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2,326 results for “clusters”
Fig. 4 in NC-Clustering demonstrates heterospecificity of the cryptic ant species Temnothorax luteus (FOREL, 1874) and T. racovitzai (BONDROIT, 1918) (Hymenoptera: Formicidae)
Fig. 4: Temnothorax luteus (FOREL, 1874) in lateral view; shown is the type of the junior synonym Temnothorax
Fig. 3 in NC-Clustering demonstrates heterospecificity of the cryptic ant species Temnothorax luteus (FOREL, 1874) and T. racovitzai (BONDROIT, 1918) (Hymenoptera: Formicidae)
Fig. 3: Head of Temnothorax luteus (FOREL, Fig. 5: Head of lectotype of Temnothorax racovitzai (BONDROIT, 1918).
Fig. 1 in NC-Clustering demonstrates heterospecificity of the cryptic ant species Temnothorax luteus (FOREL, 1874) and T. racovitzai (BONDROIT, 1918) (Hymenoptera: Formicidae)
Fig. 1: NC-Ward clustering of 64 worker nest samples of Temnothorax luteus (FOREL, 1874) and T. racovitzai (BONDROIT, 1918) considering 18 unselected morphometric characters. Arrows point to three nest samples of T. luteus erroneously placed in the T. racovitzai cluster.
Fig. 2 in NC-Clustering demonstrates heterospecificity of the cryptic ant species Temnothorax luteus (FOREL, 1874) and T. racovitzai (BONDROIT, 1918) (Hymenoptera: Formicidae)
Fig. 2: NC-Ward clustering of 64 worker nest samples of Temnothorax luteus (FOREL, 1874) and T. racovitzai (BONDROIT, 1918) considering 7 selected morphometric characters.
The young massive SMC cluster NGC 330 seen by MUSE. III. Stellar parameters and rotational velocities - diagnostic plots
<p>This Zenodo repository hosts additional diagnostic plots for the article "<em>The young massive SMC cluster NGC 330 seen by MUSE. III. Stellar parameters and rotational velocities</em>" by Bodensteiner et al. 2023. It provides three diagnostic figures for each of the 282 stars in the sample described in the paper. Three example figures are given for one star (#654) in the Figures 2, 3, and 4 in the paper.</p> <p>Here, we provide a .zip archive with three additional figures for all other stars that are similar to the ones in the paper:</p> <ol> <li>the <strong>spectroscopic fit</strong> ("<em>id###_spec.pdf</em>"): Each panel, one for each of the six diagnostic spectral regions, shows the combined spectrum (black) and the best-fitting tlusty model (red). Grayed-out regions are only shown for comparison but were not included in the fit, which may vary from star to star.</li> <li>the <strong>photometric fit</strong> ("<em>id###_phot.pdf</em>"): The top panel shows a comparison between the observed HST fluxes (black crosses) and the flux (colored circles) computed from the best-fit model (gray line) by convolution with the HST filters (colored lines). The bottom panel gives residuals.</li> <li>the <strong>combined fit results</strong> ("<em>correlationplot_comb_id###.pdf</em>"): The diagonal gives the χ2-distribution as a function of each parameter and the panels below show 2-dimensional χ2 -maps. The red line marks the 95% confidence level.</li> </ol> <p>The star ids (###) correspond to the ones provided in Table 1 (also available at the CDS).</p>
Coupled cluster cavity Born-Oppenheimer approximation for electronic strong coupling
<p>File to recreate the findings in: Coupled cluster cavity Born-Oppenheimer approximation for electronic strong coupling</p>
Supplementary data as part of the article "Mechanism of Benzene Hydroxylation on Tri-Iron Oxo-Centered Cluster-Based Metal-Organic Frameworks" (https://doi.org/10.1021/acs.jpcc.3c06423)
<p>Cartesian coordinates in the *.XYZ format for all the structures optimized at the M06-L/def2-TZVP in the reactivity study as part of the article "Mechanism of Benzene Hydroxylation on Tri-Iron Oxo-Centered 2 Cluster-Based Metal-Organic Frameworks" (https://doi.org/10.1021/acs.jpcc.3c06423)</p>
The 2023 Afghanistan earthquake cluster
<p>The four tar files are the interferograms for the 2023 Afghanistan earthquake sequence. In each tar file, there include a phase file, incidence angle file, azimuth angle file, and their parameter information. </p><p>Reference</p><p>He, P. Wen, Y.M., Zhong, Y.L., Cai, J.F. (2023). Isolated sources of the devastating 2023 Mw>6 Herat, Afghanistan earthquake swarm estimated by InSAR: tectonic implications and possible triggering mechanism</p>
Post-processed datasets for scRNA-seq clustering analysis in PPML-Omics
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The Significance of Emotional Facial Expression in Understanding Tears: Threat, Sincerity, and Cluster A Personality
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Gaussian synthetic cluster datasets
<p>A collection of 20 structurally diverse synthetic datasets that consist of randomly generated gaussian distributions varying in number of objects (5000 or 10000), number of features (20,40,50,60), number of clusters (3,8,15,20), cluster sizes, cluster standard deviations, cluster overlap, and cluster anisotropy. Can be used to test clustering methods.</p>
Clustering-independent estimation of cell abundances in bulk tissues using single-cell RNA-seq data
<p>ConDecon is a clustering-independent method for inferring the likelihood for each cell in a single-cell dataset to be present in a bulk tissue. This repository contains the raw data of the benchmarking analyses presented in the original publication using the pipeline of Avila-Cobos et al. (10.1038/s41467-020-19015-1). We used this pipeline to evaluate the ability of ConDecon and 17 other deconvolution methods to infer discrete cell type abundances in bulk tissues. The compressed file in this repository contains the synthetic bulk data, ground truth cell type proportions, and the predicted cell type proportions for each method and dataset associated with these analyses. Additional details can be found in the Methods section of the ConDecon publication.</p>
Hartree potentials and geometries of relaxed on-surface ice clusters in "Structure discovery in Atomic Force Microscopy imaging of ice"
<p>Hartree potentials and geometries of on-surface DFT-relaxed ice clusters used in the paper "Structure discovery in Atomic Force Microscopy imaging of ice".</p><p>The data are saved in a compressed .tar.gz archive. The unpacked archive contains the data for each ice cluster in the .xsf format. The density functional theory (DFT) calculations were done using the Vienna Ab-initio Simulation Package with the optB86b-vdW density functional.</p>
Supplementary data (CC BY-NC-SA 4.0): Migration of Zeolite-Encapsulated Subnanometre Platinum Clusters via Reactive Neural Network Potentials
<p><strong>Content (Creative Commons Attribution Non Commercial Share Alike 4.0 International):</strong></p> <ul> <li>Trajectory files containing structures, energies and forces of CHA, MWW (including MWW*), TON, MFI (Pt1, Pt3, Pt5 at 750, 1000, 1250 K) as (extended) xyz files readable by the <a href="https://wiki.fysik.dtu.dk/ase/index.html">Atomic Simulation Environment </a>(ASE)</li> <li>Animated gif files of Pt1 migration between double-six rings in CHA, Pt3 jump through an eight-ring in CHA, and insertion of Pt1 into a t-pen unit in MFI</li> <li>Neural Network Potential (NNP) files readable by <a href="https://github.com/atomistic-machine-learning/schnetpack/tree/schnetpack1.0">SchNetPack version 1.0</a></li> </ul>
Autoconfig: Balanced Minimum sum-of-squares clustering case
<p>Autoconfig: Balanced Minimum Sum-of-Squares Clustering</p> <p>See https://github.com/rmartinsanta/ac-BMSSC for full details.</p> <p> </p> <p>Authors of the original paper: <br>Alberto (Herrán González)<br>José Manuel (Colmenar Verdugo)<br>Abraham (Duarte Muñoz)</p>
Time-bin entanglement in the deterministic generation of linear photonic cluster states
<p>We investigate strategies for the efficient deterministic creation of trains of time-bin entangled photons using an individual quantum emitter described by a $\Lambda$-type electronic system. We explicitly demonstrate generation of high-quality linear cluster states of substantial length in our full microscopic numerical simulations. The underlying scheme is based on the manipulation of ground state coherences through precise optical driving. One important finding is that the most easily accessible quality metrics, the achievable rotation fidelities, fall short in assessing the actual quantum correlations of the emitted photons in the face of losses. To address this, we explicitly calculate stabilizer generator expectation values as a superior gauge for the quantum properties of the many-photon state. Our results illustrate that with controlled minimization of losses and realistic system parameters for quantum-dot type systems, useful linear cluster states of significant lengths can be generated, showcasing promise of scalability for quantum information processing endeavors.</p>
Dataset for: "Phase Coexistence of Mn Trimer Clusters and Antiferromagnetic Mn Islands on Ir(111)"
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Data for "Visual Analytics for Enhancing Quality and trust in Genome-Wide Expression Clustering and Annotation"
<p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bb993a532f92298639b70bf7f2cd758d/raw/e2def8df7c20551e16f296c7c303308e5418c5e9/index.html">RasteredHPA23v06BloodReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bb993a532f92298639b70bf7f2cd758d/raw/e2def8df7c20551e16f296c7c303308e5418c5e9/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/087802569e028f96648dd5387bf4aba7/raw/4c9d65f96127ff9620509cbcf2b8d01435455705/index.html">RasteredHPA23v06brainReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/087802569e028f96648dd5387bf4aba7/raw/4c9d65f96127ff9620509cbcf2b8d01435455705/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bf5d7b90428a514bbdbe7e138863d04c/raw/6cb942e57d7a703e6cf78027813aa65e340b7c78/index.html">RasteredHPA23v06CellineReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bf5d7b90428a514bbdbe7e138863d04c/raw/6cb942e57d7a703e6cf78027813aa65e340b7c78/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/44315c0313299e9a8fe5d3ba3dac49fa/raw/200be056379260764b5c94064f38e7b8f33fbcc5/index.html">RasteredHPA23v06SinglecellReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/44315c0313299e9a8fe5d3ba3dac49fa/raw/200be056379260764b5c94064f38e7b8f33fbcc5/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/d6ce47837daf019acc5e22baef379b79/raw/88600436126299a6a56984b3671f1e98630e6c19/index.html">RasteredHPA23v06TissueReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/d6ce47837daf019acc5e22baef379b79/raw/88600436126299a6a56984b3671f1e98630e6c19/index.html)</a></p> <p>goto gist then check revision for report datestamps</p>
Transitory tidal heating events and their impact on cluster isochrones
<p>MESA inlists and run_star_extras.f90 for simulating transitory tidal heating events (Arthur et al., 2024). Uses MESA version r15140 and MESA SDK version x86_64-linux-20.12.1.</p> <p>inlist_start: evolve a low-mass star to ZAMS</p> <p>inlist_after_zams: evolve a low-mass star from ZAMS to 3.95 giga years (age of M67 cluster)</p> <p>inlist_near_tams: add heating to the stellar envelope using heating rates from TIDESnnv models</p> <p>history_columns.list</p> <p>profile_columns.list</p> <p>run_star_extras.f90: envelope heating routine interpolating TIDESnnv models.</p> <p>Inlists and run_star_extras.f90 were adapted from MIST resources (Choi et al., 2016; Dotter et al 2016) and use tailored convection parameters described in these works. Available from <a href="https://waps.cfa.harvard.edu/MIST">https://waps.cfa.harvard.edu/MIST</a></p> <p><br>Heating rates come from tailored <a href="../doi/10.5281/zenodo.10799021">TIDESnnv</a> (Tidal Interactions with Dissipation of Energy due to Shear version nvv) models.</p>
FIGURE 53. Bayesian clustering for K in A taxonomic revision of the Palaearctic species of the ant genus Tapinoma Mayr 1861 (Hymenoptera: Formicidae)
FIGURE 53. Bayesian clustering for K=2 of 15 microsatellite loci of Tapinoma madeirense (orange) and T. subboreale (blue) in southern France with hybridization in a 100 km wide zone along the Rhone river from about Nîmes to Montélimar.
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.