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4,563 results for “correlations”
Distributing quantum correlations through local operations and classical resources
<p>Text files containing data of the figures shown in "Distributing quantum correlations through local operations and classical resources". Where some variables do not affect the plot value, for instance the values of φ in Figures 4a and 4b, fewer plot points of these variables are used in the final heatmaps to allow more detail in the other variables which do affect the function values. https://arxiv.org/abs/2408.05490. </p>
OpenData for the Independent morphological variables correlate to aging, Mild Cognitive Impairment, and Alzheimer's Disease manuscript
<p>Results from processed structural MRI images from the <a href="https://www.sciencedirect.com/science/article/pii/S1053811920306868">AHEAD</a> and <a href="https://www.nature.com/articles/s41597-021-00870-6">AOMIC</a> dataset included in the Supplementary Information at the Independent morphological variables correlate to aging, Mild Cognitive Impairment, and Alzheimer's Disease manuscript from de Moraes et al. submitted to PNAS.</p> <p>For this data, we processed the datasets with <a href="https://surfer.nmr.mgh.harvard.edu/">FreeSurfer</a> v6.0.0 standard processing pipeline (<em>recon-all</em>) and the estimation of the <a href="https://surfer.nmr.mgh.harvard.edu/fswiki/LGI">local Gyrification Index</a> from <a href="http://ltswww.epfl.ch/~schaer/Schaer_TMI.pdf">Schaer, M. et al. 2008</a>. We further extracted the morphological measurements from the generated surfaces using the Cortical Folding Analysis Tools from <a href="https://zenodo.org/record/3608675">Wang et al. 2019</a>. Here, we included the raw morphological datasets joined with the demographics and subjects' information.</p>
Correlation of urban avian species diversity present in heterogenous habitat types of the Silk city, Odisha, Eastern India
<p>This is the complete metadata and the R code required to do the analysis of the paper regarding birds of Berhampur city.</p>
Dataset accompanying manuscript "Correlative imaging of spatio-angular dynamics of biological systems with multimodal instant polarization microscope"
<p>Raw images and microscope calibration metadata for reconstruction of datasets presented in Fig. 1 and Fig. 3 of "Correlative imaging of spatio-angular dynamics of biological systems with multimodal instant polarization microscope". Notebooks demonstrating steps in the label-free and fluorescence anisotropy reconstruction pipelines can be found at https://github.com/mehta-lab/miPolScope.</p>
Dataset: Tensor-network study of correlation-spreading dynamics in the two-dimensional Bose-Hubbard model
<p>Dataset</p> <p>Tensor-network study of correlation-spreading dynamics in the two-dimensional Bose-Hubbard model</p> <p>Ryui Kaneko, Ippei Danshita</p>
High-resolution images of 1550 Ordovician to Silurian graptolite specimens for global correlation and shale gas exploration
<p>A unique graptolite image dataset consists of key graptolite species used for dating rocks, global correlation, and “gold caliper” for locating shale gas favourable exploration beds (FEBs) in China. <br> All images were taken from 1,550 carefully curated graptolite specimens, taxonomically belong to 113 graptolite species or subspecies. They were collected from the Ordovician to Silurian sediments of China and published in 1958-2020. These specimens are preserved as shale and were collected from 154 representative geological sections of China. All specimens are housed at the Nanjing Institute of Geology and Palaeontology (NIGP), Chinese Academy of Sciences (CAS).</p> <p>My working group spent over two years to complete photographing every specimen using a single-lens reflex camera Nikon D800E with Nikkor 60 mm macro-lens and Leica M125 and M205C microscopes equipped with Leica cameras. Every image is well focused and better shows the morphology of graptolite bodies.</p> <p>In total, we took 40,597 images, including 20,644 camera photos (each with a resolution of 4,912 × 7,360) and 19,953 microscope photos (each with a resolution of 2,720 × 2,048). Photos of low contrast or bad focus were removed from the whole collection. We only kept and selected the photos that show the visual morphology of every specimen and the diagnostic character of each graptolite species that the specimens represent. We selected one image for each specimen as the present final dataset, uploaded to and stored in our cloud server.</p> <p>We incorporated revision suggestions from distinguished palaeontologists to generate the ground-truth labels, providing a taxonomical authority of the dataset. The dataset potentially contributes to a range of scientific activities and provides 1) easy access to high-resolution images of 2951 specimens of 113 graptolite species for teaching and training in palaeontology and geologic survey; 2) Global bio-stratigraphic correlation using graptolites, especially with those bio-zone species; 3) A standard fossil specimen image dataset used in shale gas industry to improve exploration efficiency, and 4) The potential aid of developing image-based automated classification model.</p> <p>Every specimen has two photos, one is original, another shows specimen with a scale bar. Occasionally in some large image the scale bar is embedded and beside the fossil specimen.</p> <p>All in JPG format. Single JPG file ranges from 822 KB to 7.055 MB. </p> <p>Total :10.4 GB.</p>
BeMAGIC_Correlation between structural modifications induced by ion irradiation and the magneto-ionic rates
<p>BeMAGIC ITN (GA861145)_Correlation between structural modifications induced by ion irradiation and the magneto-ionic rates. Results from SPIN-ION, UAB, KIT.</p>
Companion for "Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements"
<p>This is the Companion Material for the paper “Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements”, by Ana Luisa Veroneze Solórzano and Lucas Mello Schnorr. The manuscript was approved for publication in the <a href="https://www.isc-hpc.com/research-papers-2022.html">ISC High Performance 2022</a> for the Research Papers session. A public companion is also availabl in GitLab: <a href="https://gitlab.com/anaveroneze/isc2022-companion/">https://gitlab.com/anaveroneze/isc2022-companion</a>.</p> <p> </p>
Integrating differential expression and weighted correlation network analysis for identifying genes controlling shoot development in Sorghum bicolor
<p>Supplementery materials of journal article "Integrating differential expression and weighted correlation network analysis for identifying genes controlling shoot development in <em>Sorghum bicolor</em>"</p>
Correlation spectroscopy with multi-qubit-enhanced phase estimation: data
<p>This directory contains the data shown in Figures 2-8 of the paper "Correlation spectroscopy with multi-qubit-enhanced phase estimation" (https://doi.org/10.48550/arXiv.2203.12656). Each data set is stored as matlab .mat file containing variables described in the accompagnying .text document</p>
Fig. 6 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)
Fig. 6. Subfamily Monachinae: left mandible of Lobodon carcinophagus (NMNH 28538) in labial view showing masseteric fossa (dashed outline).
Fig. 4 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)
Fig. 4. Subfamily Phocinae: А — mandible of Halichoerus grypus, left, NMNH 51488; in labial view showing masseteric fossa (dashed outline) and arrows indicating ridge for attachment of superficial masseter tendons; B — mandible of Phoca largha, right, reversed, NMNH 290654; in labial view showing width (w) and height (h) of the masseteric fossa and the small ridge on the coronoid process (black *) for attachment of the temporalis muscle.
Fig. 3 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)
Fig. 3. Subfamily Cystophorinae: left mandible of Cystophora cristata: A— °, NMNH 269130, reversed; B — ♀, NMNH 188956, in labial views.
Fig. 1 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)
Fig. 1. Right mandible of Recent Gray seal (Halichoerus grypus, NMNH 51488) in labial view with measured condyloid angle based on the inclination of the condyloid process to the alveolar line. The condyloid angle can be identified by the joining of a horizontal axis parallel to the base of the mandible, starting from the lower alveolar edge of the canine (as indicated by line a), vertical axis from the posterior edge of m1 to the base of the mandible (line b) and an oblique axis from the intersection of lines a and b to the tip of the condyloid process (line c).
Dataset: Assessing MP2 frozen natural orbitals in relativistic correlated electronic structure calculations
<p>This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "Assessing MP2 frozen natural orbitals in relativistic correlated electronic structure calculations", by Xiang Yuan, Luvas Visscher and Andre Severo Pereira Gomes. It also contains the figures used in the manuscript.</p>
Climatic refugia and reduced extinction correlate with underdispersion in mammals and birds in Africa
Macroevolutionary patterns, often inferred from metrics of community relatedness, are often used to ascertain major evolutionary processes shaping communities. These patterns have been shown to be informative of biogeographic barriers, of habitat suitability and invasibility (especially with regards to environmental filtering), and of regions that function as evolutionary cradles (i.e., sources of diversification) or museums (i.e., regions of reduced extinction). Here, we analysed continental datasets of mammal and bird distributions to identify primary drivers of community evolution on the African continent for mostly-endothermic vertebrates. We find that underdispersion (i.e., relatively low phylogenetic diversity compared to species richness) closely correlates with specific ecoregions that have been identified as climatic refugia in the literature, regardless of whether these specific regions have been touted as cradles or museums. Using theoretical models of identical communities that differ only with respect to extinction rates, we find that even small suppressions of extinction rates can result in underdispersed communities, supporting the hypothesis that climatic stability can lead to underdispersion. We posit that large-scale patterns of under- and overdispersion between regions of similar species richness are more reflective of a particular region's extinction potential, and that the very nature of refugia can lead to underdispersion via the steady accumulation of species richness through diversification within the same ecoregion during climatic cycles. Thus, patterns of environmental filtering can be obfuscated by environments that coincide with biogeographic refugia, and considerations of regional biogeographic history are paramount for inferring macroevolutionary processes. --
Data from: Speciation in Nearctic oak gall wasps is frequently correlated with changes in host plant, host organ, or both
<p>Quantifying the frequency of shifts to new host plants within diverse clades of specialist herbivorous insects is critically important to understand whether and how host shifts contribute to the origin of species. Oak gall wasps (Hymenoptera: Cynipidae: Cynipini) comprise a tribe of ~1000 species of phytophagous insects that induce gall formation on various organs of trees in the family Fagacae —primarily the oaks (genus <em>Quercus</em>; ~435 sp). The association of oak gall wasps with oaks is ancient (~50 my), and most oak species are galled by one or more gall wasp species. Despite the diversity of both gall wasp species and their plant associations, previous phylogenetic work has not identified the strong signal of host plant shifting among oak gall wasps that has been found in other phytophagous insect systems. However, most emphasis has been on the Western Palearctic and not the Nearctic where both oaks and oak gall wasps are considerably more species rich. We collected 86 species of Nearctic oak gall wasps from 10 of the 14 major clades of Nearctic oaks and sequenced >1000 Ultra Conserved Elements (UCEs) and flanking sequences to infer wasp phylogenies. We assessed the relationships of Nearctic gall wasps to one another and, by leveraging previously published UCE data, to the Palearctic fauna. We then used phylogenies to infer historical patterns of shifts among host tree species and tree organs. Our results indicate that oak gall wasps have moved between the Palearctic and Nearctic at least four times, that some Palearctic wasp clades have their proximate origin in the Nearctic, and that gall wasps have shifted within and between oak tree sections, subsections, and organs considerably more often than previous data have suggested. Given that host shifts have been demonstrated to drive reproductive isolation between host-associated populations in other phytophagous insects, our analyses of Nearctic gall wasps suggest that host shifts are key drivers of speciation in this clade, especially in hotspots of oak diversity. Though formal assessment of this hypothesis requires further study, two putatively oligophagous gall wasp species in our dataset show signals of host-associated genetic differentiation unconfounded by geographic distance, suggestive of barriers to gene flow associated with the use of alternative host plants.</p>
Assets for 'Phase correlation on the edge for estimating cloud motion' submitted to Atmospheric Measurement Techniques
<p>1. CMV-26-07-2016_ARM-SGP.gif Sample cloud motion vectors from TSI camera images over the United States Atmospheric Radiation Measurement user facility’s Southern Great Plains site.</p> <p>2. raindrop_02-01-2017_ARM-SGP.gif Rotation of cloud motion vectors from raindrop contaminated TSI camera.</p>
Potential distribution of invasive boxwood blight pathogen (Calonectria pseudonaviculata) as predicted by process-based and correlative models
<p>R project, R scripts, and data files for reproducing most of the analyses presented in a climatic suitability study for boxwood blight. The README. md file describes how to run the scripts and provides details on data inputs.</p> <p><strong>Abstract: </strong>Boxwood blight caused by <em>Cps</em> is an emerging disease that has had devastating impacts on <em>Buxus</em> spp. in the horticultural sector, landscapes, and native ecosystems. In this study, we produced a process-based climatic suitability model in the CLIMEX program and combined outputs of four different correlative modeling algorithms to generate an ensemble correlative model. All models were fit and validated using a presence record dataset comprised of <em>Cps</em> detections across its entire known invaded range. Evaluations of model performance provided validation of good model fit for all models. A consensus map of CLIMEX and ensemble correlative model predictions indicated that not-yet-invaded areas in eastern and southern Europe and in the southeastern, midwestern, and Pacific coast regions of North America are climatically suitable for <em>Cps</em> establishment. Most regions of the world where<em> Buxus</em> and its congeners are native are also at risk of establishment. These findings provide the first insights into <em>Cps</em> global invasion threat, suggesting that this invasive pathogen has the potential to significantly expand its range.</p>
Machine learning the quantum flux-flux correlation function for catalytic surface reactions
<p>This dataset contains information on each of the 14 reactions used in the paper, the geometries for these reactions, the product of the quantum reaction rate constant and canonical reactant partition function and the flux-flux correlation function time series values for each reaction-temperature combination.</p> <p><strong>reaction_details.csv</strong></p> <p>This is a .csv file containing additional details on the reactions used in this paper. Each row contains one reaction/temperature combination, of which there are 55.</p> <p> </p> <p>Column descriptions:</p> <ul> <li>reaction_number: Reaction identifier number used in this work</li> <li>reaction: The chemical reaction equation</li> <li>metal_surface: atomic symbol of metal surface</li> <li>facet_number: Miller indices of surface</li> <li>reactants: Python dictionary object of reactants and their quantities</li> <li>products: Python dictionary object of products and their quantities</li> <li>reaction_energy [eV]: reaction energy in electron-volts</li> <li>activation_energy [eV]: activation energy of reaction in electron-volts</li> <li>temperature [K]: The randomly assigned temperature a calculation was run for</li> <li>kQ_Cff [1/au]: The calculated integrated reaction rate product at corresponding temperature {1,2,3,4} in units 1/(au time).</li> <li>reaction_split: Train/test placement of that reaction/temperature combination for reaction split</li> <li>temperature_split:<strong> </strong>Trian/test placement of that reaction/temperature combination for temperature split</li> <li>catalysishub_reactionID: Catalysis Hub reaction ID identifier for referencing catalysis hub database</li> <li>doi:<strong> </strong>digital object identifier of original publication for which DFT calculations were performed</li> </ul> <p> </p> <p> </p> <p><strong>Flux_flux_correlation_functions:</strong></p> <p>Directory containing flux-flux correlation function time series values for each reaction temperature combination. Values are organized in subdirectories, one for each of the 14 reaction. In each subdirectory .csv files are labeled by reaction number and temperature in Kelvin. Each csv file contains a column with time points [au of time] and the corresponding flux-flux correlation function value in units [1/(au of time)<sup>2</sup>].</p> <p> </p> <p><strong>Geometries:</strong></p> <p>Directory containing geometry files for each reaction. Geometries of reactants on the surface were shifted respect to those supplied by catalysis hub to create continuous reaction pathways where necessary. Geometry files are organized in subdirectories for each reaction. When complete nudged elastic band (NEB) minimum energy paths (MEP) were not available ,subdirectories contain a products.xyz, reactants.xyz, and TSstar.xyz file (reactions 1 to 11) otherwise the complete set of NEB MEP images labeled neb{n}.xyz is given (reactions 12, 13, 14).</p> <p> </p> <p> </p>
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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.