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1,392 results for “Match”
Supplementary materials for "Forecasting Soccer Matches With Betting Odds: A Tale of Two Markets"
<p>Replication package for International Journal of Forecasting article "Forecasting Soccer Matches With Betting Odds: A Tale of Two Markets".</p>
All-sky AGN catalogue used in Veronesi et al. 2024b, and results of its cross-matching with GW events
<p>The files below contain the catalogue and the results of its cross-match with GW sky maps used in the analysis presented in Veronesi et al. 2024b (https://arxiv.org/abs/2407.21568).<br><br>Short description of the content:</p> <ul> <li><strong>Quaia_z15.csv</strong>: catalogue containing all the objects of Quaia with a redshift estimate of z<=1.5. The parent catalogue is presented in Storey-Fisher 2024 (https://ui.adsabs.harvard.edu/abs/2024ApJ...964...69S/abstract) and the related data is publicly available at https://zenodo.org/records/10403370;</li> <li><strong>completeness.csv</strong>: completeness for the 8 linear redshift bins between z=0.0 and z=1.5. Different columns correspond to different cuts in bolometric luminosity. The values of the different luminosity thresholds can be found in the parent paper;</li> <li><strong>result_crossmatch.csv</strong>: results of the cross-match between the AGN catalogue and 159 GW sky maps. For each skymap we indicate the ID of the GW event, the value of average completeness within the 90 per cent credibility level localisation volume, the sum of the probability densities associated to each AGN within such volume, weighted by the number density of the catalogue, and the difference of the logarithm of the single-event likelihood calculated at f_AGN=1 and the one at f_AGN=0.</li> </ul>
Fig. 13 Erythraeus regalis, larva. a Gnathosoma, ventral view. b in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 13 Erythraeus regalis, larva. a Gnathosoma, ventral view. b Palp tarsus
Data from: Non-inheritable risk factors during pregnancy for congenital heart defects in offspring: a matched case-control study
<p>Data analyzed in "Non-inheritable risk factors during pregnancy for congenital heart defects in offspring: a matched case-control study". The data provided by the authors to benefit other researchers. The posted materials are not copyedited and are the sole responsibility of the authors, so questions should be addressed to the corresponding author.</p>
False-match symmetry: Data files and simulation code
<p>This record provides data from random-dot stereograms to use in solving the binocular correspondence problem through false-match symmetry. It also provides an implementation of the algorithm used in the article ‘Solving the stereo correspondence problem with false matches’ [Ng CJ, Farell B (2019) Solving the stereo correspondence problem with false matches. PLoSONE 14(7): e0219052. https://doi.org/10.1371/journal.pone.0219052].</p> <p>The record consists of two parts, Data and Algorithm Demo. The Data component consists of pre-computed Keplerian arrays of all possible matches between filtered random-dot image pairs containing stereoscopically defined surfaces. The Algorithm Demo allows data files to be computed afresh from supplied pairs of images of various surface configurations. Plotting of data is possible in both cases. An interactive demo can also be used to explore the target image selection process.</p>
Forecasting extremes of football players' performance in matches
<p>This repository contains material auxiliary to paper titled "Forecasting extremes of football players' performance in matches", divided into the following parts.</p> <p>A. Athlete performance parameters, as generated from the Apex Pro Series, STATSports, Premium System607<br>2023, Sonra 4.0</p> <ul> <li>"Appendix A.pdf"</li> </ul> <p>B. Sample datasets used in modeling</p> <ul> <li>"Appendix B.xlsx" - an athelete's performance log as produced by STATSports system</li> <li>match-day-gps.csv - an athlete's GPS trace on a match day (MD)</li> <li>md-5-training-gps.csv - the athlete's GPS trace on a training session 5 days before MD</li> </ul> <p>C. Sample models and modeling results</p> <ul> <li>Z_cnt.py - sample pre-processed and aggregated GPS data, used further in modeling</li> <li>zenodo_gps_demo.py - a scipt examining a range of time vs. speed definitions of an interval that correlate training and match performace best</li> <li>zenodo_apx_demo.py - a script generating sample models from APX-Data</li> </ul>
Data and Code for "Comparing the Effects of Euclidean Distance Matching and Dynamic Time Warping in the Clustering of COVID-19 Evolution"
<p>This repository contains the datasets and data sources, analysis code, and workflow associated with the manuscript "<em>Comparing the Effects of Euclidean Distance Matching and Dynamic Time Warping in the Clustering of COVID-19 Evolution</em>". The following resources are provided:</p> <ul> <li> <p><strong>Data Files</strong>:</p> <ul> <li><code>time_series_data.csv</code>: A curated time series dataset with dates as rows and NUTS 2 regions as columns. Each column is labeled using a 4-letter abbreviation format "CC.RR", where "CC" represents the country code and "RR" represents the region code. This same abbreviation is also included in the accompanying GeoJSON file.</li> <li><code>geometry_data.geojson</code>: A GeoJSON file representing the spatial boundaries of the NUTS 2 regions, with the same 4-letter abbreviations used in the CSV file. EPSG:4326.</li> <li><code>COVID19_data_sources.xlsx</code>: This Excel file contains important metadata regarding the sources of COVID-19 data used in this study. It includes: <ul> <li>Source of the data for each country</li> <li>Official website(s)</li> <li>The agency responsible for the data</li> <li>Description of the processing steps used to curate the data into the final time series.</li> </ul> </li> </ul> </li> <li> <p><strong>Code</strong>:</p> <ul> <li><code>analysis.py</code>: A Python script used to process and analyze the data. This code can be run using Python 3.x. The libraries required to run this script are listed in the first lines of the code. The code is organized in different numbered sections (1), (2), ... and sub-sections (1a), (1b) ... Make sure to run the script one (sub-)section at a time, so that everything stays overviewable and you don't get all the output at once.</li> </ul> </li> <li> <p><strong>Workflow</strong>:</p> <ul> <li><code>workflow.png</code> : A detailed workflow according to the Knowledge Discovery in Databases (KDD) process, outlining the steps involved in processing and analyzing the data, including the methods used. This workflow provides a comprehensive guide to reproducing the analysis presented in the paper.</li> </ul> </li> </ul>
Clear optically matched panoramic access channel technique (COMPACT) for large-volume deep brain imaging
<p>Source data of paper "Clear optically matched panoramic access channel technique (COMPACT) for large-volume deep brain imaging" published on Nature Methods.</p>
Clear optically matched panoramic access channel technique (COMPACT) for large-volume deep brain imaging
<p>Source data of paper "Clear optically matched panoramic access channel technique (COMPACT) for large-volume deep brain imaging" published on Nature Methods.</p>
Pollinator community predicts trait-matching between oil-producing flowers and a guild of oil-collecting bees
<p>The impact of pollinator community diversity on trait-matching in plant-pollinator interactions is poorly studied, even though many mutualisms involve multiple interaction partners. We studied ten communities in which one to three species of oil-collecting <i>Rediviva</i> bee pollinate the<i> </i>long-spurred, oil-producing flowers of <i>Diascia 'floribunda'</i> to examine how pollinator diversity affects covariation of functional traits across sites and trait-matching within sites. Floral spur-length was significantly correlated with weighted grand mean foreleg length of the local bee community but not with foreleg length of individual bee species. The closeness of trait-matching varied among populations and was inversely related to pollinator community diversity. For all bee species, trait-matching was closest at sites characterized by exclusive, pairwise interactions. Reduced trait-matching associated with increased community diversity for individual pollinator species, but close matching at the community level support the importance of community context for shaping interacting traits of flowers and pollinators.</p>
Entity Matching on Dataset Smartphone
<p>Entity Matching on Dataset Smartphone</p>
Data from: Match and mismatch: integrating consumptive effects of predators, prey traits, and habitat selection in colonizing aquatic insects
<p>Predators are a particularly critical component of habitat quality, as they affect survival, morphology, behavior, population size, and community structure through both consumptive and non-consumptive effects. Non-consumptive effects can often exceed consumptive effects, but their relative importance is undetermined in many systems. Our objective was to determine the consumptive and non-consumptive effects of a predaceous aquatic insect, <em>Notonecta irrorata</em>, on colonizing aquatic beetles. We tested how <em>N. irrorata </em>affected survival and habitat selection of colonizing aquatic beetles, how beetle traits contributed to their vulnerability to predation by <em>N. irrorata,</em> and how combined consumptive and non-consumptive effects affected populations and community structure. Predation vulnerabilities ranged from 0–95% mortality, with size, swimming, and exoskeleton traits generating species-specific vulnerabilities. Habitat selection ranged from predator avoidance to preferentially colonizing predator patches. Attraction of Dytiscidae to <em>N. irrorata</em> may be a natural ecological trap given similar cues produced by these taxa. Hence, species-specific habitat selection by prey can be either predator-avoidance responses that reduce consumptive effects, or responses that magnify predator effects. <em>Notonecta irrorata</em> had both strong consumptive and non-consumptive effects on populations and communities, while combined effects predicted even more distinct communities and populations across patches with or without predators. Our results illustrate that an aquatic invertebrate predator can have functionally-unique consumptive effects on prey, attracting and repelling prey, while prey have functionally-unique responses to predators. Determining species-specific consumptive and non-consumptive effects is important to understand patterns of species diversity across landscapes.</p>
Bibliopraphic records of matched Philpapers papers in the 17 topics
<p>The matched papers of 17 topic in Philpapers, with its original bibliographical records and WoS UT number. The matched progress can be referred in the paper "Measuring the Isolation of Research Topics in Philosophy" by Pei-Shan Chi and Stijn Conix. </p> <p>Chi, P.S. & Conix, S. (under review). Measuring the Isolation of Research Topics in Philosophy, Scientometrics.</p>
Scots pine log end face images for developing identity matching methods for tree logs
<p>For developing log identification methods, i.e., "face recognition" methods for log individuals, a total of 493 unique Scots pine logs were photographed to create this data set of 4930 log end face images.</p> <p>The photography was completed in two sessions, each lasting one working day. In the first session, each log was photographed from five different perspectives: directly head-on, plus four other imaging angles. In the second session, which took place five days later, the same photography procedure was repeated for each log.</p> <p>The data is structured into directories as <log number>/<imaging day>/<angle index>.jpg, where <log number> is the uniquely identifying number for each individual log, imaging day is either 01 (meaning the first imaging session) or 02 (meaning the second imaging session), and angle index is an integer from 0 (the direct head-shot image) to 4, where indeces from 1 to 4 signify the other imaging angles besides the direct head-on perspective.</p> <p>Please see the publication at <a href="https://doi.org/10.1016/j.atech.2023.100201">https://doi.org/10.1016/j.atech.2023.100201</a> for more details.</p>
Interactions between protea plants and their animal mutualists and antagonists are structured more by energetic than morphological trait matching
<p class="MsoNormal"><span>Traits mediate mutualistic and antagonistic interactions between plants and animals, and should thus be useful for predicting trophic species interactions. Studies to date have examined the importance of morphological trait matching for plant-animal interactions, but have rarely explored the extent to which these interactions are shaped by matching between energetic provisions of plants and energetic demands of animals.</span></p> <p class="MsoNormal"><span>We tested whether energetic and/or morphological trait matching shapes interactions between <em>Protea</em> plant species and their interacting animal mutualists and antagonists in the Cape Floristic Region, South Africa.</span></p> <p class="MsoNormal"><span>We recorded interactions between 22 <em>Protea</em> species, pollinating insects, and vertebrates as well as seed predators (endophagous insect larvae in protea cones) at 21 study sites. To relate species interactions to matching trait pairs, we measured key morphological traits (shape and size of flower heads and seed cones, and mouth part length as well as body length) and quantified the animals' energetic demands (metabolic rate) together with the plants' energetic provisions (nectar sugar amount, seed-to-cone mass ratio). We calculated log ratios of both energetic and morphological traits between animals and plants as predictor variables for the number of observed interactions between <em>Protea</em> species and their animal interaction partners.</span></p> <p class="MsoNormal"><span>For both mutualistic and antagonistic interactions, we found significant effects of morphological and energetic trait ratios on the interactions between plants and animals. Trait ratios accounted for 11% to 22% of the variation in species interactions. Consistent with energetic trait matching, we found a hump-shaped relationship between interaction frequency and log ratios of energetic traits of animals and plants, indicating that interactions were most frequent at intermediate log ratios between energetic demand and provision. Effects of morphological trait ratios on interactions were statistically supported in most cases but were variable in the magnitude and shape of the predicted relationships. </span></p> <p><span>Across animal taxa and interaction types, energetic traits had more consistent effects on interactions between plants and animals than morphological traits. This suggests that energy can function as an important interaction currency and facilitate the understanding and prediction of trophic species interactions.</span></p>
DATA : Reward expectations direct learning and drive operant matching in Drosophila
<p>This dataset contains all the behavioral data used in the research report titled " Reward expectations direct learning and drive operant matching in Drosophila" currently submitted to PNAS.</p>
Improving spectral library search untargeted metabolomics identification by dynamic tolerance peak matching and false discovery estimation
<p><strong>The unprocessed and processed benchmarking data used in the paper of "Improving spectral library search untargeted metabolomics identification by dynamic tolerance peak matching and false discovery estimation"</strong></p>
The Role of Spatial Information in an Approximate Cross-Modal Number Matching Task
<p>Data for article:</p> <p>The Role of Spatial Information in an Approximate Cross-Modal Number Matching Task</p>
Assessment of Fast-Track pathway in hip and knee replacement surgery by propensity score matching on patient-reported outcomes
<p>This is the dataset accompanying the publication "Assessment of Fast-Track pathway in hip and knee replacement surgery by propensity score matching on patient-reported outcomes" published on the Diagnostics journal.</p>
Generated ontology matching tests and matcher results
This archive contains all the files supporting the results published in [1] using the Alignment API [2]. This consists of generating tests from ontology matchers using a seed ontologies, running ontology matchers on these tests and evaluating their results. In order to facilitate reproducibility, scripts to obtain and analyse the results are provided.<br>The archive contains:<ul><li>scripts to generates the tests</li><li>scripts to evaluate the results</li><li>a directory of the original benchmarks data set</li><li>a directory of the four seed ontologies</li><li>a directory of the generated datasets (ontologies and reference alignments) and the alignments obtained by 10 matchers</li><li>a directory of the analysed results.</li></ul><br>More information is available in the paper [1] itself.<br>[1] Jérôme Euzenat, Maria Roşoiu, Cássia Trojahn dos Santos, Ontology matching benchmarks: generation, stability, and discriminability, <i>Journal of web semantics</i> 21:30-48, 2013 [DOI:<a href="https://doi.org/10.1016/j.websem.2013.05.002">10.1016/j.websem.2013.05.002 </a>]<br>[2] <a href="https://gitlab.inria.fr/moex/alignapi/">https://gitlab.inria.fr/moex/alignapi/</a><br><br>
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.