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155 results for “Cluster analysis”

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zenodo32/100

Modis and GA 7.0 Cluster Analysis Results

<p>Data output associated<strong><em> </em></strong>with Schuddeboom et al. 2018.</p>

opencc-by-4.0Mar 2018View details →
zenodo32/100

Data for Morphological analysis of chiral rod clusters from a coarse-grained single-site chiral potential

<p>Data relating to the paper &#39;Morphological analysis of chiral rod clusters from a coarse-grained single-site chiral potential&#39;. See the README for details.</p>

opencc-by-4.0Jul 2019View details →
zenodo32/100

Analysis of RNA polymerase II clusters in fixed embryos injected with antigen-binding fragments

<p>Data and scripts for the analysis of RNA polymerase II clusters. The data set includes data obtained from fixed zebrafish embryos injected with antigen-binding fragments, CellProfiler pipelines for the initial analysis of images are provided, along with Python scripts to export data into CSV format and execute downstream analysis.</p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

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.

opennotspecifiedMay 2009View details →
zenodo32/100

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.

opennotspecifiedMay 2011View details →
zenodo32/100

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.

opennotspecifiedMay 2011View details →
zenodo32/100

Theoretical analysis of correlations between two quantum fields exciting a three-level system using the cluster-expansion approach

<p>Dataset of the publication &quot;Theoretical analysis of correlations between two quantum fields exciting a three-level system using the cluster-expansion approach&quot; H. Rose, O. V. Tikhonova, T. Meier, and P. R. Sharapova, Proc. SPIE 11999, Ultrafast Phenomena and Nanophotonics XXVI, 1199905 (2022). (&nbsp; https://doi.org/10.1117/12.2608528 ). The zip file includes the data on which the plots shown in figures 1, 2, and 3 are based.</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Intermediary and supplemental data for publication "Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes and may be a result of modulation by latent herpesviruses: A computational analysis"

<p>Intermediary and supplemental data for publication &quot;Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes and may be a result of modulation by latent herpesviruses: A computational analysis&quot;</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Data for "Revealing the sources and sinks of negative cluster ions in an urban environment through quantitative analysis"

<p>This file consists of the detection efficiency of APi-TOF, the time series of total negative cluster ions and CS in urban Beijing, and the average spectrums of negative clusters ions measured by APi-TOF during haze and clean periods in urban Beijing, which have been analyzed in the manuscript &quot;Revealing the sources and sinks of negative cluster ions in an urban environment through quantitative analysis&quot;.&nbsp;For more details, please contact the author (rujing.yin@helsinki.fi).</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Datasets used in Consensus Clustering Problem in Single-cell Transcriptome Data Analysis

<p>20 benchmark scRNA-seq datasets used in&nbsp;Consensus Clustering Problem in Single-cell Transcriptome Data Analysis. In every datasets .zip files, it provided raw data files,&nbsp;the processed R code and the corresponding R objects. The datasets.xlsx file provided the detailed information of&nbsp;20 datasets.</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

DATASET - Automated grain sizing from UAV imagery of a gravel-bed river: benchmarking of three object-based methods and analysis of particle-size clustering

<p>Dataset used to compute the grain size distributions from in-field line sampling and digitally on orthoimages with automated methodologies and by manual labelling. It also contains the data used to produce spatial statistics.</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov32/100

Cluster Analysis of the Risk of Metabolic Syndrome in Women for Reproductive Age

ClinicalTrials.gov study NCT01826357. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Discovering biogeographic and ecological clusters with a graph theoretic spin on factor analysis

Open the record for dataset details and reuse information.

publicMay 2019View details →
dryad32/100

Data from: Cluster analysis successfully identifies clinically meaningful knee valgus moment patterns: frequency of early peaks reflects sex-specific ACL injury incidence

Open the record for dataset details and reuse information.

publicSep 2019View details →
zenodo28/100

Cluster analysis and its application in geochemistry

<p>This is the fourth session video recording of the Goldschmidt 2020 Virtual Workshop: Earth Science meets Data Science - Services &amp; Systems, Policies &amp; Procedures, Tools &amp; Techniques for Geochemistry.&nbsp; Moderated by Shaunna Morrison&nbsp;(Carnegie Earth and Planets Laboratory)</p> <p>Github repository:&nbsp;<a href="https://github.com/wadesnoopy/Goldschmidt-2020-cluster">https://github.com/wadesnoopy/Goldschmidt-2020-cluster</a></p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 3 from: Wang L-J, Gao M-D, Sheng M-Y, Yin J (2020) Cluster analysis of karyotype similarity coefficients in Epimedium (Berberidaceae): insights in the systematics and evolution. PhytoKeys 161: 11-26. https://doi.org/10.3897/phytokeys.161.51046

Figure 3 Diagram of cluster analysis of karyotype similarity coefficients in 51 Epimedium taxa and two Vancouveria species.

opencc-by-4.0Sep 2020View details →
zenodo28/100

Figure 2 from: Wang L-J, Gao M-D, Sheng M-Y, Yin J (2020) Cluster analysis of karyotype similarity coefficients in Epimedium (Berberidaceae): insights in the systematics and evolution. PhytoKeys 161: 11-26. https://doi.org/10.3897/phytokeys.161.51046

Figure 2 Mitotic metaphase chromosomes in 27 Epimedium taxa and two Vancouveria species. 25E. sagittatum26E. sagittatum var. glabratum27E. dolichostemon28E. truncatum29E. brevicornu30E. myrianthum31E. stellulatum32E. fargesii33E. elachyphyllum34E. koreanum35E. grandiflorum var. grandiflorum36E. grandiflorum var. thunbergianum37E. grandiflorum var. higoense38E. grandiflorum var. coelestre39E. sempervirens40E. sempervirens var. hypoglaucum41E. sempervirens var. multifoliolatum42E. trifoliatobinatum43E. diphyllum44E. cremeum45E. kitamuranum46E. setosum47E. alpinum48E. pubigerum49E. pinnatum subsp. colchicum50E. pinnatum cv. "Elegans" 51E. perralderianum52V. hexandra53V. chrysantha. Scale bars: 5 μm.

opencc-by-4.0Sep 2020View details →
zenodo28/100

Figure 1 from: Wang L-J, Gao M-D, Sheng M-Y, Yin J (2020) Cluster analysis of karyotype similarity coefficients in Epimedium (Berberidaceae): insights in the systematics and evolution. PhytoKeys 161: 11-26. https://doi.org/10.3897/phytokeys.161.51046

Figure 1 Mitotic metaphase chromosomes in 24 Epimedium species. 1E. ecalcaratum2E. shuichengense3E. platypetalum4E. davidii5E. pauciflorum6E. flavum7E. ilicifolium8E. mikinorii9E. membranaceum10E. lishihchenii11E. acuminatum12E. wushanense13E. leptorrhizum14E. baojingense15E. chlorandrum16E. luodianense17E. pudingense18E. glandulosopilosum19E. pseudowushanense20E. franchetii21E. enshiense22E. sutchuenense23E. zhushanense24E. pubescens. Scale bars: 5 μm.

opencc-by-4.0Sep 2020View details →
zenodo28/100

Supplementary material 1 from: Wang L-J, Gao M-D, Sheng M-Y, Yin J (2020) Cluster analysis of karyotype similarity coefficients in Epimedium (Berberidaceae): insights in the systematics and evolution. PhytoKeys 161: 11-26. https://doi.org/10.3897/phytokeys.161.51046

Table S1. Karyotype resemblance-near coefficients in 51 Epimedium taxa and two Vancouveria species

opencc-zeroSep 2020View details →
zenodo28/100

Data of "JGR-Cluster analysis of submicron particle number size distribution at SORPES station in Yangtze River Delta of East China"

<p>Data of &quot;JGR-Cluster analysis of submicron particle number size distribution at SORPES station in Yangtze River Delta of East China&quot;</p>

opencc-by-4.0Sep 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record