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.
15
datasets available to search
ShareScore release 0.9.0
Dataset results
15 results for “Animal taxonomy”
Fig. 3 in Application Of Dna Barcoding In Taxonomy And Phylogeny: An Individual Case Of Coi Partial Gene Sequencing From Seven Animal Species
Fig. 3. Phylogenetic position of Macrobiotus sp., Bayesian inference phylogenetic tree. Sequences obtained by us are written in bold.
Fig. 1 in Application Of Dna Barcoding In Taxonomy And Phylogeny: An Individual Case Of Coi Partial Gene Sequencing From Seven Animal Species
Fig. 1. Phylogenetic position of D. lindholmi and L. a. exigua, Bayesian inference phylogenetic tree. Sequences obtained by us are written in bold.
Phylogenomics and the first higher taxonomy of Placozoa, an ancient and enigmatic animal phylum
<p>Placozoa is an ancient phylum of extraordinarily unusual animals: miniscule, ameboid creatures that lack most fundamental animal features. Despite high genetic diversity, only recently have the second and third species been named. While prior genomic studies suffer from incomplete placozoan taxon sampling, we more than double the count with protein sequences from seven key genomes and produce the first nuclear phylogenomic reconstruction of all major placozoan lineages. This leads us to the first complete Linnaean taxonomic classification of Placozoa, over a century after its discovery: This may be the only time in the 21st century when an entire higher taxonomy for a whole animal phylum is formalized. Our classification establishes 2 new classes, 4 new orders, 3 new families, 1 new genus, and 1 new species, namely classes Polyplacotomia and Uniplacotomia; orders Polyplacotomea, Trichoplacea, Cladhexea, and Hoilungea; families Polyplacotomidae, Cladtertiidae, and Hoilungidae; and genus <em>Cladtertia</em> with species <em>Cladtertia</em> <em>collaboinventa</em>, nov. Our likelihood and gene content tree topologies refine the relationships determined in previous studies. Adding morphological data into our phylogenomic matrices suggests sponges (Porifera) as the sister to other animals, indicating that modest data addition shifts this node away from comb jellies (Ctenophora). Furthermore, by adding the first genomic protein data of the exceptionally distinct and branching Polyplacotoma mediterranea, we solidify its position as sister to all other placozoans; a divergence we estimate to be over 400 million years old. Yet even this deep split sits on a long branch to other animals, suggesting a bottleneck event followed by diversification. Ancestral state reconstructions indicate large shifts in gene content within Placozoa, with <em>Hoilungia</em> <em>hongkongensis</em> and its closest relatives having the most unique genetics.</p>
Phylogenomics and the first higher taxonomy of Placozoa, an ancient and enigmatic animal phylum
Open the record for dataset details and reuse information.
Figure 7 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 7. Scanning electron microscopy picture of trophi of Abrochtha sonneborni sp. nov. in caudal view. Scale bar = 10 Mm.
Figure 6 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 6. Abrochtha kingi sp. nov.: scanning electron microscopy pictures of details of body morphology. A, head, ventrolateral view; B, antenna; C, foot; D, rostrum; E, epidermis. Scale bars = 10 Mm (A), 5 Mm (B–D), 2 Mm (E).
Figure 5. A in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 5. A, Abrochtha kingi sp. nov.: habitus in dorsal view. B, Abrochtha sonneborni sp. nov.: habitus in dorsal view. Scale bar = 50 Mm.
Figure 4 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 4. Scanning electron microscopy pictures of trophi of Abrochtha meselsoni sp. nov. (A, B) and Abrochtha kingi sp. nov. (C, D). A, C, caudal view; B, D, cephalic view. Scale bar = 5 Mm.
Figure 2 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 2. Abrochtha meselsoni sp. nov. A, habitus in dorsal view; B, lateral view. Scale bar = 50 Mm.
Figure 1. Best selected tree from a maximum likelihood reconstruction for the cytochrome c oxidase subunit I in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 1. Best selected tree from a maximum likelihood reconstruction for the cytochrome c oxidase subunit I data set under the general time reversible model with gamma distribution, displaying all compatible groupings and with average branch lengths proportional to numbers of substitutions per site, indicated by the scale bar. Bootstrap support values above 80% are shown below each branch; posterior probabilities above 0.8 from 36 000 sampled trees from the Bayesian analysis are shown above each branch. Support values for within-species relationships are not shown. Filled circles indicate clades (and singlets) identified by the 4¥ rule; open diamonds indicate clades (and singlets) identified by the generalized mixed yule coalescent model. Names refer to the species and the clonal populations.
Figure 3 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 3. Abrochtha meselsoni sp. nov. Scanning electron microscopy pictures of details of body morphology. A, habitus, lateral view; B, head; C, foot; D, antenna; E, rostrum; F, epidermis. Scale bars = 25 Mm (A), 10 Mm (B, E), 5 Mm (C, D), 2 Mm (F).
Figure 8. Live animal images. a in Homoplasy in shells discombobulated the taxonomy: revision of the larger helicarionid land snails of northern Queensland, Australia (Stylommatophora: Helicarionidae)
Figure 8. Live animal images. a). Geminitor laura, Black Mountain. b). Geminitor villaris. c). Pravonitor aquilonia, AM C.524931, Bellenden Ker. d). Pravonitor aquilonia, Cape Tribulation. e). Pravonitor aquilonia, AM C.524981, Mossman Gorge. f). Elatonitor suturalis, Wooroonooran NP. Images not to scale. Photographs by Adnan Moussalli (a, d, f), Frank Köhler (c, e) and Queensland Museum (b).
Microtus agrestis microbiome reads, taxonomy and related animal metadata
<p class="MsoNormal">Mammalian gastrointestinal microbiomes are highly variable, both within individuals and across populations, with changes linked to time and ageing being widely reported. Discerning patterns of change in wild mammal populations can therefore prove challenging. We used high-throughput community sequencing methods to characterise the microbiome of wild field voles (<em>Microtus agrestis</em>) from faecal samples collected across 12 live-trapping field sessions, and then at cull. Changes in α- and β-diversity were modelled over three timescales. Short-term differences (following 1–2 days captivity) were analysed between capture and cull, to ascertain the degree to which the microbiome can change following a rapid change in environment. Medium-term changes were measured between successive trapping sessions (12–16 days apart), and long-term changes between the first and final capture of an individual (from 24 to 129 days). The short period between capture and cull was characterised by a marked loss of species richness, while over medium- and long-term in the field, richness slightly increased. Changes across both short and long timescales indicated shifts from a Firmicutes-dominant to a Bacteroidetes-dominant microbiome. Dramatic changes following captivity indicate that changes in microbiome diversity can be rapid, following a change of environment (food sources, temperature, lighting etc.). Medium- and long-term patterns of change indicate an accrual of gut bacteria associated with ageing, with these new bacteria being predominately represented by Bacteroidetes. While the patterns of change observed are unlikely to be universal to wild mammal populations, the potential for analogous shifts across timescales should be considered whenever studying wild animal microbiomes. This is especially true if studies involve animal captivity, as there are potential ramifications both for animal health, and the validity of the data itself as a reflection of a 'natural' state of an animal.</p>
Microtus agrestis microbiome reads, taxonomy and related animal metadata
Open the record for dataset details and reuse information.
Fig. 2 in Application Of Dna Barcoding In Taxonomy And Phylogeny: An Individual Case Of Coi Partial Gene Sequencing From Seven Animal Species
Fig. 2. Phylogenetic position of E. roumanicus, Bayesian inference phylogenetic tree. Sequences obtained by us are written in bold.
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.