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.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Samea”
sameAs.cc - Dataset of 558M owl:sameAs statements
<p>sameAs.cc is the largest dataset of identity statements that has been gathered from the LOD Cloud to date. This dataset is available in HDT format (Header Dictionary, Triples), and contains 558,943,116 distinct owl:sameAs statements collected from the LOD Laundromat corpus.</p>
MetaLink - Closure and Error Degree of 556M owl:sameAs statements
<p>MetaLink is a dataset that contains metadata for a very large set of owl:sameAs links that are crawled from the LOD Cloud. MetaLink encodes a previously published error metric for each of these links <a href="https://www.cs.vu.nl/~frankh/postscript/ISWC2018.pdf">[Raad et al., 2018]</a>. This error degree ranges from 0.0 (most likely correct) till 1.0 (most likely incorrect). The idea is that the more an owl:sameAs link is isolated in the network (of all owl:sameAs links), the higher error degree this link will have. Experiments shows that discarding the 1M owl:sameAs links with an error degree >0.99 can significantly increase the quality of the transitive closure. Also by keeping only the 400M owl:sameAs links with error degree <= 0.4, the resulting closure is 100% precise in several manually evaluated cases. The resulted equivalence classes from these different closures are <a href="https://zenodo.org/record/3345674">publicly available online.</a></p> <p>MetaLink is published in combination with LOD-a-lot, a dataset that is based on a very large crawl of a subset of the LOD Cloud. By combining MetaLink and LOD-a-lot, applications are able to make informed decisions about whether or not to follow specific links on the LOD Cloud. This dataset contains 4,352,602,452 unique triples, and is available in HDT (Header Dictionary Triples) format. It can be navigated online using the TriplyDB Linked Data hosting platform: <a href="https://krr.triply.cc/krr/metalink">https://krr.triply.cc/krr/metalink</a>. </p> <p>A figure describing the vocabulary of the MetaLink dataset can be found <a href="https://krr.triply.cc/krr/metalink/assets/5ced8dbfaea75b02bc98784f">here</a>. Classes are displayed by circles and properties are displayed by arcs. The MetaLink-specific classes and properties are displayed in red, the blue classes and properties are reused from existing vocabularies.</p>
Figure 1 in New records of predation of Samea multiplicalis (Guenée, 1854) (Lepidoptera: Pyralidae) by social wasps (Hymenoptera: Vespidae) on Salvinia auriculata (Aublet, 1775) (Salviniales: Salviniaceae) in Brazil
Figure 1. Social wasps foraging Samea multiplicalis on Salvinia auriculata plants. A-B. Polybia ignobilis. C-D. Polybia fastidiosuscula. D-E. Brachygastra lecheguana. G-H. Protonectarina sylveirae. / Avispas sociales alimentándose de Samea multiplicalis en plantas de Salvinia auriculata. A-B. Polybia ignobilis. C-D. Polybia fastidiosuscula. D-E. Brachygastra lecheguana. G-H. Protonectarina sylveirae.
Figure 3 from: Sharkey M, Parys K, Stoelb S (2011) A new genus of Agathidinae with the description of a new species parasitic on Samea multiplicalis (Guenée). Journal of Hymenoptera Research 23: 43-53. https://doi.org/10.3897/jhr.23.1100
Figure 3 - Neothlipsis parysae a Lateral head and mesosoma b Dorsal head and thorax c Dorsal propodeum and metasomal terga 1–3 d Wings.
Figure 1 from: Sharkey M, Parys K, Stoelb S (2011) A new genus of Agathidinae with the description of a new species parasitic on Samea multiplicalis (Guenée). Journal of Hymenoptera Research 23: 43-53. https://doi.org/10.3897/jhr.23.1100
Figure 1 - Semistrict consensus tree of two trees inferred from 28SrDNA sequence data aligned by secondary structure, one the majority rule tree using Bayesian methods and the other the unique tree produced using maximum parsimony. Bayesian analysis runtime = 2 million generations (25% burnin). Branch support: Bayesian posterior probabilities / symmetric resampling (1,000 replicates). (-) indicates branch support below 0.5 / 50.
Figure 4 from: Sharkey M, Parys K, Stoelb S (2011) A new genus of Agathidinae with the description of a new species parasitic on Samea multiplicalis (Guenée). Journal of Hymenoptera Research 23: 43-53. https://doi.org/10.3897/jhr.23.1100
Figure 4 - Neothlipsis agathoides a Lateral habitus of a melanic specimen b Lateral habitus of a pale specimen c Dorsal habitus d Fore wing, arrow pointing to second submarginal vein.
Figure 2 from: Sharkey M, Parys K, Stoelb S (2011) A new genus of Agathidinae with the description of a new species parasitic on Samea multiplicalis (Guenée). Journal of Hymenoptera Research 23: 43-53. https://doi.org/10.3897/jhr.23.1100
Figure 2 - Neothlipsis parysae a Lateral habitus b Dorsal habitus.
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.