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2,326 results for “clusters”
FIGURE 5. Dendrograms from cluster analysis. a in Intra- and interspecific analysis of first instar larval morphology in the genus Berberomeloe Bologna 1989 (Coleoptera: Meloidae)
FIGURE 5. Dendrograms from cluster analysis. a—CA on morphometric measurements (asterisks indicate misclassifications); b—CA on morphometric measurements + discriminant characters among the two species (on grey: individuals from Granada). Broken line = height of cut.
Figure 4. Individual multilocus genotype clustering analysis for Podarcis carbonelli. A in Recent evolutionary history of the Iberian endemic lizards Podarcis bocagei (Seoane, 1884) and Podarcis carbonelli Pérez-Mellado, 1981 (Squamata: Lacertidae) revealed by allozyme and microsatellite markers
Figure 4. Individual multilocus genotype clustering analysis for Podarcis carbonelli. A, inferred population structure from the number of clusters (K) = 2 to 5. These plots were obtained from the runs producing the highest values of Ln probability for each value of K, assuming correlated allele frequencies. In these plots, each individual is represented by a column divided into K segments, the size of each corresponding to the individual's estimated membership fraction in each of the K clusters. See Table 1 for locality name abbreviations. B, variation of the value of DK with the number of clusters, following Evanno et al. (2005). C, pie charts representing the mean proportion of membership for K = 4 (chosen by the previous method) for each locality.
Figure 3. Individual multilocus genotype clustering analysis for Podarcis bocagei. A in Recent evolutionary history of the Iberian endemic lizards Podarcis bocagei (Seoane, 1884) and Podarcis carbonelli Pérez-Mellado, 1981 (Squamata: Lacertidae) revealed by allozyme and microsatellite markers
Figure 3. Individual multilocus genotype clustering analysis for Podarcis bocagei. A, inferred population structure from the number of clusters (K) = 2 to 5. These plots were obtained from the runs producing the highest values of Ln probability for each value of K, assuming correlated allele frequencies. In these plots, each individual is represented by a column divided into K segments, the size of each corresponding to the individual's estimated membership fraction in each of the K clusters. See Table 1 for locality name abbreviations. B, variation of the value of DK with the number of clusters, following Evanno et al. (2005). C, pie charts representing the mean proportion of membership for K = 3 and 5 (chosen by the previous method) for each locality.
Multiple Sclerosis lesions detection by a hybrid Watershed-Clustering algorithm
<p>Computer Aided Diagnosis (CAD) systems have been developing in the last years with the aim of helping the diagnosis and monitoring of several diseases. We present a novel CAD system based on a hybrid Watershed-Clustering algorithm for the detection of lesions in Multiple Sclerosis. Magnetic Resonance Imaging scans (FLAIR sequences without gadolinium) of 20 patients affected by Multiple Sclerosis with hyperintense lesions were studied. The CAD system consisted of the following automated processing steps: images recording, automated segmentation based on the Watershed algorithm, detection of lesions, extraction of both dynamic and morphological features, and classification of lesions by Cluster Analysis. The investigation was performed on 316 suspect regions including 255 lesion and 61 non-lesion cases. The Receiver Operating Characteristic analysis revealed a highly significant difference between lesions and non-lesions; the diagnostic accuracy was 87% (95% CI: 0.83–0.90), with an appropriate cut-off of 192.8; the sensitivity was 77% and the specificity was 87%. In conclusion, we developed a CAD system by using a modified algorithm for automated image segmentation which may discriminate MS lesions from non-lesions. The proposed method generates a detection out-put that may be support the clinical evaluation.</p>
Woe is the loner: Female Treefrogs prefer clusters of displaying males over single "hotshot" males
<p>Communal displays such as leks and choruses are puzzling phenomena, as it is not obvious why signalers or choosers should aggregate. It has been hypothesized that signalers enjoy higher per capita reproductive success because choosers prefer to sample among dense configurations ("clusters") that are easier to compare. While female preferences as well as the signal features of attractive males are well characterized in many chorusing species, we know little about how mate sampling is influenced by the spatial dynamics within communal displays. Here we ask how female Eastern Gray Treefrogs (<i>Hyla versicolor</i>) respond to isolated and clustered call stimuli in a simple 1 vs. 3 playback design. We explored i) whether females exhibit a general preference for call clusters, ii) whether spatial preference is robust to call-feature preference, and iii) how this affects the relative success of attractive and unattractive males in different spatial combinations. We found generalized spatial discrimination against lone callers but did observe fine-scale assessment of call features within clusters. The prominence of the spatial preference impacts the attractiveness of males, conferring particular advantage to attractive callers within clusters, while reducing attractiveness of isolated males regardless of their acoustic features. Our findings indicate that female frogs navigate complex choruses by initially orientating toward clusters of calling males, and then assess call-features within them. This study provides novel insight into the mate choice heuristics involved in animal choruses. </p>
Data for: Evolution of static and dynamical density correlations of one-dimensional soft-core bosons from the Tonks-Girardeau limit to a clustering fluid.
<p>Data and scripts to reproduce the figures of the paper "Evolution of static and dynamical density correlations of one-dimensional soft-core bosons from the Tonks-Girardeau limit to a clustering fluid."</p>
Water Cluster Electron Density Database
<p>This database contains electron densities represented in the def2-universal-JFIT atom centered basis for select members of the Database of Water Cluster Minima from Rakshit and co-workers. All densities are projected from the one particle reduced density matrix with the total number of electrons constrained to the correct number. </p> <p> </p> <p>See attached description for details.</p>
Effectiveness of community-based health education and home support program to reduce blood pressure among patients with uncontrolled hypertension in Nepal: A cluster-randomized trial
<p><b>Background: </b>Hypertension is a major global public health problem. Elevated blood pressure can cause cardiovascular and kidney diseases. We assessed the effectiveness of health education sessions and home support programs in reducing blood pressure among patients with uncontrolled hypertension in a suburban community of Nepal.</p> <p><b>Methods</b>: We conducted a community-based, open-level, parallel-group, cluster randomized controlled trial in Birendranagar municipality of Surkhet, Nepal. We randomly assigned four clusters (wards) into intervention and control arms. We provided four health education sessions, frequent home and usual care for intervention groups over six months. The participants of the control arm received only usual care from health facilities. The primary outcome of this study was the proportion of controlled systolic blood pressure (SBP). The analysis included all participants who completed follow-up at six months.</p> <p><b>Results</b>: 125 participants were assigned to either the intervention (n=63) or the control (n=62) group. Of them, 60 participants in each group completed six months follow-up. The proportion of controlled SBP was significantly higher among the intervention participants compared to the control (58.3% vs. 40%). Odds ratio of this was 2.1 with 95% CI: 1.01-4.35 (p=0.046) and that of controlled diastolic blood pressure (DBP) was 1.31 (0.63-2.72) (p=0.600). The mean change (follow-up minus baseline) in SBP was significantly higher in the intervention than in the usual care (-18.7 mmHg vs. -11.2 mmHg, p=0.041). Such mean change of DBP was also higher in the intervention (-10.95 mmHg vs. -5.53 mmHg, p=0.065). The knowledge score on hypertension improved by 2.38 (SD 2.4) in the intervention arm, which was significantly different from that of the control group, 0.13 (1.8) (p<0.001).</p> <p><b>Conclusions</b>: Multiple health education sessions complemented by frequent household visits by health volunteers can effectively improve knowledge on hypertension and reduce blood pressure among uncontrolled hypertensive patients at the community level in Nepal. </p> <p><b>Keywords:</b> Hypertension; Blood pressure; Systolic Blood Pressure; Diastolic Blood Pressure; Cardiovascular disease; Health Education; Home Support</p> <p><b>Trial Registration: </b>ClinicalTrial.gov: <span>NCT02981251</span></p>
Collision-induced dissociation of protonated uracil water clusters probed by molecular dynamics simulations
<p>This dataset contains the input and output files associated to the work of "Collision-induced dissociation of protonated uracil water clusters probed by molecular dynamics simulations"</p> <p> </p> <p> </p>
Long-read genome sequencing accelerated the cloning of Pm69 by resolving the complexity of a rapidly evolving resistance gene cluster in wheat
<p>Oxford Nanopore assembly of <em>Triticum turgidum</em> ssp. <em>dicoccoides, </em>cv. G305-3M.</p>
Defining objective clusters for rabies virus sequences using affinity propagation clustering
<table> <tbody> <tr> <td>Rabies is caused by lyssaviruses, and is one of the oldest known zoonoses. In recent years, more than 21,000 nucleotide sequences of rabies viruses (RABV), from the prototype species rabies lyssavirus, have been deposited in public databases. Subsequent phylogenetic analyses in combination with metadata suggest geographic distributions of RABV. However, these analyses somewhat experience technical difficulties in defining verifiable criteria for cluster allocations in phylogenetic trees inviting for a more rational approach. Therefore, we applied a relatively new mathematical clustering algorythm named ‘affinity propagation clustering’ (AP) to propose a standardized sub-species classification utilizing full-genome RABV sequences. Because AP has the advantage that it is computationally fast and works for any meaningful measure of similarity between data samples, it has previously been applied successfully in bioinformatics, for analysis of microarray and gene expression data, however, cluster analysis of sequences is still in its infancy. Existing (516) and original (46) full genome RABV sequences were used to demonstrate the application of AP for RABV clustering. On a global scale, AP proposed four clusters, i.e. New World cluster, Arctic/Arctic-like, Cosmopolitan, and Asian as previously assigned by phylogenetic studies. By combining AP with established phylogenetic analyses, it is possible to resolve phylogenetic relationships between verifiably determined clusters and sequences. This workflow will be useful in confirming cluster distributions in a uniform transparent manner, not only for RABV, but also for other comparative sequence analyses.</td> </tr> </tbody> </table>
Figure data of "Measurement report: Molecular-level investigation of atmospheric cluster ions at the tropical high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes"
<p>This dataset involves the data that is used for the figures in "Measurement report: Molecular-level investigation of atmospheric cluster ions at the tropical high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes".</p>
Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data
<p>Superficial white matter bundle atlas constructed using fiber clustering algorithms, based on 100 subjects of HCP database (probabilistic tractography). The ROIs of Desikan-Killiany atlas where used to label the final clusters.</p> <p>The atlas is composed of 525 fascicles, 267 bundles in the left hemisphere and 258 bundles in the right hemisphere. It has 384 bundles connecting pairs of different ROIs and 141 bundles connecting portions of the same ROI.</p>
Systematic Gene Expression Mapping Clusters Nuclear Receptors According to Their Function in the Brain - Website save
<p>This is a copy of the website that was related to mousepat.ics-mci.fr</p>
GG2 - Cluster-DEPP Models and Auxiliary data
<p>This is the auxiliary file for placing 16S onto the tree built in the GG2 project. </p>
Spatially resolved transcriptomics reveals innervation-responsive functional clusters in skeletal muscle
<p>Spatial Transcriptomics Data of murine skeletal muscle undergoing reversible nerve injury. Accompanying the manuscript, D'Ercole et al. <strong>"Spatially resolved transcriptomics reveals innervation-responsive functional clusters in skeletal muscle".</strong></p> <p> </p> <p><strong>Release v1: </strong>This release Includes all the code used to generate the figures and the processed and integrated original dataset in rds format.</p> <p> </p>
Microscopy data (1/2): interaction of the gene iscub with RNA polymerase II clusters in inhibitor-treated zebrafish embryos
<p>Microscopy image data containing fluorescently labeled gene loci, recruited RNA polymerase II, and elongating RNA polymerase II.</p> <p>This data set is for the gene <em>iscub</em> and is obtained from fixed zebrafish embryos, collected at the sphere stage of development. Embryos were treated prior to collection with control media, flavopiridol (10 µM, 30 minutes), JQ-1 (10 µM, 30 minutes), or hexanediol (3% weight/volume, 5 minutes). Data were recorded using an instant-SIM microscope (iSIM, VisiTech UK) with a 100X TIRF oil immersion objective (Nikon, NA 1.49, CFI SR HP Apo TIRF 100XAC Oil). Two samples were prepared per inhibitor condition, and images were recorded from 3-4 embryos per sample, as indicated in the file names.</p> <p>The image data are in the ND2 format (Nikon proprietary) and can be imported using the BioFormats importer (Open Microscopy Environment).</p>
Microscopy data (2/3): interaction of the gene foxd5 with RNA polymerase II clusters in inhibitor-treated zebrafish embryos
<p>Microscopy image data containing fluorescently labeled gene loci, recruited RNA polymerase II, and elongating RNA polymerase II.</p> <p>This data set is for the gene <em>foxd5</em> and is obtained from fixed zebrafish embryos, collected at the sphere stage of development. Embryos were treated prior to collection with control media, flavopiridol (10 µM, 30 minutes), JQ-1 (10 µM, 30 minutes), or hexanediol (3% weight/volume, 5 minutes). Data were recorded using an instant-SIM microscope (iSIM, VisiTech UK) with a 100X TIRF oil immersion objective (Nikon, NA 1.49, CFI SR HP Apo TIRF 100XAC Oil). Two samples were prepared per inhibitor condition, and images were recorded from 3-4 embryos per sample, as indicated in the file names.</p> <p>The image data are in the ND2 format (Nikon proprietary) and can be imported using the BioFormats importer (Open Microscopy Environment).</p>
Microscopy data (3/3): interaction of the gene foxd5 with RNA polymerase II clusters in inhibitor-treated zebrafish embryos
<p>Microscopy image data containing fluorescently labeled gene loci, recruited RNA polymerase II, and elongating RNA polymerase II.</p> <p>This data set is for the gene <em>foxd5</em> and is obtained from fixed zebrafish embryos, collected at the sphere stage of development. Embryos were treated prior to collection with control media, flavopiridol (10 µM, 30 minutes), JQ-1 (10 µM, 30 minutes), or hexanediol (3% weight/volume, 5 minutes). Data were recorded using an instant-SIM microscope (iSIM, VisiTech UK) with a 100X TIRF oil immersion objective (Nikon, NA 1.49, CFI SR HP Apo TIRF 100XAC Oil). Two samples were prepared per inhibitor condition, and images were recorded from 3-4 embryos per sample, as indicated in the file names.</p> <p>The image data are in the ND2 format (Nikon proprietary) and can be imported using the BioFormats importer (Open Microscopy Environment).</p>
Microscopy data (1/3): interaction of the gene foxd5 with RNA polymerase II clusters in inhibitor-treated zebrafish embryos
<p>Microscopy image data containing fluorescently labeled gene loci, recruited RNA polymerase II, and elongating RNA polymerase II.</p> <p>This data set is for the gene <em>foxd5</em> and is obtained from fixed zebrafish embryos, collected at the sphere stage of development. Embryos were treated prior to collection with control media, flavopiridol (10 µM, 30 minutes), JQ-1 (10 µM, 30 minutes), or hexanediol (3% weight/volume, 5 minutes). Data were recorded using an instant-SIM microscope (iSIM, VisiTech UK) with a 100X TIRF oil immersion objective (Nikon, NA 1.49, CFI SR HP Apo TIRF 100XAC Oil). Two samples were prepared per inhibitor condition, and images were recorded from 3-4 embryos per sample, as indicated in the file names.</p> <p>The image data are in the ND2 format (Nikon proprietary) and can be imported using the BioFormats importer (Open Microscopy Environment).</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.