between 6.3°C while minimum temperatures varied by 11.2°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. Ancillary measurements taken at the site included LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, N and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the transect in September 2008.  The site was destroyed by fire in September 2013.

Tags: AU-DaP, Eddy Covariance, tropical pasture
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Cumberland Plain 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 Cumberland Plain flux station is located in a dry sclerophyll forest. The Cumberland Plain Woodland is now an endangered ecological community that encompasses distinct groupings of plants growing on clayey soils. The canopy is dominated by <em>Eucalyptus moluccana</em> and <em>Eucalyptus fibrosa</em>, which host an expanding population of mistletoe. Average canopy height is 23&nbsp;m, the elevation of the site is 20&nbsp;m and mean annual precipitation is 800&nbsp;mm. 
Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 30&nbsp;m tall mast. Additional measurements above the canopy include temperature, humidity, wind speed and direction, rainfall, incoming and reflected shortwave and longwave radiation and net, diffuse and direct radiation and the photochemical reflectance index. In addition, profiles of humidity and CO2 are measured at eight levels within the canopy, as well as measurements of soil moisture content, soil heat fluxes, soil temperature, and 10&nbsp;hr fuel moisture dynamics. In addition, regular monitoring of understory species abundance, mistletoe infection, leaf area index and litterfall are also performed.

Tags: AU-Cum, dry sclerophyll forest, eddy covariance
Organization: Terrestrial Ecosystem Research Network's Data Discovery