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2,326 results for “clusters”
Lanes, clusters, lines of Sight: Modelling diagnostic eyecare clinics to improve patient flow
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Temporal cluster-based organisation of sleep spindles underlies motor memory consolidation
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Reconstitution of phase-separated signaling clusters and actin polymerization on supported lipid bilayers
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Codes and data for: Clustering optimisation method for highly connected biological data
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Data from: A village doctor-led mobile health intervention for cardiovascular risk reduction in rural China: cluster randomised controlled trial
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Uncovering a miltiradiene biosynthetic gene cluster in the Lamiaceae reveals a dynamic evolutionary trajectory
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Data from: Defaunation increases clustering and fine-scale spatial genetic structure in a small-seeded palm despite remaining small-bodied frugivores
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Dataset for the 3D-nuclei-clustering-tool
<p>A dataset to illustrate the functioning of the <a href="https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/3D_Nuclei_Clustering_Tool">3D_Nuclei_Clustering_Tool.</a></p>
Characteristic and spatiotemporal variation of air pollution in Northern China based on correlation analysis and clustering analysis of five air pollutants
<p>Data for "Characteristic and spatiotemporal variation of air pollution in Northern China based on correlation analysis and clustering analysis of five air pollutants"</p>
Palpal tibia without dense cluster of short setae (2c) in A revision of the African wolf spider genus Amblyothele Simon
Palpal tibia without dense cluster of short setae (2c)
Palpal tibia with dense ventral cluster of short setae in basal half (2a in A revision of the African wolf spider genus Amblyothele Simon
Palpal tibia with dense ventral cluster of short setae in basal half (2a
Spatial and Temporal Clustering of Anti-Glomerular Basement Membrane Disease
<p><strong>Background and objectives</strong> An environmental trigger has been proposed as an inciting factor in the development of anti-GBM disease. This multicenter, observational study sought to define the national incidence of anti-GBM disease during an 11-year period (2003–2014) in Ireland, investigate clustering of cases in time and space, and assess the effect of spatial variability in incidence on outcome.</p> <p><strong>Design, setting, participants, & measurements</strong> We ascertained cases by screening immunology laboratories for instances of positivity for anti-GBM antibody and the national renal histopathology registry for biopsy-proven cases. The population at risk was defined from national census data. We used a variable-window scan statistic to detect temporal clustering. A Bayesian spatial model was used to calculate standardized incidence ratios (SIRs) for each of the 26 counties.</p> <p><strong>Results</strong> Seventy-nine cases were included. National incidence was 1.64 (95% confidence interval [95% CI], 0.82 to 3.35) per million population per year. A temporal cluster (<em>n</em>=10) was identified during a 3-month period; six cases were resident in four rural counties in the southeast. Spatial analysis revealed wide regional variation in SIRs and a cluster (<em>n</em>=7) in the northwest (SIR, 1.71; 95% CI, 1.02 to 3.06). There were 29 deaths and 57 cases of ESRD during a mean follow-up of 2.9 years. Greater distance from diagnosis site to treating center, stratified by median distance traveled, did not significantly affect patient (hazard ratio, 1.80; 95% CI, 0.87 to 3.77) or renal (hazard ratio, 0.76; 95% CI, 0.40 to 1.13) survival.</p> <p><strong>Conclusions</strong> To our knowledge, this is the first study to report national incidence rates of anti-GBM disease and formally investigate patterns of incidence. Clustering of cases in time and space supports the hypothesis of an environmental trigger for disease onset. The substantial variability in regional incidence highlights the need for comprehensive country-wide studies to improve our understanding of the etiology of anti-GBM disease.</p>
A K-means Clustering Analysis of the Jovian and Terrestrial Magnetopauses
<p>Jovian magnetopause crossings used in the referenced paper and a README file</p>
Reproduction package for "ClG 0217+70: A massive merging galaxy cluster with a large radio halo and relics"
<p>This is the reproduction package for "ClG 0217+70: A massive merging galaxy cluster with a large radio halo and relics", which has been accepted for publication in A&A.</p> <p>To use this package, please read the README.</p> <p>This package is tested in an environment that contains:</p> <ul> <li>SPEX v3.06</li> <li>CIAO v4.12</li> <li>python 3.6.5 <ul> <li>numpy 1.14.3</li> <li>astropy 3.0.2</li> <li>astroquery 0.4</li> <li>scipy 1.1.0</li> <li>matplotlib 2.2.2</li> </ul> </li> </ul>
Topics in Research on International Relations 2011-2015: Results from Clustering of Citation Links
<p>Supplementary information for the paper</p> <p><strong>IR Theory </strong><strong>and the Core-Periphery Structure of Global IR - Lessons from Citation Analysis</strong></p> <p>by Thomas Risse, Wiebke Wemheuer-Vogelaar, and Frank Havemann (<em>International Studies Review</em>, 2022, Vol. 4, Iss. 3, <a href="https://doi.org/10.1093/isr/viac029">doi.org/10.1093/isr/viac029</a>)</p> <p> </p> <p>Description of Files:</p> <p>File 1: Top-300 Cited Sources and Citing IR Journals<br> file name: Havemann2020top-300-sources.pdf (fourth file in list)<br> content: List of top-300 cited sources and a list of IR journals used for downloads from Web of Science</p> <p>File 2: Cited Sources in Clusters<br> file name: Havemann2020clusters.pdf (third file in list)<br> content: Lists of cited sources in link clusters and graphs of these clusters</p> <p>File 3: Citing Journals of Clusters<br> file name: citing.journals.of.clusters.pdf (second file in list)<br> content: Rank lists of publication channels with regard to numbers of papers citing papers in clusters</p> <p>File 4: Rank Lists of Cited Sources in Seven Journals Outside Web of Science<br> file name: cited-sources-in-7-journals.zip (first file in list)<br> content: Seven ASCII files</p> <p> </p> <p>A preprint of the ISR paper by Risse, Wemheuer-Vogelaar, and Havemann was published with the title "Theory Makes Global IR Hang Together. Lessons from Citation Analysis" and is available at: <a href="https://refubium.fu-berlin.de/handle/fub188/2/browse?type=affiliation&value=Otto-Suhr-Institut+f%C3%BCr+Politikwissenschaft+%2F+Arbeitsstelle+Transnationale+Beziehungen%2C+Au%C3%9Fen-+und+Sicherheitspolitik">Refubium-OSI-IR-group</a></p>
Formation of α clusters in dilute neutron-rich matter
<p>The surface of neutron-rich heavy nuclei, with a neutron skin created by excess neutrons, provides an important terrestrial model system to study dilute neutron-rich matter. By employing quasi-free α-cluster-knockout reactions, we obtained direct experimental evidence for the formation of α clusters at the surface of neutron-rich tin isotopes. The observed monotonous decrease of the reaction cross sections with increasing mass number, in excellent agreement with the theoretical prediction, implies a tight interplay between α-cluster formation and the neutron skin. This result, in turn, calls for a revision of the correlation between the neutron-skin thickness and the density dependence of the symmetry energy, which is essential for understanding neutron stars. Our result also provides a natural explanation for the origin of α particles in α decay.</p>
Open Data for Role of Inter-Cluster and Inter-Ligand Dynamics of [Ag25(DMBT)18]– Nanoclusters by Multinuclear Magnetic Resonance Spectroscopy.
<p>Open Data for publication "Role of Inter-Cluster and Inter-Ligand Dynamics of [Ag<sub>25</sub>(DMBT)<sub>18</sub>]<sup>–</sup> Nanoclusters by Multinuclear Magnetic Resonance Spectroscopy" published in The Journal of Physical Chemistry.</p>
Input data of manuscript "CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells"
<p>This is the directory containing input data necessary to reproduce analyses presented in the manuscript:</p> <blockquote> <p><strong>CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells</strong><br> Shadi Darvish Shafighi, Szymon M Kiełbasa, Julieta Sepúlveda Yáñez, Ramin Monajemi, Davy Cats, Hailiang Mei, Roberta Menafra, Susan Kloet, Hendrik Veelken, Cornelis A.M. van Bergen, Ewa Szczurek</p> </blockquote>
Data from: Defaunation increases the spatial clustering of lowland Western Amazonian tree communities
1.Declines of large vertebrates in tropical forests may reduce dispersal of tree species that rely on them, and the resulting undispersed seedlings might suffer increased distance- and density- dependent mortality. Consequently, extirpation of large vertebrates may alter the composition and spatial structure of plant communities and impair ecosystem functions like carbon storage. 2.We analysed spatial patterns of tree recruitment within six forest plots along a defaunation gradient in western Amazonia. We divided recruits into two size cohorts ("saplings", ≥1 m tall and <1 cm diameter at breast height [dbh], and juveniles, 1 – 2 cm dbh) and examined the spatial organization of conspecific recruits within each cohort (within-cohort) and around conspecific reproductive-sized trees (between-cohort). We used replicated spatial point pattern analysis to quantify relationships between recruit clustering and cohort, defaunation intensity, each tree species' reliance on hunted dispersers and the interactions among these three covariates. 3.Within-cohort clustering of conspecific saplings increased with reliance of tree species on hunted dispersers and this trend strengthened significantly as defaunation increased, probably because of reduced dispersal. 4.Within-cohort clustering of conspecifics declined from saplings to juveniles, suggesting density-dependent mortality of saplings. However, the positive relationship between sapling clustering and defaunation did not lead to greater reductions in within-cohort clustering during the sapling-juvenile transition, suggesting that higher conspecific densities did not translate into increased mortality. Instead, the increased spatial clustering associated with defaunation was retained for juvenile recruits. 5.Between-cohort clustering was unrelated to defaunation and did not change during the sapling – juvenile transition. 6.Synthesis: Defaunation increased spatial aggregation of saplings of tree species reliant on hunted dispersers. The increase in sapling clustering did not increase density-dependent thinning, and persisted into older recruit cohorts, suggesting that hunting may initiate long-term spatial reorganisation of Amazonian tree communities. The lack of increased density-dependent thinning indicates that reduced dispersal did not increase mortality of large-vertebrate dispersed tree species that contribute disproportionately to forest biomass. We therefore caution against the fait accompli acceptance of the prediction by recent modelling studies that overhunting will precipitate a collapse in carbon sequestration by tropical forests.
Data from: Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimates
DNA metabarcoding is promising for cost-effective biodiversity monitoring, but reliable diversity estimates are difficult to achieve and validate. Here we present and validate a method, called LULU, for removing erroneous molecular operational taxonomic units (OTUs) from community data derived by high-throughput sequencing of amplified marker genes. LULU identifies errors by combining sequence similarity and co-occurrence patterns. To validate the LULU method, we use a unique data set of high quality survey data of vascular plants paired with plant ITS2 metabarcoding data of DNA extracted from soil from 130 sites in Denmark spanning major environmental gradients. OTU tables are produced with several different OTU definition algorithms and subsequently curated with LULU, and validated against field survey data. LULU curation consistently improves α-diversity estimates and other biodiversity metrics, and does not require a sequence reference database; thus, it represents a promising method for reliable biodiversity estimation.
ScienceDex guides
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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.