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13 results for “Harmonic analysis”
Data release for paper "Towards the routine use of subdominant harmonics in gravitational-wave inference: re-analysis of GW190412 with generation X waveform models"
<p>This data release for the paper "Towards the routine use of subdominant harmonics in gravitational-wave inference: re-analysis of GW190412 with generation X waveform models" [<a href="https://arxiv.org/abs/2010.05830">arXiv:2010.2010.05830</a>] contains posterior samples for the GW190412 binary black hole merger event obtained from public GWOSC data with the parallel bilby Bayesian inference package, dynesty nested sampler and a set of waveforms from the "generation X" of phenomenological waveform models: IMRPhenomXAS, IMRPhenomXHM, IMRPhenomXP, IMRPhenomXPHM, IMRPhenomT and IMRPhenomTHM. The provided file is a "meta file" that can be read with the <a href="https://lscsoft.docs.ligo.org/pesummary/">PESummary</a> python package. The posterior samples included correspond to runs [2,6,10,12,14,26] in Table III of the paper (standard settings for each waveform, standar priors and sampler settings of Nlive=2048 and Nact=10 or 50). If you make use of these samples, please cite both this data release and the paper.</p>
Reference grids (vector) and their centroids for harmonization of analysis
<p>This dataset contains reference grids (vector) and their centroids for harmonized analysis. All the files are <em>geoparquet</em>, they are described below. Production procedure is available at projects GitHub repository (https://github.com/aavotins/HiQBioDiv/blob/main/Templates/TemplateGrids_Vector.R):</p> <ul> <li>"tikls100_sauzeme.parquet" contains terrestrial territory of Latvia divided in 100-by-100 m polygon grid cells. Contains fields: <ul> <li>"id" feature ID;</li> <li>"yes" a fields with values "1";</li> <li>"tks50km" with ID's of topographic map of Latvia pages (TKS-93 M:50000);</li> <li>"rinda300" with ID's matching file "tikls300_sauszeme.parquet";</li> <li>"ID1km" with ID's matching file "tikls1km_sauszeme.parquet";</li> <li>"rinda500" with ID's matching file "tikls500_sauszeme.parquet";</li> <li>"geom" a {sf} geometry definition field.</li> </ul> </li> <li>"tikls300_sauzeme.parquet" contains terrestrial territory of Latvia divided in 300-by-300 m polygon grid cells. Contains fields: <ul> <li>"rinda300" feature ID;</li> <li>"x" a {sf} geometry definition field.</li> </ul> </li> <li>"tikls500_sauzeme.parquet" contains terrestrial territory of Latvia divided in 500-by-500 m polygon grid cells. Contains fields: <ul> <li>"rinda500" feature ID;</li> <li>"tks50km" with ID's of topographic map of Latvia pages (TKS-93 M:50000);</li> <li>"x" a {sf} geometry definition field.</li> </ul> </li> <li>"tikls1km_sauzeme.parquet" contains terrestrial territory of Latvia divided in 1000-by-1000 m polygon grid cells. Contains fields: <ul> <li>"ID1km" feature ID;</li> <li>"yes" a fields with values "1";</li> <li>"tks50km" with ID's of topographic map of Latvia pages (TKS-93 M:50000);</li> <li>"geometry" a {sf} geometry definition field.</li> </ul> </li> <li>"pts100_sauszeme.parquet" contains centroids of file "tikls100_sauszeme.parquet" with their attribute fields;</li> <li>"pts300_sauszeme.parquet" contains centroids of file "tikls300_sauszeme.parquet" with their attribute fields and additionally "tks50km" with ID's of topographic map of Latvia pages (TKS-93 M:50000);</li> <li>"pts500_sauszeme.parquet" contains centroids of file "tikls500_sauszeme.parquet" with their attribute fields;</li> <li>"pts1000_sauszeme.parquet" contains centroids of file "tikls1km_sauszeme.parquet" with their attribute fields;</li> <li>"tks93_50km.parquet" contains topographic map of Latvia pages (TKS-93 M:50000). Contains fields: <ul> <li>"NOSAUKUMS" with a page name;</li> <li>"NUMURS" with a page number;</li> <li>"Shape_Length" an attribute from ESRI File Geodatabase;</li> <li>"Shape_Area" an attribute from ESRI File Geodatabase;</li> <li>"Shape" a {sf} geometry definition field;</li> </ul> </li> <li>All the above mentioned files are stored also as layers in geopakage file "vector_grids.gpkg" having the same names and attributes.</li> </ul>
Joseph Haydn - String Quartets Op.20 - Harmonic Analysis Annotations Dataset
<p>This dataset accompanies the Master Thesis from the same author. It is a manually-annotated corpus of harmonic analysis in **harm syntax.</p> <p>The dataset contains the following scores:<br> Haydn, Joseph<br> 1. E-flat major, op. 20 no. 1, Hob. III-31<br> I. Allegro moderato<br> II. Menuetto. Allegretto<br> III. Affettuoso e sostenuto<br> IV. Finale. Presto<br> 2. C major, op. 20 no. 2, Hob. III-32 <br> I. Moderato<br> II. Capriccio. Adagio<br> III. Menuetto. Allegretto<br> IV. Fuga a 4 soggetti<br> 3. G minor, op. 20 no. 3, Hob. III-33<br> I. Allegro con spirito<br> II. Menuetto. Allegretto<br> III. Poco adagio<br> IV. Finale. Allegro molto<br> 4. D major, op. 20 no. 4, Hob. III-34<br> I. Allegro di molto<br> II. Un poco adagio e affettuoso<br> III. Menuet alla Zingarese & Trio<br> IV. Presto e scherzando<br> 5. F minor, op. 20 no. 5, Hob. III-35<br> I. Allegro moderato<br> II. Menuetto<br> III. Adagio<br> IV. Finale. Fuga a due soggetti<br> 6. A major, op. 20 no. 6, Hob. III-36<br> I. Allegro di molto e scherzando<br> II. Adagio. Cantabile<br> III. Menuetto. Allegretto<br> IV. Fuga a 3 soggetti. Allegro</p>
Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media
<p>Due to the complex permittivity, it is difficult to directly clarify the transient mechanism between electromagnetic waves and Debye media. To overcome above problem, the temporal relationship between the electromagnetic waves and permittivity is explicitly derived by applying the Fourier inversion and introducing the remnant displacement. With the help of the Poynting theorem and energy conservation equation, the transient power loss density is derived to describe the transient dissipation of electromagnetic field and the mechanism on phase displacement has been explicitly revealed. Besides, the unique solution can be obtained by applying the time-domain analysis method rather than involving the frequency-domain characteristics. The effectiveness of transient analysis is demonstrated by giving a comparison simulation on one-dimensional example.</p>
Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media
Open the record for dataset details and reuse information.
spherical harmonics analysis of the wavefronts of a young supernova remnant
<p>This repository complements the upcoming ApJ paper "From supernova to supernova remnant: comparison of thermonuclear explosion models". The plots represent the surface of the three wavefronts of a young SNR: CD = contact discontinuity (edge of the ejecta), RS = reverse shock, FS = forward shock (outer blast wave). Radial fluctuations from the explosion center are mapped in spherical projection, and expanded in spherical harmonics to obtain the power spectrum = distribution of angular scales. Four supernova models are compared: N100ddt, N5ddt, N100def, N5def. The repository contains 3 folders: </p> <ul> <li><strong>maps_spectra</strong> (64 files, 16 MB) contains all the plots for the 4 models, for 4 fields: CD, FS, RS, FS-RS, as a function of time: as movies from 1 yr to 500 yr, and as snapshots at 3 selected times 1 yr, 100 yr, 500 yr.</li> <li><strong>SH_expansion</strong> (1059 files, 310 MB) contains a pedagogical example of the full expansion in spherical harmonics, for one map: the CD of N100ddt at 1 yr. It includes the basis functions Y𝓁𝓂 up to 𝓁=16 for each 𝓂, the individual components of the expansion up to 𝓁max=383, and the progressively reconstructed signal at each 𝓁.</li> <li><strong>SH_residuals</strong> (192 files, 90 MB) contains all the residuals plots to assess the quality of the reconstruction, for the 4 models, for the 4 fields, as a function of time.</li> </ul>
Harmonized analysis of microplastics: Insights from practical application within the FACTS project
<p>The pollution of the environment with plastics is of emerging concern. While first initiatives aim to reduce the input of these materials, the already existing amounts pose a problem. Due to degradation and fragmentation the initially large items form micro- and nanoplastic particles. Yet the analysis of these contaminates is hampered due to increasing number of analytical pipelines and tools in the different laboratories. In the recent years, various projects aimed to provide information about these issues at different scales. Here, we present the harmonization procedures derived and applied within the "Fluxes and Fate of Microplastics in Northern European Waters" (FACTS) project. To achieve a project internal harmonization the available sampling techniques, sample extraction methods, quality assurance measures aand protocols as well as analytical techniques were collected, evaluated and finally transferred into commonly agreed harmonized procedures. These procedures were afterwards applied in the planning of a large scale sampling campaign along the Norwegian Coast and within the Bergen Fjord. This was achieved by defining the filter mesh sizes for filtration pumps and sampling nets as well as the amount of sediment sampled. In contrast to sampling, the extraction was more difficult to harmonize yet a common agreement was derived by using Fenton's reagent oxidation for the removal of organic matter and sodium bromide for density separation following the laboratory internal protocol. Finally, the for analysis FTIR microscopy shall be applied using a common database and software tool (siMPle) allowing a following pyrolysis gas chromatography-mass spectrometry (py-GC/MS) analysis. The experience during the application of these protocols within FACTS will be discussed and further contextualized with the results of the "EUROpean Quality Controlled Harmonisation Assuring Reproducible Monitoring and assessment of plastic pollution" (EUROqCHARM) project. Also see: https://micro2022.sciencesconf.org/427364/document</p>
Evaluation of Harmonicity in Running Gait by the Use of Innovative Techniques of Video Analysis
ClinicalTrials.gov study NCT04103437. IPD Sharing: UNDECIDED. Countries: 1. Publications: 15.
Quantificational Enhancement Pattern Analysis Using a Novel Software "Vuebox" of Contrast-enhanced Harmonic Endoscopic Ultrasonography for Differential Diagnosis Between Adenomas and Cholesterol Polyp
ClinicalTrials.gov study NCT02492685. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Pooled Analysis of Methodologically Harmonized Pragmatic Randomized Trials of High-Dose vs. Standard-Dose Influenza Vaccine Against Severe Clinical Outcomes
ClinicalTrials.gov study NCT06506812. IPD Sharing: YES. Countries: 1. Publications: 1.
Dataset related to article "A reference framework for standardization and harmonization of CT Radiomics features: the "CadAIver" analysis"
<p><strong>Abstract</strong></p><p> </p><p><strong>Background</strong></p><p> </p><p>In recent years, Radiomics features (RFs) have been developed to provide quantitative, standardized information about shape, density/intensity and texture patterns on radiological images. Several studies showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. In this study we analyze the effects of CT acquisition parameters on RFs of lumbar vertebrae in a cadaveric donor.</p><p> </p><p><strong>Methods</strong></p><p> </p><p>112 unique CT acquisitions from cadaveric truck were performed on 3 different CT scanners varying KV, mA, field of view and reconstruction kernel settings. Lumbar vertebrae were segmented through a deep learning convolutional neural network and RFs were computed. The effects of each protocol on each RFs were assessed by univariate and multivariate Generalized Linear Model. Further, we compared the GLM model to the ComBat algorithm in the efficiency in harmonizing CT images.</p><p> </p><p><strong>Findings</strong></p><p> </p><p>From GLM, mA variation was not associated with alteration of RFs , whereas kV modification was associated with exponential variation of several RFs, including First Order (94.4%), GLCM (87.5%) and NGTDM (100%).</p><p>Upon cross-validation, ComBat algorithm obtained a mean R2 higher than 0.90 in 1 RFs (0.90%), whereas GLM model obtained high R2 in 21 RFs (19.6%), showing that the proposed GLM could effectively harmonize acquisitions better than ComBat.</p><p> </p><p> </p><p><strong>Interpretation</strong></p><p> </p><p>This study represents the first attempt in describing the effects of CT acquisition parameters in bone RFs in a cadaveric donor. Our analyses showed that RFs could be substantially different according to the variation of each acquisition parameter and in dataset obtained from different CT scanners. These differences can be minimized using the proposed GLM model. Publicly available dataset and GLM could foster the research of Radiomics-based studies by increasing harmonization across CT protocols and vendors.</p>
Contrast Enhanced Harmonic Endoscopic Ultrasound (CH-EUS), Elastography, and Fractal Analysis in Predicting Pancreatic Cancer Aggressiveness and Response to Therapy.
ClinicalTrials.gov study NCT05591287. IPD Sharing: NO. Countries: 1. Publications: 0.
The Diagnostic Role of Cystein-rich Protein 61 (Cyr61) in Acute Kidney Injury: Correlation With the Harmonic Analysis of Arterial Pressure Pulse Waves.
ClinicalTrials.gov study NCT01876134. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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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.