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2,326 results for “clusters”
Observational Bias and Young Massive Cluster Characterisation II. Can Gaia accurately observe young clusters and associations?
<p>Field-of-View for synthetic Gaia observations of clusters Orion-type-3, Orion-type-5.5 and Wd2-type presented in Buckner et al. (2023).</p><p>Files contain both simulation and field stars along the Line-of-Sight (l = 270^o, b = 0^o) for the clusters when placed at 500pc, 2500pc and 4300pc distances.</p><p>The original simulation files are included for reference.</p><p>Included README files provide more detailed descriptions of the files.</p>
Interactions of netrin-1 through its glycosylation sites immobilize DCC receptors by favoring its constitutive clustering
Open the record for dataset details and reuse information.
Precipitation-temporal-clustering-and-Italian-landslides
<p>This repository contains results about the spatial and temporal distribution of temporal clustering of precipitation and analysis of landslides triggers based on movement types over Italy.</p>
Supplementary material for "Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences"
<p>This material supplements the following conference publication:</p> <p>Winkler, Rosenthal, Strecker (2024). "Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences". Modellierung 2024.</p>
Supplemental Movie 2: Clustered Ca2+ transients (CTCs) in gastric ICC-MY occur from multiple firing sites.
<p><strong><span>Supplemental Movie 2: Clustered Ca<sup>2+</sup> transients (CTCs) in gastric </span><span>ICC-MY occur from multiple firing sites</span></strong><span>.<span> </span>ICC-MY in the gastric antrum firing of CTCs and imaged at high resolution with a spinning disk confocal microscope using a 60x objective. </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>signals were monitored in a gastric muscle from a mouse with the genetically encoded </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>indicator, GCaMP6f, expressed exclusively in ICC. The left panel shows typical stellate-shaped ICC-MY with multiple interconnecting processes. The middle panel shows the </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>particle (PTCL) activity, color coded in blue for raw PTCLs, and the centroids of particles are indicated in purple and green indicates </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>firing sites. There are multiple sites firing </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>transients during the CTCs.<span> </span>The right panel shows an occurrence map of color-coded initiation/firing sites. The pattern of firing sites </span><span>Ca</span><sup><span>2+</span></sup><span><span> </span></span><span>activity was temporally clustered as activation of </span><span>Ca</span><sup><span>2+</span></sup><span><span> transients </span></span><span>swept through the network of ICC-MY.<span> </span>The onset of the CTCs was explosive, and then asynchronous firing of occurred at multiple sites and was sustained for more than 2 sec.<span> </span>Note also the complete quiescence of firing immediately upon conclusion of a CTC (absolute refractory period) and then sporadic initiation of firing with time.<span> </span>It is the re-initiation of firing that sets off the next CTC by activating ANO1 channels, depolarization and activation of voltage-dependent Ca<sup>2+</sup> current (see text for details).<span> </span>Reformatted with permission from reference </span><span><span>(106)</span></span><span>.<span> </span></span></p>
Temporal cluster-based organisation of sleep spindles underlies motor memory consolidation
<p><span>Sleep benefits motor memory consolidation, which is mediated by sleep spindle activity and associated memory reactivations during non-rapid eye movement (NREM) sleep. However, the particular role of NREM2 and NREM3 sleep spindles and the mechanisms triggering this memory consolidation process remai<span>n unclear. Here, sim</span>ultaneous electroencephalographic and functional magnetic resonance imaging (EEG-fMRI) recordings were collected during night-time sleep following the learning of a motor sequence task. Adopting a time-based clustering approach, we provide evidence that spindles iteratively occur within clustered and temporally organised patterns during both NREM2 and NREM3 sleep. However, the clustering of spindles in trains is related to motor memory consolidation during NREM2 sleep only</span><span>. Altogether</span><span>,</span><span> our findings suggest t</span><span>hat</span><span> spindles' clustering and </span><span>rhythmic occurrence </span><span>during NREM2 sleep may serve as an intrinsic rhythmic sleep mechanism for the timed reactivation and subsequent consolidation of motor memories, through synchronised oscillatory activity within a subcortical-cortical network involved during learning</span>.</p>
List of business and system roles of Northern Cluster in OneNet project
<p>The list of roles includes in CSV format the names and definitions of business roles and system roles referred to in the use cases of OneNet Northern cluster. The Harmonised Electricity Market Role Model (HEMRM) defines many of the roles used. However, if not existing in HEMRM, use cases provide their own definitions, sometimes relying on the ones proposed by BRIDGE Initiative.</p> <p>The context of usage of the roles in business use cases and system use cases can be found here: <a href="https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf">https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf"> https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf">https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf</a></p> <p> The explanation of HEMRM can be found here: <a href="https://mwgstorage1.blob.core.windows.net/public/Ebix/Harmonised_Role_Model_2023-01.pdf">https://mwgstorage1.blob.core.windows.net/public/Ebix/Harmonised_Role_Model_2023-01.pdf</a></p> <p> The explanation of additions to HEMRM as proposed by BRIDGE Initiative: <a href="https://energy.ec.europa.eu/system/files/2021-06/bridge_wg_regulation_eu_bridge_hemrm_report_2020-2021_0.pdf">https://energy.ec.europa.eu/system/files/2021-06/bridge_wg_regulation_eu_bridge_hemrm_report_2020-2021_0.pdf</a></p>
Candidate cluster-scale gravitationally lensed quasars from CluMPR and DESI Legacy Survey
<p>Candidate cluster-scale strongly-lensed quasars from DESI Legacy Survey (DESI QSO targets) and CluMPR DESI Legacy Survey galaxy cluster catalog. </p> <p>Paper decribing the CluMPR galaxy cluster catalogs and candidate lensed quasar catalogs: The CluMPR Galaxy Cluster-Finding Algorithm and DESI Legacy Survey Galaxy Cluster catalogue (M. J. Yantovski-Barth et al.)</p> <p>Description: </p> <p>To search for lensed quasars, we use two Einstein radii: one corresponds to wide angle lensing by the entire cluster (𝑀 = 10^15 𝑀⊙ ), and the other corresponds to lensing by the core of the cluster (𝑀 = 0.25 ∗ 10^15 𝑀⊙ ).</p> <p>We use the colors in bands g-r, g-z, and r-W1 to evaluate candidate lensed quasars. If at least two quasars are within 1 magnitude of each other in all 3 colors, we rate the candidate at Grade C. If at least three quasars are within 1 magnitude of each other in all 3 colors, we rate the the candidate at Grade B. If either 4 quasars or two combinations of 3 quasars are within 1 magnitude of each other in all 3 colors, we rate the candidate as Grade A.</p>
Dynamical Parameters and Clustering Results for Four-hundred Very Metal-Poor Stars Studied with LAMOST and Subaru
<p>This is the data associated with the paper "Four-hundred Very Metal-Poor Stars Studied with LAMOST and Subaru. III. Dynamically Tagged Groups and Chemodynamical Properties" by Zhang, Matsuno, Li et al. 2024. Table "LSVMP_HRdata_dynamics.csv" contains the dynamical parameters and clustering results of the HR sample in this paper. File "readme.txt" describes the meaning of each column in the table and the notes for the flag of stars. </p> <p>This sample is obtained by the LAMOST/Subaru joint project. See our paper I (DOI: 10.3847/1538-4357/ac6515) for detailed descriptions of target selection and observations, paper II (DOI: 10.3847/1538-4357/ac6514) for the chemical abundance analysis, and paper III (DOI: 10.3847/1538-4357/ad31a6) for clustering and chemodynamical analysis.</p> <p>If you have any questions about this data, please contact lhn@nao.cas.cn or rz.richie.zhang@gmail.com for more information.</p>
List of information objects of Northern Cluster in OneNet project
<p>List of information objects includes in CSV format the names and descriptions of role-to-role data exchanges referred to in the use cases of OneNet Northern cluster.</p> <p>The context of usage of the information objects in business use case and system use cases can be found here: <a href="https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf">https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf"> https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf">https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf</a></p>
THE NATURE OF X-RAYS FROM YOUNG STELLAR OBJECTS IN THE ORION NEBULA CLUSTER - A Chandra HETGS Legacy Project
<p><span>This first release provides the community with a first cut of confusion cleaned X-ray spectra of the Orion Nebula Cluster observed with the HETG onboard the Chandra X-ray Observatory. The data were taken starting in 1999 until 2021. <br><br>The confusion cleaning is based on several aspects of sources for confusion, which includes cluster point sources intersecting with grating dispersions, grating arms intersecting each other in CCD space, as well as grating dispersion overlaps prohibiting proper order sorting. The latter is a major effect and resulted in sometimes severe data losses. In the first release, our automated procedure took care of the vast majority of point sources and grating arm intersections. With respect to the dispersion arm overlaps, in this release we took a statistical approach optimizing the agreement of all four grating dispersion arms in the merged data to agree within a 1 sigma statistical uncertainty over 90% of the bandpass between 2 and 15 Angstrom. For that we used the zero order flux fractions of the interfering sources as the driving parameter. <br><br>There are still many caveats and rooms for improvement, which we will address in upcoming releases, which include the treatment of the increasing background at high dispersion, improve extraction efficiency, exclude observations with non-detections before confusion cleaning, include possible new detections, investigate the 5 A excess we observe in the HEG, though at low statistics, spotcheck individual observations for any residual issues. <br><br>Release 1 provides the community with an excellent starting point for addressing our identified science projects. Out of the 46 sources that were extracted, 37 resulted in valid spectral data. 7 sources have less than 1000 counts in 1st order, some of those may not yet be very useful. <br></span></p> <p> </p> <p>Each directory contains the merged cleaned spectrum and responses for<br>one source. The file "pha2" is a Type II PHA file (multiple spectra)<br>containing the four first order spectra, HEG -1, HEG +1, MEG -1, and<br>MEG +1. Headers have been edited indicate the object (OBJECT), and<br>start and stop times for the set of observations. Since the exposure<br>depends on order, due to the cleaning process, EXPOSURE is a column in<br>the data table. Some other keywords now say "MERGED" since they can<br>vary with observation.</p> <p>There is one effective area file per order (".arf" files). These have<br>also been merged by zeroing out the same regions as excluded in the<br>count spectra, and summed weighting by exposure. They also have<br>similar header edits as for the spectra.</p> <p>While the exposures in headers may say 2 Ms, the actual exposure at<br>any wavelength may be much less. This is not explicitly known, but is<br>implicit in the ignored wavelength regions in the merged counts and<br>responses.</p> <p>There is one grating response matrix (".rmf" files) per order. Since<br>all spectral extractions of all sources used the same cross-dispersion<br>region, there is no change in these files between sources. One set<br>suffices for all extractions. These are in the directory "RMFs", and<br>also for convenience have symbolic links in each source directory.</p> <p>HETG background files have also been provided, one PHA file per first<br>order, in directory HETG_Background. These have been derived from<br>long observations of blank fields. Details are provided in the<br>accompanying memo, hetg_background.pdf.</p> <p>Headers have not been designed for auto-loading of responses (that is<br>CORRFILE, RESPFILE, and BACKFILE are set to 'none').</p>
Figure 9 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 9. Model of masticatory motion of icriodontid I elements. A, oblique lateral view; B, 'anterior' view.
Figure 8 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 8. Motion of P1 elements of ozarkodinid apparatuses summarized from the literature. A, Idiognathodus (Pennsylvanian); B, Novispathodus (Early Triassic); C, Wurmiella excavata (Silurian); D, Pseudofurnishius murcianus (Middle–Late Triassic); E, Polygnathus xylus xylus (Middle Devonian). Grey dots mark the pivot point; black arrows indicate the direction of occlusion and interlocking of P1 elements, grey arrows its reversal.
Figure 7. Hypothetical apparatus reconstruction deduced from the element arrangement within the Caudicriodus woschmidti conodont cluster. A, Model 1 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 7. Hypothetical apparatus reconstruction deduced from the element arrangement within the Caudicriodus woschmidti conodont cluster. A, Model 1 with tips of coniform elements pointing dorsally and 'posterior' part of icriodontan elements oriented ventrally. B, Model 2 with tips of coniform elements and 'posterior' part of icriodontan elements oriented ventrally. C, Model 3 with tips of coniform elements pointing ventrally and 'posterior' part of icriodontan elements oriented dorsally. D, Model 4 with tips of coniform elements and 'posterior' part of icriodontan elements oriented ventrally. Coniform elements are arranged in multiple rows.
Figure 5 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 5. Denticle tip wear of icriodontid I elements. A–C, Icriodus aff. michiganus, dextral I element, lateral and oral view; Middle Devonian, Eifel, Germany; sample BL-12-29c-9. D–F, Icriodus sp., dextral I element, lateral and oral view; Middle Devonian, Eifel, Germany; sample BL-12-29c-3. Extent and orientation of tip wear are indicated by dotted lines and arrowheads.
Figure 6 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 6. Diagrams illustrating orientation and direction of denticle tip wear. A, Icriodus aff. michiganus; left-side illustration shows the orientation of the inclined facet plane, right-side illustration the direction of vertically inclined facet; Middle Devonian, Eifel, Germany; sample BL-12-29c-9. B, Icriodus sp. left-side illustration shows the orientation of the inclined facet plane, middle the direction of the vertically inclined facet, and right the orientation and direction of the facet plane of median row denticles; Middle Devonian, Eifel, Germany; sample BL-12-29c-3).
Figure 4. A in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 4. A, denticle tip wear of the dextral I element of Caudicriodus woschmidti; Early Devonian, southern Burgenland, Austria; Ki/ 4/2a-1, NHMW 2011/0374/0001. B, detailed view of oral surface of the dextral I element with extent and orientation of tip wear indicated by dotted line and arrow head.
Figure 3 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 3. Chronological listing of notation history for icriodontid apparatus elements. Morphologically similar coniform element types and the icriodontan element evaluated for this study are highlighted in different colours or shades.
Figure 2 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 2. Conodont cluster of Caudicriodus woschmidti, Early Devonian, southern Burgenland, Austria; Ki/4/2a-1, NHMW 2011/0374/ 0001. A, SEM scan of the conodont cluster. B, detailed view of the coniform elements (C1–C5) close to the dextral I element. C, D, computer microtomography-based three-dimensional reconstruction with identification of all elements. E, hypothetical arrangement of all elements preserved within the fused conodont cluster.
Figure 1 in A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae
Figure 1. Locality map and section log from the 'Kottwitz' quarry (southern Burgenland, Austria), where the Caudicriodus woschmidti conodont cluster was found.
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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.