AndreaBozzo/ceres-open-data-index huggingface dataset:
Mean monthly outgoing surface longwave radiation modelled using the 1&quot; DEM-S - 1&quot; mosaic data

Mean monthly solar radiation was modelled across Australia using topography from the 1 arcsecond resolution SRTM-derived DEM-S and climatic and land surface data. The SRAD model (Wilson and Gallant, 2000) was used to derive:
•   Incoming short-wave radiation on a sloping surface
•   Short-wave radiation ratio (shortwave on sloping surface / shortwave on horizontal surface)
•   Incoming long-wave radiation
•   Outgoing long-wave radiation
•   Net long-wave radiation
•   Net radiation
•   Sky view factor
All radiation values are in MJ/m2/day except for short-wave radiation ratio which has no units. The sky view factor is the fraction of the sky visible from a grid cell relative to a horizontal plane.
The radiation values are determined for the middle day of each month (14th or 15th) using long-term average atmospheric conditions (such as cloudiness and atmospheric transmittance) and surface conditions (albedo and vegetation cover). They include the effect of terrain slope, aspect and shadowing (for sun positions at 5 minute intervals from sunrise to sunset), direct and diffuse radiation and sky view.
The data in this collection are available at 1 arcsecond resolution as single (mosaicked) grids for Australia in TIFF format.
The 1 arcsecond tiled data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18335 .
The 3 arcsecond resolution versions of these radiation surfaces have been produced from the 1 arcsecond resolution surfaces, by aggregating the cells in a 3x3 window and taking the mean value.
The 3 arcsecond mosaic data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18336

Tags: Australia, ECOLOGY Landscape, LAND Topography Models, Land Surface, Monthly outgoing longwave radiation, TERN_Soils
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Three Parks Savanna Fire-effects Plot Network: Plot-based Fire Severity Monitoring, Kakadu National Park, Northern Territory, Australia, 2012

This data package comprises fire severity scores from Kakadu in 2012–2013. A total of 220 permanent monitoring plots (40 m x 20 m) were established across three parks (Kakadu, Litchfield and Nitmiluk) in 1994-1995 to monitor biotic change. Of these, 132 plots are located in Kakadu. These sample a variety of landform and vegetation type/habitat conditions. A substantial proportion of plots were positioned deliberately at sites likely to reveal environmental dynamics, especially at ecotones and in patches of fire-sensitive vegetation. For example stands of Callitris, sandstone heaths. As well, many plots are located at, or in the near vicinity of, intensively managed sites such as camp-grounds and other tourist destinations. A synopsis of related data packages which have been collected as part of the Three Park Savanna Fire-effects Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/three-parks-savanna.

Tags: Fire, Kakadu, National Parks, Savanna, Vegetation, Vegetation structure
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Victorian Alpine Plot Network (Alpine Summit Plots): Vegetation Composition Data, South-East Highlands, Australia, 2017

This Victorian Alpine Plot Network Vegetation Composition Data Package comprises plot-based vegetation data for alpine mountain summits in the Australian Alps for 2004.  Twenty 1 metre squared quadrats are situated along each of four varying length permanent transects established on mountain summits.  In each quadrat, plant species are assigned percentage cover abundance and species per metre squared are recorded.  
The Alpine Summit plots study, which commenced in 2001, forms part of the collection of data packages by the Victorian Alpine Plot Network.  A synopsis of related data packages which have been collected as part of the Victorian Alpine Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/victorian-alpine.

Tags: Alpine National Park, Alpine summits, Compositional changes, Dominant classes, Individual plants, Plant species abundance, Plant species composition, Species richness, Vegetation structure
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Office of Environment and Heritage, New South Wales - NAN_API Vegetation Survey

Nandewar API Field Data. The NAN_API(Nandewar API Field Data) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

Tags: Acacia neriifolia A.Cunn. ex Benth., Alysicarpus schomburgkii, Angophora floribunda (Sm.) Sweet, Callitris endlicheri (Parl.) F.M.Bailey, Callitris spp., Carex spp., Dianella longifolia var. stupata, Dillwynia spp., Diospyros calycantha, Eucalyptus andrewsii Maiden, Eucalyptus blakelyi Maiden, Eucalyptus dalrympleana Maiden, Eucalyptus elliptica Blakely & McKie, Eucalyptus macrorhyncha F.Muell. ex Benth., Eucalyptus malacoxylon Blakely, Eucalyptus sideroxylon A.Cunn. ex Woolls, Eucalyptus taurina, Eucalyptus youmanii Blakely & McKie, Ficus rubiginosa, Flora, Glycosmis trifoliata, Grevillea spp., Homoranthus thomasii, Lenwebbia prominens, Leptospermum polygalifolium Salisb., Leptospermum polygalifolium subsp. montanum Joy Thomps., Persoonia spp., Pultenaea tarik sensu Weston, Species Presence/Abundance, Trigonostemon inopinatus, Typha domingensis Pers., Vegetation Structure, Zornia floribunda
Organization: Terrestrial Ecosystem Research Network's Data Discovery
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 1990-2009 period, CCCMA3.1 and R1 ensemble member

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index.  Modelled fire frequency projections at ~10km resolution for 1990-2009 period using CCCMA3.1 and R1 ensemble member using the WRF 3.3 model.  This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

Tags: EARTH SCIENCES
Organization: Terrestrial Ecosystem Research Network's Data Discovery
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2060-2079 period, CSIRO-MK3.0 and R3 ensemble member

NSW Office of Environment and Heritage Macarthur Forest Fire Danger index.  Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CSIRO-MK3.0 and R3 ensemble member using the WRF 3.3 model.  This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.

Tags: EARTH SCIENCES
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Office of Environment and Heritage, New South Wales - NEWNESNPWS Vegetation Survey Vegetation Survey

null. The NEWNESNPWS Vegetation Survey(null) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

Tags: Flora, Species Presence/Abundance, Vegetation Structure
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Desert Ecology Plot Network: Vegetation Plot-data, Simpson Desert, Western Queensland, 2013

This vegetation data package comprises structure and floristic data for selected points across grids described in related data packages. Vegetation attributes were recorded in an area occupying 2.5 m radius around six traps on each trapping grid and have been aggregated to grid level data.  Percentage cover of all plant species, flowering index and seeding index (from 0-5, where 0 is no flowering or seeding and 5 is maximal flowering/seeding) were recorded and are presented here as plot averages which represent the mean amount of flowering or seeding per species.  The network program uses a core of 12 sites which are sampled every April-May.  The trapping survey aims to quantitatively track long-term shifts in biodiversity and ecological processes in relation to key drivers, including unpredictable rainfall and droughts, fire, feral predators and grazing.  A synopsis of related data packages which have been collected as part of the Desert Ecology's full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/desert-ecology.

Tags: Plant species abundance, Plant species composition, Vegetation structure
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Monthly 1976-2005 mean precipitation: ANUClimate 1.0, 0.01 degree, Australian Coverage

Monthly mean total precipitation for the Australian continent between 1976-2005. Modelled by fitting a trivariate thin plate smoothing spline function of longitude, latitude and vertically exaggerated elevation to the square roots of observed and estimated monthly 1976-2005 rainfall means at 11,697 Bureau of Meteorology stations. Missing monthly precipitation values were estimated by regression with the long term station that provided estimates of the 1976-2005 monthly means with with the least standard error. This was applied to each station with at least 10 years of record between 1931 and 2012. Automated quality controls were applied to the regression process to remove poor quality data. Thus, an average of 66 values per month were removed, giving an average of 11631 data points for each month. These were commonly associated with stations with an old or short period of record, or with an imprecise location. Station elevations were 0.05 degree local averages of grid values from the GEODATA 9 second DEM version 3 as provided by eMAST_ANUClimate_fx_el05_v1m0. The mean absolute error of individual cross validation residuals provided by the spline analysis at 3518 stations with near complete records, of at least 28 years, is 3.9 mm (6.6% of the mean). A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean precipitation grids is in preparation.

Tags: ATMOSPHERIC SCIENCES, EARTH SCIENCES
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Daily mean vapour pressure: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014

Mean daily vapour pressure for the Australian continent between 1970-2014. Daily vapour pressure regulates evaporation rates and water need and use. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily vapour pressures as provided by eMAST_ANUClimate_mmn_vp_v1m0_1976_2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. There was an average of 382 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 4 data values per day with extreme studentised residuals. Cross validation residuals for all accepted data points had a mean absolute value of 0.51 HPa and a root mean square value of 1.02 HPa. These corresponded to relative errors of around 7% and 11% respectively. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily vapour pressure grids is in preparation.

Tags: ATMOSPHERIC SCIENCES, EARTH SCIENCES
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Desert Uplands Plot Network: Vegetation Survey (Presence Data, Species Richness and Stem and Hollow Counts) for Plot TIMA03, Northern Queensland, Australia, 2013

The LTERN Desert Uplands Plot Network Vegetation Survey Data contains presence data, species richness data and structural data for 1 of 60 (50 after 2008) permanent 1 hectare plots in Northern Queensland, Australia. This data publication refers specifically to observations made at Plot TIMA03, and this data is accessible as a composite data package at the following location: Metcalfe, D; Vanderduys, E (2014): Desert Uplands Plot Network: Vegetation Survey (Presence Data, Species Richness and Stem and Hollow Counts), Northern Queensland, Australia, 2013. Long Term Ecological Research Network. http://www.ltern.org.au/knb/metacat/ltern2.143.33/html 
The CSIRO permanent plots are situated in Tropical Ironbark Woodlands, and extend across four leasehold cattle properties that lie within an area approximately 50km by 50km. The plots represent three vegetation management strategies, namely: 1) clearing (where all trees and shrubs are removed); 2) thinning (where ground and midstorey vegetation is removed); and 3) unmodiﬁed native woodlands where signiﬁcant thinning or clearing has not occurred. 
The Desert Uplands research plots commenced in 2004, and have been revisited in 2005, 2006, 2008 and 2013. A synopsis of related data packages which have been collected as part of the Desert Uplands Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/desert-uplands

Tags: Grazing domestic livestock, Individual plants, Plant species abundance, Plant species composition, Tropical Ironbark Woodlands, Vegetation structure, disturbance, hollows, permanent plot, stem counts
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Slope derived from 1&quot; SRTM DEM-S

Slope measures the inclination of the land surface from the horizontal. The percent slope and degrees slope products represent this inclination as the ratio of change in height to distance.
The slope (percentage) and slope (degrees) products were derived from the Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 second resolution SRTM data acquired by NASA in February 2000. The calculation of slope from DEM-S accounted for the varying spacing between grid points in the geographic projection. 
The 3 second resolution slope products were generated from the 1 second percent slope/degrees slope products and masked by the 3” water and ocean mask datasets.

Tags: Australia, ECOLOGY Landscape, LAND Topography Models, Land Surface, Slope, TERN_Soils
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Three Parks Savanna Fire-effects Plot Network (Fauna): Terrestrial Vertebrate Monitoring, Litchfield National Park, Northern Territory, Australia, 1995–2011

This Terrestrial Vertebrate Monitoring data package comprises data for a sub-sample of the 41 plots situated in Litchfield National Park. Terrestrial mammals, birds, reptiles and amphibians are sampled in a 50 x 50 m plot adjacent to each fire plot monitoring site (below). Each vertebrate plot is sampled every five years. Within each five yearly-interval plots are sampled in different months over a three-year period. Each individual plot is always sampled in the same month. The plots are assessed for fire occurrence at least annually by means of on-ground visits by ranger staff. This record is used, in conjunction with aerial surveys, to assess the reliability of the fire history which has been developed from satellite imagery. A photo record assembled for field visits to Kakadu National Park (and Nitmiluk National Park) visits spanning 1995-2004 has also been used to develop a practical field-based index of fire severity. The Three Parks Savanna Plot Network’s full program uses a total of 220 permanent monitoring plots established in the Kakadu, Litchfield and Nitmiluk National Parks which commenced in 1994-1995. The research is aimed at improving our understanding of impacts associated with imposed fire on vegetation structure, plant species and vertebrate fauna, in order to improve our knowledge and management of fire in tropical savanna landscapes. A synopsis of related data packages which have been collected as part of the Three Park Savanna's full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/three-parks-savanna.

Tags: Birds, Fire, Fire effects, Herpetofauna, Litchfield, Mammals, Parks, Savanna, Terrestrial vertebrate sampling
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Yalata Land Use Survey

In 1999 the coastal vegetation from the Head of Bight to the southeastern Yalata boundary was surveyed so that data can be used in formulating future management plans for this stretch of coast, especially in relation to fishermens camping areas and 4WD access. The Yalata Land Use Survey is part of the Biological Survey of South Australia Program which is a series of systematic surveys conducted across the state between 1971 and the present with the broad aim of providing a baseline inventory of South Australia's flora and fauna biodiversity.

Tags: Acacia anceps DC., Acacia oswaldii F.Muell., Acacia sp. Winged (C.R.Alcock 4936), Acrotriche patula R.Br., Amyema melaleucae (Lehm. ex Miq.) Tiegh., Angianthus tomentosus J.C.Wendl., Arctotheca populifolia (Bergius) Norl., Atriplex cinerea Poir., Atriplex paludosa subsp. cordata (Benth.) Aellen, Atriplex vesicaria Heward ex Benth., Austrostipa elegantissima (Labill.) S.W.L.Jacobs & J.Everett, Austrostipa eremophila (Reader) S.W.L.Jacobs & J.Everett, Beyeria lechenaultii (DC.) Baill., Carpobrotus rossii (Haw.) Schwantes, Cassytha melantha R.Br., Centaurea melitensis L., Cratystylis conocephala (F.Muell.) S.Moore, Dianella revoluta var. divaricata (R.Br.) R.J.F.Hend., Disphyma crassifolium subsp. clavellatum (Haw.) Chinnock, Disturbance, Dodonaea stenozyga F.Muell., Enchylaena tomentosa R.Br. var. tomentosa, Eremophila deserti (A.Cunn. ex Benth.) Chinnock, Eremophila glabra (R.Br.) Ostenf. subsp. glabra, Eucalyptus calcareana Boomsma, Eucalyptus gracilis F.Muell., Eucalyptus oleosa F.Muell. ex Miq., Eucalyptus yalatensis Boomsma, Euphorbia paralias L., Exocarpos aphyllus R.Br., Fauna, Flora, Frankenia pauciflora var. fruticulosa (DC.) Summerh., Frankenia sessilis Summerh., Geijera linearifolia (DC.) J.M.Black, Halosarcia sp., Hemichroa diandra R.Br., Landscape, Lawrencia squamata Nees, Leucophyta brownii Cass., Lithology, Maireana oppositifolia (F.Muell.) Paul G.Wilson, Maireana triptera (Benth.) Paul G.Wilson, Melaleuca lanceolata Otto, Melaleuca lanceolata Otto subsp. lanceolata, Mesembryanthemum crystallinum L., Myoporum insulare R.Br., Myoporum platycarpum R.Br. subsp. platycarpum, Nicotiana goodspeedii H.-M.Wheeler, Nitraria billardierei DC., Olearia axillaris (DC.) F.Muell. ex Benth., Olearia exiguifolia (F.Muell.) F.Muell. ex Benth., Olearia minor (Benth.) Lander, Pimelea serpyllifolia R.Br. subsp. serpyllifolia, Pittosporum angustifolium Lodd., G.Lodd. & W.Lodd., Rhagodia crassifolia R.Br., Rytidosperma caespitosum (Gaudich.) Connor & Edgar, Salsola australis L., Scaevola spinescens R.Br., Schismus barbatus (Loefl. ex L.) Thell., Sclerolaena brevifolia (Ising) A.J.Scott, Sclerolaena uniflora R.Br., Senecio pinnatifolius A.Rich., Soil, Solanum symonii H.Eichler, Species Presence/Abundance, Spinifex hirsutus Labill., Spyridium phylicoides Reissek, Tetragonia implexicoma (Miq.) Hook.f., Threlkeldia diffusa R.Br., Vegetation Structure, Westringia rigida R.Br., Zygophyllum angustifolium H.Eichler, Zygophyllum ovatum Ewart & Jean White
Organization: Terrestrial Ecosystem Research Network�s Data Discovery
Daily maximum temperature: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014

Daily maximum temperature for the Australian continent between 1970-2014. Daily maximum temperature regulates rates of plant growth and crop yield. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily maximum temperatures as provided by ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. There was an average of 675 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 2.6 data values per day with extreme studentised residuals. These were commonly associated with days following missing observations. Cross validation residuals for all accepted data points had a mean absolute value of 0.76 degrees Celsius and a root mean square value of 1.06 degrees Celsius. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily maximum temperature grids is in preparation.

Tags: ATMOSPHERIC SCIENCES, EARTH SCIENCES
Organization: Terrestrial Ecosystem Research Network's Data Discovery
City of Tea Tree Gully, Biological Survey of South Australia - Roadside Vegetation Survey, Biological Database of South Australia

The project systematically surveys the extent and condition of remnant native vegetation on railway corridors / roadsides . A standard drive-by survey methodology is used to record dominant species (overstorey, understorey, emergent, threatened and alien species), structural type, density/distribution and understorey vegetation type in roadside vegetation. Mapping outputs are used to inform roadside vegetation management by Local and State Governments.

Tags: Acacia provincialis A.Camus, Acacia pycnantha, Aira sp., Ajuga australis f. A (A.G.Spooner 9058), Allocasuarina verticillata, Arctotheca calendula, Asparagus asparagoides f., Austrostipa mollis, Austrostipa sp., Avena barbata, Banksia marginata, Bergia perennis subsp. exigua, Brachypodium distachyon, Briza maxima, Briza minor, Bromus diandrus, Bursaria spinosa subsp. spinosa, Caladenia toxochila Tate, Chrysanthemoides monilifera subsp. monilifera, Correa sp., Cynodon dactylon (L.) Pers. var. dactylon, Dactylis glomerata, Dianella revoluta var. revoluta, Diplachne sp., Disturbance, Echium plantagineum, Ehrharta longiflora, Epacris obtusifolia Sm., Eucalyptus fasciculosa, Eucalyptus goniocalyx subsp. goniocalyx, Eucalyptus sp., Exocarpos cupressiformis, Festuca pratensis, Festuca rubra L., Flora, Fumaria sp., Gazania linearis, Genista monspessulana, Haeckeria punctulata (F.Muell.) J.H.Willis, Hakea rostrata, Hakea rugosa, Hardenbergia violacea, Hordeum sp., Hordeum vulgare, Hybanthus sp., Hypoxis hygrometrica, Ipomoea diamantinensis Eardley, Ixia maculata L., Jarava plumosa (Spreng.) S.W.L.Jacobs & J.Everett, Kennedia prorepens (F.Muell.) F.Muell., Lantana camara var. (NC), Lathyrus latifolius, Logania sp., Lomandra multiflora subsp. dura, Melaleuca lanceolata, Melaleuca sp., Millotia myosotidifolia (Benth.) Steetz, Not naturalised in SA sp., Olea europaea subsp. africana, Olea europaea subsp. europaea, Olearia axillaris, Opuntia stricta, Oxalis pes-caprae, Peplidium sp., Pholiurus pannonicus (Host) Trin., Pinus radiata, Piptatherum miliaceum, Plantago lanceolata var. dubia, Populus sp., Prunus sp., Pterostylis alata (Labill.) Rchb.f., Pultenaea teretifolia var. brachyphylla H.B.Will., Rhagodia parabolica R.Br., Rosa canina, Rosa sp., Rubus sp., Scabiosa atropurpurea, Schinus molle, Senecio pterophorus, Sonchus sp., Species Presence/Abundance, Specimens, Thomasia petalocalyx, Thysanotus patersonii, Trifolium angustifolium, Trifolium campestre, Trifolium israeliticum Zohary & Katzn., Vegetation Structure, Vicia sativa subsp. sativa, Vicia sp., Watsonia sp., Westringia dampieri R.Br., Westringia sp., Xanthorrhoea semiplana subsp. semiplana
Organization: Terrestrial Ecosystem Research Network's Data Discovery