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2,326 results for “clusters”
Terc Gene Cluster Variants Predict Liver Telomere Length in Mice
<p>Files are organized by experiment (see publication for more info)</p> <p>Excel files contain raw data. </p> <p>SPSS (.sav) files contain organized raw data in format used for analysis.</p> <p>Word document contains SPSS analysis parameters and output syntax.</p>
Figure 6 from: Nelson G, Paul D, Riccardi G, Mast A (2012) Five task clusters that enable efficient and effective digitization of biological collections. ZooKeys 209: 19-45. https://doi.org/10.3897/zookeys.209.3135
Figure 6 - Dominant Digitization Workflows Observed.
Figure 13 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figure 13 - Temnothorax crasecundus sp. n. Lateral aspect of holotype.
Figure 17 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figure 17 - Temnothorax crassispinus (Karavajev). Dorsal aspect of a syntype.
Figures 1-8 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figures 1-8 - Explanation of morphometric characters.
Figure 12 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figure 12 - Temnothorax crasecundus sp. n. Head of holotype.
Figure 16 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figure 16 - Temnothorax crassispinus (Karavajev). Lateral aspect of a syntype.
Figure 15 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figure 15 - Temnothorax crassispinus (Karavajev). Head of a syntype.
Figure 14 from: Seifert B, Csösz S (2015) Temnothorax crasecundus sp. n. – a cryptic Eurocaucasian ant species (Hymenoptera, Formicidae) discovered by Nest Centroid Clustering. ZooKeys 479: 37-64. https://doi.org/10.3897/zookeys.479.8510
Figure 14 - Temnothorax crasecundus sp. n. Dorsal aspect of holotype.
Data for 'Fatty acid capped, metal oxo clusters as smallest conceivable nanocrystal prototypes'
<p>The <em>.pxp</em> documents contain the experimental data of the figures in the manuscript and they can be opened/edited with the software IGOR Pro 8.0 or higher.</p> <p>Figure 3: Experimental PDF of zirconium oxo clusters with different capping ligands. The C-C, Zr-O, and Zr-Zr distances are assigned. We make a distinction between the Zr-Zr distances within one Zr6 cluster and the Zr-Zr distances that are characteristic for the dimer</p> <p>Figure 4: PDF refinement of the Zr12-acetate cluster with various models, derived from the reported crystal structure. 4 The best fit is obtained when including the oxygen and carbon atoms from the acetate ligands. The refined parameters are given in Table S1</p> <p>Figure 5: PDF refinement for Zr12-butanoate and Zr12-octanoate using the Zr12-acetate structure model. PDF refinement of Zr6- methylbutanoate using the Zr6-acetate structure model. Finally, the PDF refinement of Zr12-oleate using the Zr12-propionate structure model, with or without background correction in reciprocal space. If applied in the refinement, the exponentially dampening sine wave is shown (orange dotted lines). The refined parameters are given in Table S3.</p> <p>Figure 6: FTIR spectra of Zr12-acetate, -propionate, -hexanoate, -oleate and Zr6-methylheptanoate. The weak band at 1750 cm-1 in the spectrum of Zr12-acetate is assigned to a small amount of acetic acid that is not involved in hydrogen bonding of any kind. 71<br> An ester impurity is ruled out because of the absence of any signal around 4 ppm in NMR, (see Figure S10).</p> <p>Figure 7: (A) NMR spectra in CDCl3 of Zr12-acetate, -propionate, -hexanoate, -oleate and Zr6-methylheptanoate. (B) DOSY of the Zr12-acetate cluster with one faster diffusing species and a set of three resonances pertaining to a slowly diffusing species (the cluster)</p> <p>Figure 8: ESI-HR-MS analysis of the dimeric Zr12-butanoate cluster and of the monomeric Zr6-methylbutanoate cluster. Both the ex- perimental and simulated spectra are shown.</p> <p>Figure 10: (A) PDF fit for Hf12-acetate, Hf6-methylbutanoate and Hf12-oleate clusters with exponentially dampening sine wave con- tribution. The refined parameters are indicated in Table S9. (B) FTIR spectra of the hafnium oxo clusters synthesized via bottom up.</p> <p>Figure 11: Catalytic esterification of oleic acid with ethanol, catalyzed by either Zr12-oleate (green) or ZrO2 nanoparticles (gray). In both cases, 10 mol% Zr, with respect to the carboxylic acid substrate, was added.</p>
k-evolution: a relativistic N-body code for clustering dark energy
<p>This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "k-evolution: a relativistic N-body code for clustering dark energy" (<a href="https://arxiv.org/abs/1910.01104">https://arxiv.org/abs/1910.01104</a>).</p> <p><br> This paper has also been published in JCAP which can be accessed at this link: <a href="https://iopscience.iop.org/article/10.1088/1475-7516/2019/12/011">https://iopscience.iop.org/article/10.1088/1475-7516/2019/12/011</a>.</p> <p>Directories</p> <ul> <li><strong>Analysis_notebooks_data</strong>: This directory includes the data and jupyter notebooks to reproduce the figures presented in the paper.</li> <li><strong>codes</strong>: This directory contains the data generated as part of the project.</li> <li><strong>supplementary</strong>: This directory contains the supplementary materials associated with the project.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the "<strong>Analysis_notebooks_data</strong>" directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the "<strong>codes</strong>" directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the "<strong>Analysis_notebooks_data</strong>" directory to access the simulation data.</li> </ol> <p><br> If you have any feedback or request feel free to email farbod.hassani@gmail.com</p>
Microscopy-based assessment of RNA polymerase II clusters during sperm precursor formation in fruit fly testes
<p>This repository contains the data and MatLab analysis scripts of the analysis of RNA polymerase II clusters over the course of differentiation into sperm precursor cells in fruit fly testes. Fruit flies were raised in Sylvia Erhardt's laboratory, samples prepared and microscopy images recorded by Agnieszka Pancholi, and images analysed by Lennart Hilbert.</p> <p>To analyse date data, the raw image data are first extracted into MatLab-native files using the <a href="https://zenodo.org/api/files/2f2192f4-a05c-4969-ba0a-4f235b837709/MultiPosition_extraction_nd2.m">MultiPosition_extraction_nd2.m</a> script. The actual analysis is then carried out using the <a href="https://zenodo.org/api/files/2f2192f4-a05c-4969-ba0a-4f235b837709/ClusterAnalysis.m">ClusterAnalysis.m</a> script. Example microscopy images were produced using the <a href="https://zenodo.org/api/files/2f2192f4-a05c-4969-ba0a-4f235b837709/ExampleImages.m">ExampleImages.m</a> script. The extracted data can be reviewed using the <a href="https://zenodo.org/api/files/2f2192f4-a05c-4969-ba0a-4f235b837709/ReviewExtractedStacks.m">ReviewExtractedStacks.m</a> script.</p>
Datasets used in Detecting Plumes in Mobile Air Quality Monitoring Time Series with Density-based Spatial Clustering of Applications with Noise v01
<p>This repository contains the following data sets related to Detecting Plumes in Mobile Air Quality Monitoring Time Series with DBSCAN published in . Please cite the following: .</p> <p>Validated_Data.csv: A .csv file containing the validation set used in the study. Column headings are the following:</p> <p>"Lat1": GPS latitude of car location in degrees.<br> "Long1": GPS longitude of car location in degrees.<br> "LST": Measurement time stamp. Time zone US/Central.<br> "BC": Black carbon measurements in ng/m^3<br> "CO2": Carbon dioxide measurements in ppm.<br> "UFP": Ultrafine particle count in particles/cc.<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb.<br> "Anomaly": What has been manually flagged as "Anomaly" (2) or "Normal" (1).<br> "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day.</p> <p>Labeled_DBSCAN_Anomalies.csv: A .csv file containing points labeled as anomalies by the DBSCAN algorithm described in the manuscript. Columns are the following.</p> <p>"BC": Black carbon measurement (ng/m^3)<br> "CO2": Carbon dioxide measurement (ppm)<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2 (ppb)<br> "UFP": Ultrafine particle count (p/cc)<br> "Anomaly": Whether the DBSCAN algorithm has labeled this point as "Anomaly" (2) or "Normal" (1)<br> "Uniq_Fac": Factor spanning from 1-277 grouping measurements taken on separate days by car. E.g. all measurements with Uniq_Fac=1 were grouped and analyzed together.<br> "LST": Timestamp (US/Central)<br> "Road_Class": TigerLINE census road class designation for the given point. Possible road classes are S1100 - Primary Road, S1200 - Secondary Road, S1400 - Local Road, S1630 - Ramps, S1640 - Service Drives, S1730 - Private Roads<br> "X": Universal Transverse Mercator Easting for Zone 15N (m).<br> "Y": Universal Transverse Mercator Northing for Zone 15N (m).</p> <p>*_To_Be_Validated.csv: A series of files where * denotes the following.</p> <p>"DB": DBSCAN Algorithm<br> "QOR": QOR Algorithm<br> "QAND": QAND Algorithm<br> "Drew": Drewnick Algorithm</p> <p>Each file contains the following columns:</p> <p>"Lat1": GPS latitude of car location in degrees.<br> "Long1": GPS longitude of car location in degrees.<br> "LST": Measurement time stamp. Time zone US/Central.<br> "BC": Black carbon measurements in ng/m^3<br> "CO2": Carbon dioxide measurements in ppm.<br> "UFP": Ultrafine particle count in particles/cc.<br> "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb.<br> "Anomaly": What has been flagged as "Anomaly" (2) or "Normal" (1).<br> "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day.</p>
Festem: Directly selecting differentially expressed genes for single-cell clustering analyses.
<p>Datasets related to article "Directly selecting differentially expressed genes for single-cell clustering analyses". Codes are available at <a href="http://github.com/XiDsLab/Festem_paper">https://github.com/XiDsLab/Festem_paper</a>.</p>
PHD Thesis: Graph Set Data Mining - Clustering and Pattern Mining in the Context of Cheminformatics - Evaluation Data
<p>Evaluation data for the PHD thesis:</p> <p>Graph Set Data Mining<br> Clustering and Pattern Mining in the Context of Cheminformatics</p> <p>zur Erlangung des Grades eines<br> Doktors der Naturwissenschaften<br> der Technischen Universität Dortmund<br> an der Fakultät für Informatik</p> <p>von</p> <p>TIll Schäfer</p>
Supplementary data for "Resource-efficient photonic quantum computation with high-dimensional cluster states"
<p>Supplementary data for the paper "Resource-efficient photonic quantum computation with high-dimensional cluster states" by Ohad Lib and Yaron Bromberg.</p>
Datasets and processed data for KMD Clustering
<p>Datasets and results of processing pipelines used in the paper KMD Clustering</p>
Data for the paper: "Folding a Cluster containing a Distributed File-System"
<p>Associated paper: https://hal.science/hal-04038000</p><p>The repository containing the analysis scripts is available <a href="https://archive.softwareheritage.org/swh:1:dir:7b37ae5308065c18081acae7fac97d5028492948;origin=https://gitlab.inria.fr/nixos-compose/hpc-io/articles/folding;visit=swh:1:snp:12def87049b0c7d551b704428f96b2dc9aa39ed7;anchor=swh:1:rev:320df486b8ff44eb95610bf591cbea30948399f0">here</a></p><ul><li><a href=" https://archive.softwareheritage.org/swh:1:dir:882f068849839146a5fd0eb0c56493b64aaa91ec;origin=https://gitlab.inria.fr/nixos-compose/hpc-io/nfs;visit=swh:1:snp:9ed7f3abdd6c00f8573a7fb9ab29fac0e2c1a38c;anchor=swh:1:rev:fd0a1c51b01a9533f870cee38d51f223d45eb0ac">NFS repo</a></li><li><a href="https://archive.softwareheritage.org/swh:1:dir:8f05ae8165fc653aeab06b96039aef7972f4bece;origin=https://gitlab.inria.fr/nixos-compose/hpc-io/orangefs;visit=swh:1:snp:6a5f80f4ab7ad9411833f91397d901dc84588ba8;anchor=swh:1:rev:9d5c43ad846036114c2edabe024ed1640b2011f7">OrangeFS repo</a></li></ul>
Microscopy and data files for May and Gaudet (2025), Surface delivery quantification reveals distinct trafficking efficiencies among clustered protocadherin isoforms
<h5>Microscopy files and additional data for May and Gaudet (2025), <em>Surface delivery quantification reveals distinct trafficking efficiencies among clustered protocadherin isoforms</em>. Code corresponding to this manuscript is available on <a href="https://github.com/emay2022/surface-trafficking">GitHub</a>.</h5>
Thromboelastography Guides a Multicentre Cluster Controlled Study of Plasma Exchange for Hepatitis B Associated Acute-on-chronic Liver Failure
ClinicalTrials.gov study NCT04747106. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.
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.