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.
16
datasets available to search
ShareScore release 0.9.0
Dataset results
16 results for “molecular discrimination”
Fig. 8 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 8. PCA. Principal component scatter plot (PCA) conducted on the elliptic Fourier descriptions of denticles shapes using the first 10 harmonics; this figure shows the first two principal components (PC1 and PC2 are on the x and y-axes, respectively).
Fig. 9 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 9. Linear discriminant analysis (LDA) of Trichodina spp. using normalized elliptical Fourier descriptors. Percentages indicate the proportion of the trace captured in each LD component.
Fig. 4. Tree derived from a in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 4. Tree derived from a Maximum Likelihood (ML) analysis. The bootstrap consensus tree bases on ML inferred from 500 replicates. Bootstrap values for ML are given above nodes.
Fig. 2 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 2. Diagrammatic drawings of denticles of trichodinids. (A and B) Denticle of Trichodina bellotti n. sp. from Austrolebias bellottii. (C) Trichodina hypsilepis redrawn from Wellborn (1967). (D) Trichodina heterodentata redrawn from Duncan (1977). (E) Trichodina paraheterodentata redrawn from Tang and Zhao (2013). (F) Trichodina pseudoheterodentata redrawn from Tang et al. (2017).
Fig. 3 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 3. Phylogenetic tree based on 18S rDNA sequences by Bayesian Inference, with the model Trn + I + G applied in Mrbayes v.3.2.1. The new sequenced forms are in bold. Numbers given at nodes of branches are the posterior probability value.
Fig. 5 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 5. Denticles silhouettes utilized on Fourier analysis. Trichodina bellottii n. sp., Trichodina heterodentata redrawn from Duncan (1977); Albaladejo and Arthur, 1989; Bondad-Reantaso and Arthur, 1989; Van As and Basson, 1989; Basson and Van As, 1994; Al Rasheid et al., 2000; Asmat, 2004; Dove and O'Donoghue, 2005; Dias et al., 2009; Martins et al., 2010; Benites de Pádua et al., 2012; Miranda et al., 2012; Valladão et al., 2014. Trichodina paraheterodentata redrawn from Tang and Zhao (2013). Trichodina pseudoheterodentata redrawn from Tang et al. (2017).
Fig. 1 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 1. Microphotographs of Trichodina bellottii n. sp. from Austrolebias bellottii. (A–D) Adhesive disc after dry silver impregnation. E) Ciliature. (F) Macronucleus with methylene-blue staining. Scale bars: 20 μm.
Trapped ion mobility spectrometry-guided molecular discrimination between plasmalogens and other ether lipids in lipidomics experiments
<p>Supplementary Dataset for the manuscript "Trapped ion mobility spectrometry-guided molecular discrimination between plasmalogens and other ether lipids in lipidomics experiments" under preparation for bioRxiv submission.<br>Data is packed into a zip archive according to ZENODO upload limitations.<br>in the top folder the actual analysis and respective files, as described in the publications supplementary materials can be found as <em>PLOP2 </em>folder (including raw data etc.).<br>The additional images explain the repo layout in a sketched form: <br>Additionally also for data readout the used <em>docker-compose.yml </em>and a github clone of the important <em>timsr </em>package is included.<br>PLEASE READ the README!.<br><br>Additionally the file `Calibration-2021-08-31_11-44-22.pdf` contains the calibration report, and `PLOP4_method.pdf` a hystar report of the used methodology.<br><br>For LSI Reporting Checklist see DOI: 10.5281/zenodo.13963972</p>
Fig. 7. Reconstructed denticles shapes using a in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 7. Reconstructed denticles shapes using a range of 20 harmonic.
Fig. 6 in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 6. Fourier harmonic power spectrum based on Elliptical Fourier analysis.
Fig. 8 in Ultrastructural differences in presumed photoreceptive organs and molecular data as a means for species discrimination in Polygordius (Annelida, Protodriliformia, Polygordiidae)
Fig. 8 Phylogram of maximum likelihood analysis of cytochrome oxidase I (COI) dataset produced in MEGA5.1 based on T92 + G + I model. Analysis of COI sequences of individuals of P. lacteus from Helgoland (North Sea), Beg Meil and Roscoff (Brittany); P. erythrophthalmus from Beg Meil, and P. appendiculatus from Helgoland, Roscoff and Ischia (Mediterranean Sea); and 1 sequence of O. limacina from GenBank used as out-group. Values on nodes indicate support from 1000 bootstrap replicates (only those greater than 70 % shown). Branch lengths (>0.50) are shown below the branches and scale bar indicates substitutions per position. * = prostomial red eyespots observed thus initially identified as P. erythrophthalmus
Fig. 7 in Ultrastructural differences in presumed photoreceptive organs and molecular data as a means for species discrimination in Polygordius (Annelida, Protodriliformia, Polygordiidae)
Fig. 7 Differences in the distribution of receptor cells within most frequent sensory organs between P. lacteus and P. appendiculatus (TEM, crosssections). a–c Three different sensory organs in P. lacteus; cavities with numerous sensory microvilli emerging from rhabdomeric receptor cells. Sensory processes of type 3 cells (sc 3) are most frequent due to more than seven rhabdomeric receptor cells per organ (up to three apices visible in each organ). The ecm surrounds the photoreceptive region toward the body cavity. d–f Three different sensory organs in P. appendiculatus with processes of ciliary sensory cells, especially ciliary branches of type 1 sensory cells. Arrows in e indicate several sectioned unbranched cilia of type 2 sensory cells. Note that besides differences in dominance of sensory processes the sensory organs are all in all smaller compared to the organs in P. lacteus (indicated by scale bars). ecm extracellular matrix, sc 1, sc 3 sensory cell type 1, 3
Discrimination of dysplastic nevi from common melanocytic nevi by cellular and molecular criteria
GEO Series GSE53223. Homo sapiens. 18 samples. Type: Expression profiling by array.
Genetic programming and gene expression profiling for molecular discrimination and characterization of lung cancers
GEO Series GSE6044. Homo sapiens. 47 samples. Type: Expression profiling by array.
N6-methyladenosine is a molecular signature for discrimination of self and non-self RNA by cytoplasmic RNA sensor RIG-I
GEO Series GSE136139. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Confusion Matrix - Discrimination from Molecular Dynamics trajectories
<p>One has 10 classes (the 9 endecapeptides + the control). The predictions were done on each data vector using the Random Forest classifier. </p> <p>Rows are the true labels and columns the predicted ones. The values are normalized by the total number of tests.</p> <p>First row would be ARG and of all predictions of the data 66% are true and 34% wrong distributed among the other amino acids as indicated in the cells.</p> <p>Colors are scaled from red (0) to blue (1) followig the values.</p>
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.