AndreaBozzo/ceres-open-data-index huggingface dataset:
Daintree Rainforest, Cape Tribulation Wood Block Decomposition Data 2019

Wood block decomposition assessment at the Daintree Rainforest, Cape Tribulation site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

Tags: Cape Tribulation, Daintree Rainforest, Decomposition, Fungi, Termites
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Global Bat Acoustic Data Collection: Germany

This dataset is a collection of echolocation calls recorded from Germany. Users should note that some audio files may contain calls from multiple species, and in certain cases, only one of the present species has been identified.

The collection includes bat call files in .zc and .wav formats, encompassing both identified and unidentified calls. Each call file contains embedded information, such as collection date, GPS location, species identification (where available), and contributor details, which is extracted and used to create searchable filter options in TERN Ecoacoustic Recordings. This enables users to efficiently search for, explore, and download call files based on specific criteria through the dashboard.

Tags: Bat Echolocation Call, Bat Reference Call Library, Microbat, Ultrasound
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Seasonal Seed Dispersal of Callitris verrucosa

The data set contains distance measures of primary (wind-borne) and secondary (on ground) seed dispersal during spring, summer and autumn, using empirical observations and detailed measurement of wind characteristics. Seeds were collected from populations of <i>Callitris verrucosa</i> within the reserve and was placed parallel to, and 100 m from the burn edge within the burnt site. For the empirical observation of seed dispersal we chose six release locations, three locations in each of the two sites, about 6 km apart that had both recently undergone a planned burn, one in spring 2009 and the other in autumn 2011. Within those two sites the three release locations were positioned 800 m apart from each other along a transect that was placed parallel to, and 100 m from the burn edge within the burnt site. To assess primary (wind-borne) seed dispersal, 20 randomly chosen seeds were released from each of three different heights (1 m, 2 m and 3 m) at each of the six sites, giving a total of 360 seeds released per season. Seeds were only released within a horizontal wind speed range of 8 - 25 km/h. At lower wind speeds seeds would not take-off and at higher wind speeds seeds could not be relocated. This data set could be reused in a similar study carried out for the same species in a different location.  To understand the effect of standing vegetation on the secondary (on-ground) seed dispersal, we established groups of 10 seeds on the ground within 10 m of each of the six previous release locations. Seed were left for 4 days before relocated and distances to the starting point were measured. This was repeated during all 3 seasons. Out of the 180 seeds released,161 (89%) seeds could be relocated.  Wind measurements were taken on a sand dune crest in the site that was burned during autumn 2011 using an ultrasonic anemometer (Model WindMaster (Part 1590-PK-020), Gill Instruments Ltd, Lymington, UK). Measurements continued for two weeks in spring, summer and autumn. The anemometer measured horizontal wind speed, horizontal wind direction, and vertical wind speed every 0.1 s, producing a dynamic, three dimensional wind speed vector. Measurements were taken at 2 m height. 
The data can be used for studies dealing with wind movements in mallee during Spring, Summer and Autumn as well as comparative seed dispersal studies using the same or other wind dispersed plant species.

Tags: <i>Callitris verrucosa</i> R.Br. ex Mirb., <i>Triodia irritans</i> R.Br., Ecological Modelling, Ecosystem Assessment And Management (9605), Fire Regimes, Habitat Fragmentation, Remnant Vegetation And Protected Conservation Areas (9613)
Organization: Terrestrial Ecosystem Research Network's Data Discovery
DERG Trachymene glaucifolia Dataset for MARSS models

This dataset consists of counts of plants and seeds for the ephemeral desert herb <i>Trachymene glaucifolia</i> obtained from the Ethabuka and Carlo Reserves in the Simpson Desert, Australia, from 2004-2011 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists of monthly rainfall data obtained from 1995-2012. Collectively, the dataset was used to construct Multivariate Auto-regressive State-Space (MARSS) models for the manuscript "Reducing common sources of uncertainty in time series population data using MARSS models". For more information see: DERG : https://www.sydney.edu.au/science/our-research/research-areas/life-and-environmental-sciences/desert-ecology.html

Tags: Desert Ecology
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Calperum Mallee Wood Block Decomposition Data 2019

Wood block decomposition assessment at the Calperum Mallee site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

Tags: Calperum Mallee, Decomposition, Fungi, Termites
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Litchfield Savanna Stem Diameter, Height, Basal Area and Aboveground Woody Biomass Data

This data contains stem diameter, height measurement, basal area and above ground living biomass calculations for all stems ≥10cm diameter at breast height located in the Litchfield Savanna site.

Tags: Litchfield Savanna, Tropical savanna
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Gingin Banksia Woodland Panoramic Photopoint Image Collection

High quality digital images are captured using a digital SLR camera at the plots (core 1 hectare vegetation plot) at the TERN Gingin Banksia Woodland SuperSite using the panoramic photopoint method. The panoramic photopoint method may be the most informative in open forests/woodlands and rangelands. Three photopoints are established configured in an equilateral triangle (2.5m sides) with the centre marked with a star dropper and the location recorded with DGPS. At each photopoint take photographic sequences in a 360° panorama, with up to 40 photographs with a minimum 50% overlap between consecutive photographs. For more information about the method, see 
<a href="http://dx.doi.org/10.13140/2.1.4287.3607">White, el al. (2012) AusPlots Rangelands Survey Protocols Manual Version 1.2.9.</a> 

TERN’s Gingin Banksia Woodland SuperSite is on the Swan Coastal Plain, approximately 10 km southwest of Gingin and 80km north of Perth, Western Australia. The site sits in a natural woodland of high species diversity (overstorey dominated by Banksia spp) that overlays the Gnangara groundwater mound, Perth’s most important groundwater resource. The site is 2 km from the University of Western Australia International Gravity Wave Observatory. The traditional owners at Gingin are the Yued group of the Noongar People. For additional site information, see https://www.tern.org.au/tern-ecosystem-processes/gingin-banksia-woodland-supersite/ .
 
Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, five-photopoint images and ancillary images of fauna and flora.

Tags: Core 1 ha, TERN Ecosystem Processes, banksia heath woodland, ggbw
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - Clay (3" resolution) - Release 2

This is Version 2 of the Australian Soil Clay Content product of the Soil and Landscape Grid of Australia.

It supersedes the Release 1 product that can be found at <a href="https://doi.org/10.4225/08/546EEE35164BF">https://doi.org/10.4225/08/546EEE35164BF</a>.

The map gives a modelled estimate of the spatial distribution of clay in soils across Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5&nbsp;cm, 5-15&nbsp;cm, 15-30&nbsp;cm, 30-60&nbsp;cm, 60-100&nbsp;cm and 100-200&nbsp;cm. These depths are consistent with the specifications of the GlobalSoilMap.net project - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf">GlobalSoilMaps</a>. 
The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90&nbsp;m pixels).

Detailed information about the Soil and Landscape Grid of Australia can be found at - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html">SLGA</a>

<ul><li>Attribute Definition: 2&nbsp;μm mass fraction of the less than 2&nbsp;mm soil material determined using the pipette method;</li>
<li>Units: %;</li>
<li>Period (temporal coverage; approximately): 1950-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx 90&nbsp;m);</li>
<li>Total number of gridded maps for this attribute: 18;</li>
<li>Number of pixels with coverage per layer: 2007M (49200 * 40800);</li>
<li>Data license : Creative Commons Attribution 4.0 (CC BY);</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF.</li></ul>

Tags: 3-dimensional soil mapping, Attribute, Clay, Continental, DSM, Digital Soil Mapping, Global Soil Map, Raster, SLGA, Soil, Soil Maps, Spatial modelling, Spatial uncertainty, TERN, TERN_Soils, TERN_Soils_DSM
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Rainforest Wood Block Decomposition Data 2019

Wood block decomposition assessment at the Robson Creek Rainforest site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

Tags: Decomposition, Fungi, Rainforest, Robson Creek, Termites
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Whroo Dry Eucalypt Vegetation Structure Data, 2014

This data contains a once-off general structural description according to the National Vegetation Information System (NVIS) level 5 for the core 1 hectare plot in the Whroo Dry Eucalypt site in 2014. Dominant growth form, cover, height and species (up to 5 species in order of dominance) for up to 3 sub-stratum per traditional strata (Ground, Mid and Upper).

Tags: Cover, Dominant species, General structural description, NVIS level 5, Vegetation, Victorian Dry Eucalypt, Whroo
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Three Parks Savanna Fire-effects Plot Network: Plot-based Fire Severity and Biomass Monitoring, Kakadu National Park, Northern Territory, Australia

This data package comprises fire severity scores from Kakadu in 2014. A total of 220 permanent monitoring plots (40&nbsp;m x &nbsp;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 <i>Callitris</i>, 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 <a href="http://www.ltern.org.au/index.php/ltern-plot-networks/three-parks-savanna ">LTERN</a>

Organization: Terrestrial Ecosystem Research Network's Data Discovery
Samford Peri-Urban Wood Block Decomposition Data 2019

Wood block decomposition assessment at the Samford Peri-Urban site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

Tags: Decomposition, Fungi, Samford Peri-Urban, Termites
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Nightly Activity of Wolf Spiders from Cameras and Spotlighting in the Simpson Desert

Invertebrates dominate the animal world in terms of abundance, diversity and biomass and play critical roles in maintaining ecosystem function. Despite their obvious importance, disproportionate research attention remains focused on vertebrates, with knowledge and understanding of invertebrate ecology still lacking. Due to their inherent advantages, usage of camera traps in ecology has risen dramatically over the last three decades, especially for research on mammals. However, few studies have used cameras to reliably detect fauna such as invertebrates or used cameras to examine specific aspects of invertebrate ecology. Twenty-four Reconyx PC800 HyperfireTM cameras were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment) in the Simpson Desert, south-western Queensland, capturing 372 time-lapse images of Wolf spiders (Family Lycosidae). Images were tagged with camera location, position, angle, camera ID and presence of lycosids. Additionally, spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights with a total of 352 lycosids observed. This data set was used to determine whether: 1) camera traps provide a viable method for detecting wolf spiders, 2) diel activity patterns of the spiders can be ascertained, and 3) patterns in spider activity vary with environmental conditions, specifically between burned and unburned habitats and the crests and bases of sand dunes. This data presents a useful example of the utility of cameras as a tool for determining the diel activity patterns and habitat use of larger arthropods such as wolf spiders. 
Please note: Camera trap images are not provided and only species occurrence records are included. Also, image files were renamed after collection, resulting in a number versus time conflict. However, dates and times of sightings provided are correct.

Tags: Activity patterns, Arid ecology, Camera traps, Lycosidae, Wolf spiders, habitat use
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Mitchell Grass Rangeland Vegetation Structure Data, 2018

This data contains a once-off general structural description according to the National Vegetation Information System (NVIS) level 5 for the core 1 hectare plot in the Mitchell Grass Rangeland site in 2018. Dominant growth form, cover, height and species (up to 5 species in order of dominance) for up to 3 sub-stratum per traditional strata (Ground, Mid and Upper).

Tags: Grassland, Mitchell Grass Rangelands, Rangeland, Structure, Vegetation
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Robson Creek Rainforest Water Chemistry Data 2013

Measured water quality variables are reported for surface water from a permanent sampling site on Robson Creek, Far North Queensland. The variables include major cations and anions, trace heavy metals, solids (suspended and total) inorganic and organic nitrogen and phosphorus.

Tags: Alkalinity, Dissolved organic Carbon, Hardness, Major Ions, Nitrogen, Nutrients, Phosphorus, Surface water, Suspended solids, Water chemistry
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Microhabitat Selection by Wolf Spiders and Dunnarts

The lesser hairy­footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. This project tested the hypothesis that this disproportionate predation is a product of frequent encounter rates between the interactants due to high overlap in their diets and use of space and time. This data set focuses on overlap in the use of different microhabitats of wolf spiders (<i>Lycosa spp.</i>) and the lesser hairy­footed dunnart (<i>Sminthopsis youngsoni</i>) in the Simpson Desert, south­western Queensland Australia. Microhabitat use was determined by estimating the percentage cover of seven microhabitat variables and distance to nearest cover along trails left by individuals of each species­ group and a randomly orientated (control) trail for each actual trail as a measure of the availability of each microhabitat within the local environment. Trail length was also recorded and data was collected across 16 trapping grids at Main Camp during July and October (winter and Spring) in 2017. Differences in microhabitat use between trail types (actual vs control) and species (lycosids vs dunnarts) were assessed using non­metric multidimensional scaling (NMDS) and permutational analyses of variance (PERMANOVA). These analyses were performed using this data.

Tags: <i>Lycosa spp.</i>, <i>Sminthopsis youngsoni</i>, Arid ecology, Behavioural Ecology, Predator-Prey Interactions
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Stream mesocosm experiment on benthic macroinvertebrate and algal communities

The dataset consists of results from two stream mesocosm experiments that were conducted in the summer-autumn of 1996 and 1997 to distinguish the influence of fine sediment loads and nutrient concentrations on benthic macro-invertebrate and algal communities. 11 biological variables were extracted from the results of this experiment and were standardized for the purpose of training neural networks that could be used to diagnose nutrient and fine sediment impacts in field surveys. The 11 variables were selected according to how well they correlated with the experimental treatment levels (high and low values of both nutrients and fine sediments). The 11 variables were: chlorophyll a (mg/m2), macro-invertebrate familial richness, total abundance, and the abundance of <em>Oligochaeta, Leptoperla varia (Gripopterygidae), Nousia spp. (Leptophlebiidae), Austrophlebioides spp. (Leptophlebiidae), Orthocladiinae, Tanypodinae, Tipulidae</em> and larval <em>Scirtidae</em>. These taxa were abundant within and among the stream mesocosm communities and are common in a wide range of Tasmanian rivers. Values for each of 11 biological response variables were standardized by dividing by their average value observed in the experimental controls mesocosm samples from that year. See Magierowski RH, Read SM, Carter SJB, Warfe DM, Cook LS, Lefroy EC, et al. (2015) <i>Inferring Landscape-Scale Land-Use Impacts on Rivers Using Data from Mesocosm Experiments and Artificial Neural Networks.</i> PLoS ONE 10(3): e0120901. https://doi.org/10.1371/journal.pone.0120901 https://doi.org/10.1371/journal.pone.0120901. This data was collected for the purpose of training artificial neural networks that could diagnose nutrient and sediment impacts in Tasmanian rivers. Each of the 11 variables were standardized by their average value observed in the experimental control samples from that year and some experimental treatment effects (Light) were ignored to simplify the neural network training process. Therefore, these data should not be used to make conclusions about the impacts of fine sediments and nutrients in Tasmanian rivers.

Tags: Ecosystem Assessment And Management (9605), Land And Water Management (9609)
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Soil and Landscape Grid National Soil Attribute Maps - 15 Bar Lower Limit Volumetric Water Content (Percent) (3 arc second resolution) Version 1

This is Version 1 of the Australian 15 Bar Lower Limit Volumetric Water Content (L15) product of the Soil and Landscape Grid of Australia.

The map gives a modelled estimate of the spatial distribution of 15 Bar Lower Limit Volumetric Water Content in soils across Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5&nbsp;cm, 5-15&nbsp;cm, 15-30&nbsp;cm, 30-60&nbsp;cm, 60-100&nbsp;cm and 100-200&nbsp;cm. These depths are consistent with the specifications of the <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf">GlobalSoilMap.net project</a>. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90&nbsp;m pixels).

Detailed information about the Soil and Landscape Grid of Australia can be found at - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html">SLGA</a>.
<ul>
<li>Attribute Definition: 15 Bar Lower Limit Volumetric Water Content;</li>
<li>Units: percent;</li>
<li>Period (temporal coverage; approximately): 1950-2021;</li>
<li>Spatial resolution: 3 arc seconds (approx 90&nbsp;m);</li>
<li>Total number of gridded maps for this attribute: 18;</li>
<li>Number of pixels with coverage per layer: 2007M (49200 * 40800);</li>
<li>Data license : Creative Commons Attribution 4.0 (CC BY);</li>
<li>Target data standard: GlobalSoilMap specifications;</li>
<li>Format: Cloud Optimised GeoTIFF;</li></ul>

Tags: 15 Bar, 3-dimensional soil mapping, DSM, DUL, Digital Soil Mapping, Global Soil Map, Lower Limit Volumetric Water Content, Raster, SLGA, Soil, Soil Hydraulic Properties, Soil Maps, Spatial modelling, Spatial uncertainty
Organization: Terrestrial Ecosystem Research Network's Data Discovery
Leaf trait associations with environmental variation in the wide-ranging shrub Dodonaea viscosa subsp. angustissima (Sapindaceae) Part 2: Elevation

Leaf traits for 11 populations of <i>Dodonaea viscosa</i> subsp. <i>angustissima</i> (Sapindaceae) opportunistically collected from across an elevational gradient (300 to 800 m above sea level) in the Flinders Ranges of South Australia. We present leaf traits for 266 individuals. Traits measured include leaf area and specific leaf area, and elevation.

Tags: Climate And Climate Change (9603), Ecological Modelling Flora, Fauna and Biodiversity at Regional or Larger Scales (960805), Remnant Vegetation And Protected Conservation Areas (9613)
Organization: Terrestrial Ecosystem Research Network's Data Discovery