Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,209
datasets available to search
ShareScore release 0.9.0
Dataset results
1,209 results for “eastern Australia”
Linked collectors and determiners for: A revision of the Ewartia oldfieldi (Distant) species complex (Hemiptera: Cicadidae: Cicadettinae) with five new species from eastern and northern Australia.
Natural history specimen data linked to collectors and determiners held within, "A revision of the Ewartia oldfieldi (Distant) species complex (Hemiptera: Cicadidae: Cicadettinae) with five new species from eastern and northern Australia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a2728517-c791-44c7-852e-db6234e35eda">https://bionomia.net/dataset/a2728517-c791-44c7-852e-db6234e35eda</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a2728517-c791-44c7-852e-db6234e35eda">https://gbif.org/dataset/a2728517-c791-44c7-852e-db6234e35eda</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: The squat lobster genus Phylladiorhynchus Baba, 1969 in New Zealand and eastern Australia, with description of six new species.
Natural history specimen data linked to collectors and determiners held within, "The squat lobster genus Phylladiorhynchus Baba, 1969 in New Zealand and eastern Australia, with description of six new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5644b1e6-649e-4bdb-9c2f-9547055eeb6f">https://bionomia.net/dataset/5644b1e6-649e-4bdb-9c2f-9547055eeb6f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5644b1e6-649e-4bdb-9c2f-9547055eeb6f">https://gbif.org/dataset/5644b1e6-649e-4bdb-9c2f-9547055eeb6f</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new pygmy squid, Idiosepius hallami n. sp. (Cephalopoda: Idiosepiidae) from eastern Australia and elevation of the southern endemic ' notoides' clade to a new genus, Xipholeptos n. gen..
Natural history specimen data linked to collectors and determiners held within, "A new pygmy squid, Idiosepius hallami n. sp. (Cephalopoda: Idiosepiidae) from eastern Australia and elevation of the southern endemic ' notoides' clade to a new genus, Xipholeptos n. gen.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f">https://bionomia.net/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f">https://gbif.org/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: New species of Caloca Mosely (Trichoptera: Calocidae) from eastern Australia.
Natural history specimen data linked to collectors and determiners held within, "New species of Caloca Mosely (Trichoptera: Calocidae) from eastern Australia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1d528008-3930-4ef3-a9bb-d5e070ea6e25">https://bionomia.net/dataset/1d528008-3930-4ef3-a9bb-d5e070ea6e25</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1d528008-3930-4ef3-a9bb-d5e070ea6e25">https://gbif.org/dataset/1d528008-3930-4ef3-a9bb-d5e070ea6e25</a>. Formatted as a Frictionless Data package.
HF Radar surface current velocity dataset in the Eastern Australia (2012-2023): version 1.0
<p>This dataset contains the HF radar surface current velocity collected along the eastern Australian coast from 2012 to 2023. It includes data from two radar sites: Coff Harbour (COF, 153°9'E 30°18'S) and Newcastle (NEWC, 151°49'E 32°55'S). The spatial resolutions of the data are 1.5km upstream (COF radar) and 6km downstream (NEWC), and they cover an area approximately 150km from the coast. The dataset covers the period from 2012 to 2020 for the upstream radar (COF) and from 2018 to 2024 for the downstream radar (NEWC). The dataset was quality-checked and gap-filled by the variational approach (2dVar). Two-dimensional variables: Sea-surface current velocity in zonal (UCUR) and meridional (VCUR) directions. </p>
Table 1 in Fission track dating of obsidian source samples from the Willaumez Peninsula, Papua New Guinea and eastern Australia
<p>Table 1. Measurement of thermal neutron fluence.1</p><table><tbody><tr><th>monitor</th><th>external detector</th><th>B (109ntl)</th><th>trackdensity onext.detector (105tcm2)</th><th>thermal neutronfluence (1015ncm2)</th></tr></tbody><tbody><tr><th>Auwire</th><td>TODO</td><td>TODO</td><td>TODO</td><td>2.399±0.034</td></tr><tr><th>Cowire</th><td>TODO</td><td>TODO</td><td>TODO</td><td>2.392±0.025</td></tr><tr><th>CNlglass</th><td>mIca</td><td>1.873±0.025</td><td>13.43±0.26</td><td>2.515±0.036</td></tr><tr><td>makrofol</td><td>1.863±0.023</td><td>13.24±0.26</td><td>2.468±0.058</td></tr><tr><th>CN2glass</th><td>mIca</td><td>1.985±0.007</td><td>12.34±0.25</td><td>2.449±0.051</td></tr><tr><td>makrofol</td><td>2.016±0.041</td><td>12.31±0.25</td><td>2.482±0.072</td></tr></tbody></table><p>1 Calibration of glass dosimeters (B value measurement) was performed by using cobalt and gold monitors (Bonetti <i>et al.,</i> 1994). The thermal neutron fluence value used in the age measurements has been obtained as a weighted mean of the values listed in the last column.</p>
Hydrodynamic daily climatology of South Eastern Australia based on a 22 year run of the SEA-COFS model
<p>This dataset is a daily climatology created based on a 22 year free run of the SEA-COFS model full domain (EAC 25.25 - 45.55 °S) forced with BARRA-R winds and tides, spanning from January 1994 to September 2016. The model has 30 sigma-stretch vertical levels and an across-shore resolution of 2.5 km (on shelf) – 6 km (off shelf) and 5 km along-shore. The original dataset can be access here:</p> <p>Li, J & Kerry C. (2021). A high-resolution, 22-year, free-running, hydrodynamic simulation of the East Australia Current System using the Regional Ocean Modeling System (Version 2.0). <a href="https://doi.org/10.26190/TT1Q-NP46">https://doi.org/10.26190/TT1Q-NP46</a></p> <p>For a full description of this version of the model and its validation refer to the following papers:</p> <ul> <li><strong>Li, J, Roughan, M. & Kerry, C.</strong> (2021). <a href="https://doi.org/10.1029/2021GL094115%20">Dynamics of interannual eddy kinetic energy modulations in a Western Boundary Current</a>. <em>Geophysical Research Letters,</em>Vol 48, October 2021.DOI: <a href="https://doi.org/10.1029/2021GL094115">https://doi.org/10.1029/2021GL094115</a> <a href="http://www.oceanography.unsw.edu.au/private/publications/2021/2021GL094115.pdf">[PDF file]</a></li> <li> </li> <li><strong>Li, J, Roughan, M. & Kerry, C.</strong> (2022). <a href="https://doi.org/10.1175/JCLI-D-21-0622.1">Variability and Drivers of Ocean Temperature Extremes in a Warming Western Boundary Current</a>. <em>Journal Of Climate,</em> February 2022. DOI: <a href="https://doi.org/10.1175/JCLI-D-21-0622.1">https://doi.org/10.1175/JCLI-D-21-0622.1</a> <a href="http://www.oceanography.unsw.edu.au/private/publications/2022/Li_2022.pdf">[PDF file]</a></li> </ul> <p>This daily climatology of 365 days was created with NCO tools by taking the mean of the 22 ROMS output files (one for each year) containing daily averages, to generate each climatological day. Specific commands used are recorded in the NetCDF file history. Leap year days were excluded since its climatology was computed with only 5 instances.</p> <p>A sample file with the climatological data for January 1st is provided here as an example of the NetCDF format of the dataset. The entire dataset is one file of approximately 62GB and can be provided upon request. </p> <p><strong>NOTE: </strong>The ocean_time variable reflects the dates of the year 1994, but the values of the variables correspond to climatological values computed as described. </p> <p>The ROMS variables below are present in this daily climatology, as well as the S-coordinate stretching curves, grid defining variables and other time independent parameters:</p> <p>AKs = "time-averaged salinity vertical diffusion coefficient" [meter2 seconds-1]</p> <p>AKt = "time-averaged temperature vertical diffusion coefficient" [meter2 seconds-1]</p> <p>AKv = "time-averaged vertical viscosity coefficient" [meter2 seconds-1]</p> <p>bustr = "time-averaged bottom u-momentum stress" [newton meter-2]</p> <p>bvstr = "time-averaged bottom v-momentum stress" [newton meter-2]</p> <p>omega = "time-averaged S-coordinate vertical momentum component" [meter3 second-1]</p> <p>pvorticity = "time-averaged potential vorticity" [meter-1 second-1]</p> <p>pvorticity = "time-averaged 2D potential vorticity" [meter-1 second-1]</p> <p>rho = "time-averaged density anomaly" [kilogram meter-3]</p> <p>rvorticity = "time-averaged relative vorticity, vertical component" [second-1]</p> <p>rvorticity_bar = "time-averaged 2D relative vorticity" [second-1]</p> <p>salt: = "time-averaged salinity" [PSU]</p> <p>shflux = "time-averaged surface net heat flux" [watt meter-2]</p> <p>ssflux = "time-averaged surface net salt flux, (E-P)*SALT" [meter second-1]</p> <p>sustr = "time-averaged surface u-momentum stress" [newton meter-2]</p> <p>svstr = "time-averaged surface v-momentum stress" [newton meter-2]</p> <p>temp = "time-averaged potential temperature" [Celsius]</p> <p>u = "time-averaged u-momentum component" [meter second-1]</p> <p>u_eastward = "time-averaged eastward momentum component at RHO-points" [meter second-1]</p> <p>ubar = "time-averaged vertically integrated u-momentum component" [meter second-1]</p> <p>ubar_eastward = "time-averaged eastward vertically integrated momentum component at RHO-points" [meter second-1]</p> <p>uu = "time-averaged u-momentum times u-momentum" [meter2 second-2]</p> <p>uv = "time-averaged u-momentum times v-momentum" [meter2 second-2]</p> <p>v = "time-averaged v-momentum component" [meter second-1]</p> <p>v_northward = "time-averaged northward momentum component at RHO-points" [meter second-1]</p> <p>vbar = "time-averaged vertically integrated v-momentum component" [meter second-1]</p> <p>vbar_northward = "time-averaged northward vertically integrated momentum component at RHO-points" [meter second-1]</p> <p>vv = "time-averaged v-momentum times v-momentum" [meter2 second-2]</p> <p>w = "time-averaged vertical momentum component" [meter second-1]</p>
Coordination of hydraulic and morphological traits across dominant grasses in eastern Australia
<p>1. Leaf hydraulic traits characterize plant drought tolerance and responses to climate change. Yet, plant hydraulics are biased towards northern hemisphere woody species. We collected rhizomes of several perennial grass species along a precipitation gradient in eastern Australia and grew them in an experimental garden to investigate potential tradeoffs between drought tolerance and plant morphology.</p> <p>2. We measured the following leaf hydraulic traits: the leaf water potential (Ψleaf) at 50% and 88% loss of leaf hydraulic conductance (P50Kleaf and P88Kleaf), the Ψleaf at 50% loss of stomatal conductance (P50gs), leaf turgor loss point (TLP), leaf dry matter content (LDMC), leaf modulus of elasticity (ε), and the slope of the relationship between predawn and midday Ψleaf. We also measured basal area, tiller density, seed head density, root collar diameter, plant height, and aboveground biomass of each individual.</p> <p>3. As expected, grass species varied widely in leaf-level drought tolerance, with loss of 88% hydraulic conductance occurring at a Ψleaf ranging from -1.52 to -4.01 MPa. However, all but one species lost leaf turgor, and most reached P50gs before this critical threshold. Taller more productive grass species tended to have drought vulnerable leaves characterized by low LDMC and less negative P88Kleaf. Species with greater tiller production experienced stomatal closure and lost turgor at more negative Ψleaf. Although our sample size was limited, we found no relationships between these species' traits and their climate of origin.</p> <p>4. Overall, we identified important hydraulic and morphological tradeoffs in Australian grasses that were surprisingly similar to those observed for woody plants: (1) xylem of taller species was less drought tolerant and (2) turgor loss occurs and stomatal closure begins before significant loss of Kleaf. These data build upon a small yet growing field of grass hydraulics and may be informative of species responses to further drought intensification in Australia.</p>
Figure 2 in Mitochondrial 12S rRNA sequences support the existence of a third species of freshwater blackfish (Percicthyidae: Gadopsis) from south-eastern Australia
Figure 2. Phylogenetic trees, using the PAUP software package (Swofford, 1998). A, Maximum parsimony, using a full exhaustive search with 1000 bootstrap replicates. B, Distance analysis, using the neighbour-joining option, bootstrap replicates set at 1000. C, Maximum likelihood, using the Tamura-Nei model with 100 bootstrap replicates.
Figures 28–39 in New species of Caloca Mosely (Trichoptera: Calocidae) from eastern Australia
Figures 28–39. Caloca ada, male (28–32): genitalia, dorsal (28), ventral (29), lateral (30); forewing (31); hindwing (32). C. disparala, male (33– 39): genitalia, dorsal (33), ventral (34), lateral (35); forewing (36); variations of the hindwing (37–39).
Coordination of hydraulic and morphological traits across dominant grasses in eastern Australia
Open the record for dataset details and reuse information.
Figure 1. from Euastacus morgani sp. n., a new spiny crayfish (Crustacea, Decapoda, Parastacidae) from the highland rainforests of eastern New South Wales, Australia - ZooKeys 85: 17-26 (11 March 2011) https://doi.org/10.3897/zookeys.85.1237
Figure 1. - Euastacus morgani sp. n. Female specimen, ACP 1103.
Data from: Conservation genetics of Notelaea lloydii (Oleaceae) in south-eastern Queensland, Australia
<p>Habitat fragmentation can increase the chance of population bottlenecks and inbreeding, and may ultimately lead to reduced fitness and local extinction. <em>Notelaea lloydii</em> is a native olive species endemic to Australia and listed as vulnerable due to its restricted distribution. A recent molecular systematics study has revealed there might be some geographic structuring among the <em>N. lloydii</em> populations. Therefore, we undertook a genome wide Single Nucleotide Polymorphism (SNP) analysis to determine levels and patterns of genetic diversity, inbreeding and gene flow within and among <em>N. lloydii</em> populations in south-eastern Queensland (SE-QLD). Furthermore, as the reproductive phase of a plant's life history has a profound influence on genetic diversity, life history reproductive traits were also studied. Our SNP analysis revealed low genetic diversity, inbreeding and significant genetic structuring even among proximate populations. Results of a flower and fruit bagging experiment in two consecutive seasons revealed that <em>N. lloydii </em>produced many flowers but only a few fruits survived to maturity. There were no differences in bagged and un-bagged flowering and fruiting rates and therefore, we conclude that the high fruit abortion rate was probably due to inbreeding depression and/or suboptimal conditions, rather than pollinator availability and insect attack. Overall, results of this study indicate that the populations of <em>N. lloydii</em> are small, inbred and genetically isolated and represent unique management units that require local conservation management due to ongoing threats associated with urbanisation.</p>
Figure 26 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 26. See caption on facing page.
Figure 17 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 17. See caption on facing page.
Figure 15 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 15. See caption on facing page.
Figure 9 in New Australian Species of Ampeliscidae (Crustacea: Amphipoda) from the Great Barrier Reef and Eastern Australia with a Key to Australian Species
Figure 9. Byblis wadara sp. nov., holotype, female, 5.4 mm, AM P.85990.
Figure 8 in New Australian Species of Ampeliscidae (Crustacea: Amphipoda) from the Great Barrier Reef and Eastern Australia with a Key to Australian Species
Figure 8. Byblis pialba sp. nov., holotype, female, 5.7 mm, AM P.85989.
Figure 5 in New Australian Species of Ampeliscidae (Crustacea: Amphipoda) from the Great Barrier Reef and Eastern Australia with a Key to Australian Species
Figure 5. Ampelisca mingela sp. nov., holotype, female, 9.0 mm, AM P.85992.
Figure 6 in New Australian Species of Ampeliscidae (Crustacea: Amphipoda) from the Great Barrier Reef and Eastern Australia with a Key to Australian Species
Figure 6. Byblis liena sp. nov., holotype, female, AM P.27290.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.