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.
24
datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “Eudyptula minor”
Fig. 3 in Epidemiology and molecular phylogeny of Babesia sp. in Little Penguins Eudyptula minor in Australia
Fig. 3. Agarose gel electrophoresis of amplification products obtained through nested PCR tests targeting the 18S rRNA gene of Babesia (primers Bab5.1/BabB followed by RLBF/RLBR) or the mitochondrial cytochrome b gene of Haemoproteus/Plasmodium (primers HaemNFI/HaemNR3 followed by HaemF/HaemR2). The following samples are represented: (a) captive-born little penguin chick, negative blood smear; (b) adult wild little penguin, negative blood smear; (c) Babesia-infected adult wild little penguin, as confirmed through blood smear; (d) Haemoproteus-infected adult tropical screech owl, as confirmed through blood smear; (e) Plasmodium-inoculated chicken, raised in arthropod-free environment; (f) blood parasite-free chicken, raised in arthropodfree environment.
Fig. 1 in Epidemiology and molecular phylogeny of Babesia sp. in Little Penguins Eudyptula minor in Australia
Fig. 1. Geographic distribution of sampling locations, southeast Australia. Site details are given in Table 1. The geographic distribution of little penguins (black area) is shown in the top right map (adapted from Marchant and Higgins, 1990).
Fig. 4 in Epidemiology and molecular phylogeny of Babesia sp. in Little Penguins Eudyptula minor in Australia
Fig. 4. Maximum likelihood phylogenetic tree of the 18S rRNA gene of the studied Babesia lineages. Lineages identified in this study are emphasized in red, and other avianinfecting lineages are emphasized in blue. For each lineage, the following information is provided: morphospecies (Genbank ascension number) host species. For avianinfecting lineages, the geographic location is also provided. Branch lengths are drawn proportionally to evolutionary distance (scale bar is shown). For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.
Fig. 2 in Epidemiology and molecular phylogeny of Babesia sp. in Little Penguins Eudyptula minor in Australia
Fig. 2. Babesia sp. in the blood smear of a little penguin. Individual details: TAS- 124, male, adult, moulting, sampled at "Darlington Foreshore" (Maria Island, Tasmania) in 21/02/2013, Genbank ascension number KP144323, Giemsa stain.
Fig. 9 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 9. Similarity of Toxoplasma gondii from Little Penguins with representative strains from Archetypals I, II, and III in the B1 gene. A: shows polymorphisms at the 366 nucleotide. B: shows polymorphisms at the 504 nucleotide. Declaration of competing interest
Fig. 6 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 6. (And detail) – four parasites in a cyst within the cytoplasm of a host cell, spleen (x3810, bar = 2 μm) Image left: E - erythrocyte, Ph - phagocyte, P - protozoa; image right (detail): N - nucleus.
Fig. 5 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 5. Splenic impression smear, erythrocytes (E), splenic stromal cells (S) and numerous protozoa (arrows) (Wright's Giemsa stain, 1000x).
Fig. 4 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 4. Liver, intact and necrotic hepatocytes and numerous protozoa (arrows), free and within cysts (5 μm section, Martius Scarlet Blue stain, 400x). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 11 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 11. Liver, staining of protozoan antigen in intact and necrotic hepatocytes (x400 Toxoplasma polyclonal antibody IHC).
Fig. 3 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 3. Liver, necrotic focus (the area of relative pallor, within which numerous organisms were identifiable) (5 μm section, Haematoxylin and Eosin stain, 100x).
Fig. 10 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 10. Liver, several foci of brown staining indicate Toxoplasma antigen within a necrotic focus (x100, Toxoplasma polyclonal antibody IHC). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 8 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 8. Dividing protozoan forming merozoites (x15000, bar = 1 μm).
Fig. 7 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 7. Protozoan with apical complex (x15000, bar = 1 μm).
Fig. 2 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 2. Enlarged spleen with speckled tan areas of discolouration.
Fig. 1 in Fatal toxoplasmosis in Little Penguins (Eudyptula minor) from Penguin Island, Western Australia
Fig. 1. Enlarged liver with multiple, pinpoint cream to white spots.
Data for: Energetic consequences of prey type in little penguins (Eudyptula minor)
<p>Investigation of foraging decisions can help understand how animals efficiently gather and exploit food. Prey chase and handling times are important aspects of foraging efficiency, influencing the net energy gain derived from a prey item. However, these metrics are often overlooked in studies of foraging behaviour due to the difficulty in observing them. The present study used animal-borne cameras to investigate the type, duration and energetic consequences of predator-prey interactions in little penguins (<em>Eudyptula minor</em>) (n = 32) from two colonies in Bass Strait, south-eastern Australia. A total of 7 main prey items were observed and consumed by little penguins. Penguins were observed to consume prey types and use strategies that have not been previously documented. These included consumption of bellowsfish (<em>Macroramphosus scolopax</em>) and other fish species captured sheltering around jellyfish or extracted dead from the tentacles. Chase and handling time varied with prey type and lasted ~2 s for most prey. Profitability varied amongst prey types, with a greater amount of low profitable prey being consumed, suggesting a trade-off between minimising energetic costs, and increasing capture rates. These results highlight the use of animal-borne video data loggers to further understand the foraging adaptations of important predators in the marine environment.</p>
Data for: Energetic consequences of prey type in little penguins (Eudyptula minor)
Open the record for dataset details and reuse information.
Finite element modelling of hearing capabilities in the Little Penguin (Eudyptula minor)
Open the record for dataset details and reuse information.
Data from: Non-equilibrium conditions explain spatial variability in genetic structuring of little penguin (Eudyptula minor)
Factors responsible for spatial structuring of population genetic variation are varied, and in many instances there may be no obvious explanations for genetic structuring observed, or those invoked may reflect spurious correlations. A study of little penguins (Eudyptula minor) in southeast Australia documented low spatial structuring of genetic variation with the exception of colonies at the western limit of sampling, and this distinction was attributed to an intervening oceanographic feature (Bonney Upwelling), differences in breeding phenology, or sea level change. Here, we conducted sampling across the entire Australian range, employing additional markers (12 microsatellites and mitochondrial DNA, 697 individuals, 17 colonies). The zone of elevated genetic structuring previously observed actually represents the eastern half of a genetic cline, within which structuring exists over much shorter spatial scales than elsewhere. Colonies separated by as little as 27 km in the zone are genetically distinguishable, while outside the zone, homogeneity cannot be rejected at scales of up to 1400 km. Given a lack of additional physical or environmental barriers to gene flow, the zone of elevated genetic structuring may reflect secondary contact of lineages (with or without selection against interbreeding), or recent colonization and expansion from this region. This study highlights the importance of sampling scale to reveal the cause of genetic structuring.
Temperatures inside Little Penguin (Eudyptula minor) artificial nest habitats exceed upper thermal limits in a range-edge population
Open the record for dataset details and reuse information.
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.