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.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “Opisthokonta”
Fig. 1 in Distribution and Occurrence of Vairimorpha plodiae (Opisthokonta: Microspora) in the Indian Meal Moth, Plodia interpunctella (Lepidoptera: Pyralidae) Populations: An Extensive Field Study
Fig. 1. The microsporidian pathogen, Vairimorpha plodiae infections in Plodia interpunctella populations in Turkey. Infected populations (note that the pathogen naturally disperses in all populations). (AYD: Aydın, BOL: Bolu, DNZ: Denizli, GZP: Gaziantep, ISP: Isparta, İST: İstanbul, İZM: İzmir, MLT: Malatya, ORD: Ordu, SAM: Samsun, ST: Siirt, TRB: Trabzon)
A dynamic multicellularity emerges for collective invasion within opisthokonta
<p>Raw data used for the quantification of the Fonticula Collective behaviours : https://github.com/apicco/Fonticula_collective_invasion</p>
Phylogenomic testing of root hypotheses - demonstrative datasets - Opisthokonta and Proteobacteria
<p>The determination of the last common ancestor (LCA) of a group of species plays a vital role in evolutionary theory. Traditionally, an LCA is inferred by the rooting of a fully resolved species tree. From a theoretical perspective, however, inference of the LCA amounts to the reconstruction of just one branch - the root branch - of the true species tree, and should therefore be a much easier task than the full resolution of the species tree. Discarding the reliance on a hypothesised species tree and its rooting leads us to re-evaluate what phylogenetic signal is directly relevant to LCA inference, and to recast the task as that of sampling the total evidence from all gene families at the genomic scope. Here we reformulate LCA and root inference in the framework of statistical hypothesis testing and outline an analytical procedure to formally test competing a-priori LCA hypotheses and to infer confidence sets for the earliest speciation events in the history of a group of species. Applying our methods to two demonstrative datasets we show that our inference of the opisthokonta LCA is well in agreement with the common knowledge. Inference of the proteobacteria LCA shows that it is most closely related to modern Epsilonproteobacteria, raising the possibility that it may have been characterized by a chemolithoautotrophic and anaerobic life-style. Our inference is based on data comprising between 43% (opisthokonta) and 86% (proteobacteria) of all gene families. Approaching LCA inference within a statistical framework renders the phylogenomic inference powerful and robust.</p>
Phylogenomic testing of root hypotheses - demonstrative datasets - Opisthokonta and Proteobacteria
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.