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2,326 results for “clusters”
DYNAMIC TZ Cluster RCT Dataset
<p>De-identified dataset from the DYNAMIC Tanzania cluster-randomized controlled trial evaluating the impact of the ePOCT+ package on antibiotic prescription (superiority analysis) and clinical failure (non-inferiority analysis) compared to usual care. Study conducted in the Mbeya and Morogoro regions of Tanzania between December 2021 to October 2022.</p>
MMT/Binospec Spectroscopic Survey of Two z~0.8 Galaxy Clusters: Galaxy Spectra Figures and FITS Data
<p>This dataset includes MMT/Binospec spectra of all 371 galaxies observed in 2019 and 2022, which were already discussed in the research paper (J. Di et al.) where you just got this dataset link. To quickly look at our spectra, we reduced our spectra in the JPG format. We also attached the raw FITS format 1D and 2D spectra of two years' observations.</p>
OpenAlex Author Name Disambiguation V3 Initial Clusters
<p>Author name disambiguation V3 initial clusters for the OpenAlex dataset. See <a href="https://openalex.org">https://openalex.org</a></p> <p>There are 633803287 rows, split into 4 CSV (comma-delimited) files (with headers).</p> <p>The CSV files have two columns: "work_author_id" and "author_id"</p> <p>"work_author_id": An OpenAlex Work ID and an author sequence number, joined with an underscore ("_")</p> <p>"author_id": An OpenAlex Author ID, representing a unique author in OpenAlex</p>
Appendix for the paper "Assessment of Aging and Rejuvenation for Resiliency in Heterogeneous Network Clusters"
<p><strong>Appendix for the paper "Alberto Avritzer, Andrea Janes, Andrea Marin, Andre van Hoorn, Matteo Camilli, Catia Trubiani, Daniel S. Menasché: Assessment of Aging and Rejuvenation for Resiliency in Heterogeneous Network Clusters"</strong></p> <p>This repository contains the complete set of charts for all core machines (in the paper, figures 3-8 contain only the results of one machine) and the collected data for each strategy.</p> <p><strong>Contents</strong></p> <p>The files contained in this appendix are:</p> <ul> <li>18 files of the format "experiment(strategy)(granularity).pdf, where "strategy" goes from -1 to 4 and granularity is one of i, dc, or dp (see table I in the paper).</li> <li>18 files of the format "output-(strategy)(granularity).csv, with the same format as the files above, containing the raw data.</li> </ul>
A Forward Modeling Approach To Analyzing Galaxy Clustering with SimBIG
<p>Data sets accompanying the publication: "A Forward Modeling Approach to Analyzing Galaxy Clustering" (https://arxiv.org/abs/2211.00723). </p> <ul> <li><a href="https://zenodo.org/api/files/136695d6-4319-4b74-9b7c-8a6b2f2df956/mcmc.v4.plk.cmass.npy">mcmc.v4.plk.cmass.npy</a> : MCMC samples drawn from the SimBIG posterior of the cosmological and HOD parameters given galaxy power spectrum multipoles to k_max = 0.5</li> <li><a href="https://zenodo.org/api/files/136695d6-4319-4b74-9b7c-8a6b2f2df956/mcmc.v4.plk.kmax0.25.cmass.npy">mcmc.v4.plk.kmax0.25.cmass.npy</a> : MCMC samples drawn from the SimBIG posterior of the cosmological and HOD parameters given galaxy power spectrum multipoles to k_max = 0.5</li> <li><a href="https://zenodo.org/api/files/136695d6-4319-4b74-9b7c-8a6b2f2df956/obs.cmass_sgc.k.dat">obs.cmass_sgc.</a>* : k, number density, and power spectrum measurements of galaxies in the BOSS CMASS-SGC sample. </li> <li><a href="https://zenodo.org/api/files/136695d6-4319-4b74-9b7c-8a6b2f2df956/simbig.cmass_sgc.v3.test.p2k.dat">simbig.cmass_sgc.v3.test</a>* : test data sets used to validate the accuracy of the SimBIG posteriors. The test data sets are described in detail in <a href="https://ui.adsabs.harvard.edu/abs/2023JCAP...04..010H/abstract">Hahn et al. (2023)</a></li> <li><a href="https://zenodo.org/api/files/136695d6-4319-4b74-9b7c-8a6b2f2df956/simbig.cmass_sgc.v4.k.dat">simbig.cmass_sgc.v4.</a>* : training data used to train the normalizing flows used to infer the posterior. </li> </ul>
HOW TO FORM A PRODUCER SERVICING ECOLOGY LEADING TO COMPETITIVE DIGITAL TRADE? -FROM INDUSTRIAL CLUSTER PERSPECTIVE
<p>Digital trade includes cross-border e-commerce focus on goods trade and digital service trade focus on service trade. Digital service trade refers to the service trade that can be delivered digitally or has the potential of digital delivery, including insurance services, financial services, intellectual property services, telecommunications, computer and information services, other business services and cultural and entertainment services (UNCTAD,2020), this study mainly examine the contribution of 28 manufacturing industries in China to the competitiveness of digital services trade in these six categories.</p> <p>Data are drawn from Ministry of Commerce, State Administration of Foreign Exchange, International Trade Center (ITC),China Statistical Yearbook, ILO Statistics, China Input-Output Table.</p>
Dataset - Characterization of groups of informal carers. A cluster analysis.
<pre>This is the dataset for the "Characterization of groups of informal caregivers. A cluster analysis using the example of Saxony."</pre>
Revisit of 77 Clusters Candidates with Multiple Main Sequences using Gaia DR3
<p>The data of 77 clusters with eMSTO.</p>
Data for Non-Redundant Image Clustering of Early Medieval Glass Beads (DSAA 2023)
<p>Archeological glass beads images with measurements (width, height, weight), pretrained models, resampled data (with less color bias) and clustering results from the paper Non-Redundant Image Clustering of Early Medieval Glass Beads (Accepted at DSAA 2023)</p>
CARDIOMYOCYTE RYANODINE RECEPTOR CLUSTERS EXPAND AND COALESCE AFTER APPLICATION OF ISOPROTERENOL
<p>This is data that was used to generate the figures and tables for the Journal of General Physiology paper<br> CARDIOMYOCYTE RYANODINE RECEPTOR CLUSTERS EXPAND AND COALESCE AFTER APPLICATION OF ISOPROTERENOL</p> <p>The data is in two parts: i) Blink data that records the positions of blinks collected from fluorescently labelled ryanodine receptors on the surface of rat ventricular myocytes. ii) Cluster data that records parameters from each of the clusters created by the blink data. </p> <p>The blink data was used to generate Figs. 1 to 4, S3 to S5, while cluster data was used to generate the tables<br> and Figs. 5 to 9. More detailed explanations of the data are in the files blinkinfo.html and clustinfo.html in their respective<br> directories.</p>
CAKE: clustering scRNA-seq data via combining contrastive learning with knowledge distillation
<p>All datasets used in our paper "<strong>CAKE: clustering scRNA-seq data via combining contrastive learning with knowledge distillation"</strong></p>
The data of "A comparison of citation-based clustering and topic modeling for science mapping"
<p>These files consist of the data used in "A comparison of citation-based clustering and topic modeling for science mapping". </p> <p> </p>
Data: Parameter regionalization with donor catchment clustering improves urban flood modeling in ungauged urban catchments
<p>Data: Parameter regionalization with donor catchment clustering improves urban flood modeling in ungauged urban catchments for wrr</p> <p>Chen Hu, Jun Xia, Dunxian She</p> <p>!===<br> This dataset provides flood information for the paper submitted to wrr "Parameter regionalization with donor catchment clustering improves urban flood modeling in ungauged urban catchments",2023WR035071<br> </p>
Ages and metallicities of stellar clusters using S-PLUS narrow-band integrated photometry: the Small Magellanic Cloud
<p>These are the final photometric quantities measured in the work "Ages and metallicities of stellar clusters using S-PLUS narrow-band integrated photometry: the Small Magellanic Cloud". The raw S-PLUS images are available upon request to the corresponding author. Nevertheless, the complete S-PLUS data will become publicly available alongside the next data release, scheduled for 2023.</p>
A catalogue of Galactic GEMS: Globular cluster Extra-tidal Mock Stars
<p>The Globular cluster Extra-tidal Mock Star (GEMS) catalogue contains data for simulated extra-tidal stars and binaries created via three-body dynamical encounters in globular cluster cores. Using the particle-spray code Corespray (presented in Grondin et al. 2023a), we provide data for extra-tidal single stars and escaped recoil binaries for 159 globular clusters in the Milky Way. Sky positions, kinematics, stellar properties and escape information are provided for all simulated stars. This online catalogue is associated with Grondin et al. (2023b), which has been submitted to MNRAS and is available on arXiv. A README.txt file contains information on how to access the catalogue and describes the parameters within. If you use the GEMS catalogue, please cite Grondin et al. (2023b).</p>
How to Compute Atomistic Insight in DFT clusters: the REG-IQA Approach
<p>Dataset for the paper "How to Compute Atomistic Insight in DFT clusters: the REG-IQA Approach" published to<i> Journal of Chemical Information and Modelling</i>.</p><p>The Dataset contains all the AIMAll calculations for each step of the intrinsic reaction coordinate of the HIV Protease hydrolysis described in the main manuscript and .xlsx files for all the REG-IQA results of the analyses pursued.</p>
FT-IR data set for hierarchical cluster-based deep learning
<p>FT-IR of raw materials described in Kristoffersen et al. (2019) doi:<a href="https://doi.org/10.1016/j.talanta.2019.06.084">10.1016/j.talanta.2019.06.084</a>. Predicts average molecular weight after hydrolysis. The data is pre-processed using Savitzky-Golay 2nd derivative smoothing (with window width 11 pt and 3rd order polynomial smoothing) followed by extended multiplicative signal correction (EMSC). </p>
A5 artifact cluster.
2015 photogrammetry model of artifact cluster around Anchor #5 at Utrecht shipwreck site (1648), Salvador, Brazil. Scale bars used for 1:1 scalling + xyz coordinates derived from previously established local network based on trilateration techniques. For more info see: http://www.observabaia.ufba.br/pesquisas-e-producao/patrimonio-cultural-subaquatico/ Source: Objaverse 1.0 / Sketchfab
1982 Sculpture - Cluster of Cyrillic Letters
The following model represents a 1982 sculpture by the renown bulgarian artist G. Malakchiev called "To the Letters" / "На Буквите". It is situated in a public park near the National Palace of Culture in Sofia, Bulgaria. Source: Objaverse 1.0 / Sketchfab
MUS18TD Pit Cluster
Testpit grid with Bronze Age Pit Cluster revealed. Excavated by The Birkbeck Training Excavation at Must Farm Quarry 2018 Source: Objaverse 1.0 / Sketchfab
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.