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.
1,930
datasets available to search
ShareScore release 0.9.0
Dataset results
1,930 results for “Matrix”
Figure 11 from: Wilke T, Ahlrichs WH, Bininda-Emonds ORP (2019) A weighted taxonomic matrix key for species of the rotifer genus Synchaeta (Rotifera, Monogononta, Synchaetidae). ZooKeys 871: 1-40. https://doi.org/10.3897/zookeys.871.36435
Figure 11 Cerebral eye and pigment granules. A–CLM images with regard to the cerebral eye (dashed arrows), frontal aggregations and streams of pigment granules (normal arrows) A Distinct frontal aggregations of pigment granules present, cerebral eye of normal size (S. triophthalma) B Frontal aggregations and streams of pigment granules are absent, cerebral eye of normal size (S. pectinata) C distinct streams of pigment granules are present, large cerebral eye (S. baltica). Scale bar: 20 µm.
Figure 12 from: Wilke T, Ahlrichs WH, Bininda-Emonds ORP (2019) A weighted taxonomic matrix key for species of the rotifer genus Synchaeta (Rotifera, Monogononta, Synchaetidae). ZooKeys 871: 1-40. https://doi.org/10.3897/zookeys.871.36435
Figure 12 Dorsal antenna. A, B REM images of the basal opening of the dorsal antenna A slit-shaped (S. pectinata) B round (S. tremula). Scale bar: 10 µm.
Figure 1 from: Wilke T, Ahlrichs WH, Bininda-Emonds ORP (2019) A weighted taxonomic matrix key for species of the rotifer genus Synchaeta (Rotifera, Monogononta, Synchaetidae). ZooKeys 871: 1-40. https://doi.org/10.3897/zookeys.871.36435
Figure 1 Species of Synchaeta from freshwater habitats. AS. pectinataBS. grandisCS. oblongaDS. tremulaES. tremuloidaFS. prominulaGS. kitinaHS. stylataIS. longipesJS. verrucosaKS. lakowitzianaLS. pachypoidaMS. pachypoda. Drawings modified from: F, L, MKutikova and Vassiljeva (1982)JJersabek et al. (2003b)KLucks (1930). Scale bar: 100 µm.
P value correlation matrix miR-124
<p>P values of a correlation matrix between miR-124 and AQP3 expression in THP1 cell line</p>
P value of correlation matrix miR-874
<p>P values of a correlation matrix between miR-874 and AQP3 expression in THP1 cell line</p>
TABLE 3. Distance matrix from nucleotide sequences for COI, 16 S in A new species of stauromedusa, Calvadosia festivala (Cnidaria: Staurozoa: Kishinouyeidae) from India
<p><b>TABLE 3.</b> Distance matrix from nucleotide sequences for COI, 16S, and 18S alignments from <i>Calvadosia</i> species closely related to <i>Calvadosia festivala</i> n. sp. “−”: represents absence of data for comparison (COI not available for <i>C. tasmaniensis</i> and <i>C. corbini</i>).</p><table><tbody><tr><th>Species</th><th>1</th><th>2</th><th>3</th><th>4</th><th>5</th></tr></tbody><tbody><tr><th>1. <i>C. tasmaniensis</i></th><td>COI: 0.0000 16S: 0.0000 18S: 0.0000</td><td></td><td></td><td></td><td></td></tr><tr><th>2. <i>C. lewisi</i></th><td>COI: − 16S: 0.0945 18S: 0.0017</td><td>COI: 0.0000 16S: 0.0000 18S: 0.0000</td><td></td><td></td><td></td></tr><tr><th>3. <i>C. corbini</i></th><td>COI: − 16S: 0.0985 18S: 0.0017</td><td>COI: − 16S: 0.1266 18S: 0.0038</td><td>COI: 0.0000 16S: 0.0000 18S: 0.0000</td><td></td><td></td></tr><tr><th>4. <i>C. festivala</i> n. sp.</th><td>COI: − 16S: 0.1400 18S: 0.0000</td><td>COI: 0.2215 16S: 0.1629 18S: 0.0014</td><td>COI: − 16S: 0.1430 18S: 0.0014</td><td>COI: 0.0000 16S: 0.0000 18S: 0.0000</td><td></td></tr><tr><th>5. <i>Calvadosia</i> sp. Moorea</th><td>COI: − 16S: 0.1917 18S: 0.0085</td><td>COI: 0.2506 16S: 0.2197 18S: 0.0070</td><td>COI: − 16S: 0.21009 18S: 0.0045</td><td>COI: 0.2158 16S: 0.2193 18S: 0.0083</td><td>COI: 0.0000 16S: 0.0000 18S: 0.0000</td></tr></tbody></table>
TABLE 3. Character state matrix derived from Table 1 in A description of Promanodes serafini gen. et sp. nov. from Baltic amber, with a review of related New Zealand Promanus Sharp, 1877 (Coleoptera: Trogossitidae)
<p><b>TABLE 3.</b> Character state matrix derived from Table 1.</p><table><tbody><tr><th>Taxon/Character</th><th>0 12345</th></tr></tbody><tbody><tr><th><i>Lophocateres</i></th><td>0 0 0 100</td></tr><tr><th><i>Grynocharis</i></th><td>200101</td></tr><tr><th><i>Promanus</i></th><td>101011</td></tr><tr><th><i>Promanodes</i></th><td>0 11011</td></tr></tbody></table>
Data Set For Projection-Based Density Matrix Renormalization Group in Density Functional Theory Embedding
<p><span>Funded by the National Science Center grant no 2021/43/I/ST4/02250 </span></p>
Matrix Data CBT-IVF Study
Open the record for dataset details and reuse information.
FIG. 5 in The data matrix
FIG. 5. — An example of a transformational approach in biogeography, similar to Brooks Parsimony Analysis (BPA). Both internal and terminal nodes of an areagram are coded for presence and absence of areas A-D; A, cladogram of relationships among areas A-D. Nodes 1-3 specify terminals, nodes 4-5 specify taxic relationships; B, the data matrix derived from all five nodes of the cladogram; C, the cladogram found after parsimony analysis of the matrix in B. The cladogram specifies that C is more closely related to D than any of the other areas even though there is no evidence of that relationship in the original areagram.
Figure 12 in Character-matrix based descriptions of two new nemertean (Nemertea) species
Figure 12. The different states of division of body wall longitudinal muscle layers. A, not divided. B, divided by connective tissue; C, divided by cephalic glands. Abbreviations: B, brain; CG, cephalic glands; ILM, inner longitudinal muscle layer; LM, longitudinal muscle layer; OLM, outer longitudinal muscle layer; P, proboscis; PS, precerebral septa; S, stomach.
Figure 13 in Character-matrix based descriptions of two new nemertean (Nemertea) species
Figure 13. Schematic representation of different types of precerebral septa. A, semi-closed septum; B, closed septum; C and D, septum lacking. Revised and redrawn after Kirsteuer, 1974.
Anatomical character matrix of early ornithischian dinosaurs
<p>Anatomical character matrix for the project "Taxonomic, palaeobiological and evolutionary implications of a new phylogenetic hypothesis for Ornithischia (Archosauria: Dinosauria)" - this dataset contains revised/updated anatomical character scores for most early (Middle Triassic - Early Jurassic) dinosauriforms and expands upon a number of previous studies in terms fo sampling. It contains a broader sample of early ornithischian dinosaur taxa then previous studies, for example the early thyreophroan <em>Scelidosaurus harrisonii, </em>the early neornithischians <em>Hexinlusaurus multidens </em>and <em>Agilisaurus louderbacki, </em>and the 'primitve' ornithischian <em>Laquintasaura venezualae </em>have all been added. The enigmatic and probleamtic taxon <em>Chilesaurus</em> <em>diegosaurezi</em> is also included in the dataset. </p> <p>The dataset now reresents the most up to date version of a working anatomical dataset of early dinosaurs and close dinosaur relatives, which has been designed primarily to analyse the interaltionships between the major dinosauriform groups. The taxa contained in the dataset were scored for 282 anatomical characters, producing a matrix that can be analysed using a number of different methods.</p> <p>The following anatomical characters are to be considered as additive characters: 4, 13, 18, 25, 63, 82, 84, 87, 89, 109, 142, 166, 174, 175, 184, 186, 190, 201, 203, 205, 209, 212, 225, 235, 236, 239, 250 and 256.</p>
Chinook salmon environmental data and allele frequency matrix
<p><span><span><span><span><span><span><span><span><span><span><span>Many species that undergo long breeding migrations, such as anadromous fishes, face highly heterogeneous environments along their migration corridors and at their spawning sites. These environmental challenges encountered at different life stages may act as strong selective pressures and drive local adaptation. However, the relative influence of environmental conditions along the migration corridor compared to the conditions at spawning sites on driving selection is still unknown. In this study, we performed genome-environment associations (GEA) to understand the relationship between landscape and environmental conditions driving selection in seven populations of the anadromous Chinook salmon (<i>Oncorhynchus tshawytscha)–</i>a species of important economic, social, cultural and ecological value–in the Columbia River basin. We extracted environmental variables for the shared migration corridors and at distinct spawning sites for each population, and used a Pool-seq approach to perform whole genome resequencing. Bayesian and univariate genome-environment association tests with migration-specific and spawning site-specific environmental variables indicated many more candidate SNPs associated with environmental conditions of the migration corridor compared to spawning sites. Specifically, variables associated with temperature, precipitation, terrain roughness, and elevation variables of the migration corridor were the most significant drivers of environmental selection. Additional analyses of neutral loci revealed two distinct clusters representing populations from different geographic regions of the drainage that also exhibit differences in adult migration timing (summer vs. fall). Tests for genomic regions under selection revealed a strong peak on chromosome 28, corresponding to the GREB1L/ROCK1 region that has been identified previously in salmonids as a region associated with adult migration timing. Our results show that environmental variation experienced throughout migration corridors imposed a greater selective pressure on Chinook salmon than environmental conditions at spawning sites.</span></span></span></span></span></span></span></span></span></span></span></p>
Oral active matrix metalloproteinase-8 immunotest may be less accurate in haemato-oncologic patients
<p>Dataset of the corresponding study</p>
Figure 4 from: Gandhi K, Epstein M, Koehle J, Purrington F (2011) A quarter of a century succession of epigaeic beetle assemblages in remnant habitats in an urbanized matrix (Coleoptera, Carabidae). ZooKeys 147: 667-689. https://doi.org/10.3897/zookeys.147.1954
Figure 4 - Dendrogram for the similarity/dissimilarity in standardized per trap catches of epigaeic beetle assemblages in sampling years 1980 and 2005 (A) and 1981 and 2005 (B) in cottonwood and oak stands, and old fields.
Figure 2 from: Gandhi K, Epstein M, Koehle J, Purrington F (2011) A quarter of a century succession of epigaeic beetle assemblages in remnant habitats in an urbanized matrix (Coleoptera, Carabidae). ZooKeys 147: 667-689. https://doi.org/10.3897/zookeys.147.1954
Figure 2 - Mean (+SE) standardized total catches of epigaeic beetles (A), and Cyclotrachelus sodalis sodalis LeConte (B) caught in 1980 and 2005 in cottonwood (N = 3) and oak (N =4) stands, and old fields (N = 2).
Figure 3 from: Gandhi K, Epstein M, Koehle J, Purrington F (2011) A quarter of a century succession of epigaeic beetle assemblages in remnant habitats in an urbanized matrix (Coleoptera, Carabidae). ZooKeys 147: 667-689. https://doi.org/10.3897/zookeys.147.1954
Figure 3 - Estimated mean species richness of epigaeic beetles using rarefaction analyses in sampling years 1980 and 2005 (A) and 1981 and 2005 (B) in cottonwood and oak stands, and old fields.
Figure 8 from: Smith A, Dornburg R, Wheeler Q (2014) Larvae of the genus Eleodes (Coleoptera, Tenebrionidae): matrix-based descriptions, cladistic analysis, and key to late instars. ZooKeys 415: 217-268. https://doi.org/10.3897/zookeys.415.5887
Figure 8 - Eleodes (Melaneleodes) anthracinus, epipharnyx. asp = anterior spines, msp = medial spines, mst = microsetae, pap = sensory papillae, tor = tormae. Scale bar = 1 mm.
Figure 9 from: Smith A, Dornburg R, Wheeler Q (2014) Larvae of the genus Eleodes (Coleoptera, Tenebrionidae): matrix-based descriptions, cladistic analysis, and key to late instars. ZooKeys 415: 217-268. https://doi.org/10.3897/zookeys.415.5887
Figure 9 - Epipharynges of four Eleodes species: A Eleodes (Melaneleodes) carbonarius B Eleodes (Eleodes) armatus C Eleodes (Eleodes) hispilabris D Eleodes (Eleodes) tribulus. Scale bars = 1 mm.
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.