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74 results for “error correction”
Supplementary dataset for journal article "High-accuracy current measurement with low-cost shunts by means of dynamic error correction"
<p>Supplementary material for the journal article "High-accuracy current measurement with low-cost shunts by means of dynamic error correction".</p> <p>Measurements include</p> <ul> <li>Temperature dependence of a single 10mOhm shunt resistor in TO-247 package.</li> <li>Calibration sequence measurements for automated 600A test equipment for studies on automotive Li-Ion cells.</li> <li>Obtained dynamic and steady-state calibration parameters</li> <li>Parameter distribution for 100 test systems.</li> <li>Parameter drift for a single tester after one year of operation</li> </ul> <p>All data has been combined into a single binary Matlab-File.</p>
Demonstration of fault-tolerant Steane quantum error correction
<p>Source data underlying the graphical representations used in the figures and corresponding executed quantum circuits.</p>
Stim circuits and collected data for "Error-corrected Hadamard gate simulated at the circuit level" manuscript
<p>The stim circuits which we sampled to obtain logical failure probabilities, and the collected data organised in an excel file.</p>
Theoretical Design of Optimal Molecular Qudits for Quantum Error Correction. Open data set
<p>Data supporting the original figures 1, 2, 3 and 4 of the related publication.</p>
Characterizing quantum instruments: from non-demolition measurements to quantum error correction
<p>Source data underlying the graphical representations used in the figures.</p>
Data from: Detecting macroevolutionary genotype-phenotype associations using error-corrected rates of protein convergence
<p><span>On macroevolutionary timescales, extensive mutations and phylogenetic uncertainty mask the signals of genotype-phenotype associations underlying convergent evolution. To overcome this problem, we extended the widely used framework of nonsynonymous-to-synonymous substitution rate ratios and developed the novel metric <em>ω<sub>C</sub></em>, which measures the error-corrected convergence rate of protein evolution. While </span><span><em>ω<sub>C</sub></em></span><span> distinguishes natural selection from genetic noise and phylogenetic errors in simulation and real examples, its accuracy allows an exploratory genome-wide search of adaptive molecular convergence without phenotypic hypothesis or candidate genes. Using gene expression data, we explored over 20 million branch combinations in vertebrate genes and identified the joint convergence of expression patterns and protein sequences with amino acid substitutions in functionally important sites, providing hypotheses on undiscovered phenotypes. We further extended our method with a heuristic algorithm to detect highly repetitive convergence among computationally nontrivial higher-order phylogenetic combinations. Our approach allows bidirectional searches for genotype-phenotype associations, even in lineages that diverged for hundreds of millions of years.</span></p>
Dataset used in "What drives the Bitcoin price? A Factor Augmented Error Correction Mechanism investigation"
<p><strong>What drives the </strong><strong>Bitcoin price</strong><strong>? A Factor Augmented Error Correction Mechanism investigation</strong></p> <p>This article aims to determine what drives the price of Bitcoin. To achieve this aim, a large set of data is analysed using VEC models augmented by factors representing unobservable economic forces. They have been obtained by means of principal component analysis. This method enables us to contribute to the existing literature on Bitcoin in two ways. First, we employ the dimension reduction technique to combine variables from several papers. Second, we estimate several unobservable economic concepts instead of utilizing proxy variables as is usually done. We find that the main factor driving the Bitcoin price is its popularity. Hence, our result not only confirms some previous findings but reinforces them by providing a better definition of popularity. Finally, we conclude that the Bitcoin price is not affected by supply and demand factors in the way that is natural for conventional currencies. </p>
Error-corrected HG002 experimental high-accuracy UL reads
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Accompanying dataset: Binding of precursors to replicator assemblies can improve replication fidelity and mediate error correction
<p>Accompnaying dataset containing all of the simulated fibers. Full details are given in the aformentioned manuscript.<br> <br>The authors are grateful for support from the ERC (AdG 741774), the Dutch Ministry of Education, Culture and Science (Gravitation program 024.001.035), and the Center for Information Technology of the University of Groningen for providing access to the Peregrine high performance computing cluster. JW is supported by the China Scholarship Council. OM is partially supported by the John Templeton Foundation.</p>
Piggyback Sulcoflex Toric IOL for Correcting Refractive Error Following Corneal Transplantation
ClinicalTrials.gov study NCT01718184. IPD Sharing: Not stated. Countries: 1. Publications: 17.
Clinical Study of SMILE 4.0-VISULYZE in Correcting Refractive Errors
ClinicalTrials.gov study NCT06982807. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Effectiveness of Correcting Refractive Error With Ready-made Spectacles
ClinicalTrials.gov study NCT00657670. IPD Sharing: Not stated. Countries: 2. Publications: 3.
Effect of Variance on Error Correction During Coupling
ClinicalTrials.gov study NCT04856384. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Correction of location errors for presence-only species distribution models
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Data from: Detecting macroevolutionary genotype-phenotype associations using error-corrected rates of protein convergence
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Data from: Inconsistent use of multiple comparison corrections in studies of population genetic structure: are some type I errors more tolerable than others?
Studies of genetic population structure often involve numerous tests of Hardy-Weinberg equilibrium (HWE), linkage disequilibrium (LD), and genetic differentiation. Tests of HWE or LD are important precursors to population structure assessments. When conducting multiple related statistical tests, type 1 error increases, e.g., familywise error rate (FWER) inflation. FWER inflation can alter the results of statistical tests and thus the conclusions. Authors are aware of the need to control for FWER inflation, but there has been low consistency of use. Furthermore, there is a potential for the choice of correction methods to be exploited to selectively use FWER corrections to avoid data exclusion or to result in increased the rejection of null hypotheses. We surveyed literature from 2011-2013 to determine if studies of population structure assess LD and HWE and if FWER corrections were applied consistently across different types of genetic differentiation, linkage disequilibrium, and Hardy-Weinberg equilibrium tests. We found a lack of documentation of FWER corrections in studies, and we advocate for authors to be more cognizant in reporting their corrections. We also found significantly inconsistent FWER corrections, with a bias towards less restrictive correction on genetic differentiation and more restrictive corrections with LD and HWE. While varied adjustments of FWER for different types of analyses might be justified, papers with inconsistent usage across tests of HWE, LD and genetic differentiation did not present rationale for their FWER corrections. We also found a lack of documentation of HWE, LD and FWER corrections in studies. We encourage authors to report statistical tests and related FWER corrections, use FWER corrections consistently or justify their different methods in the same study.
Data accompanying the publication "Quantum error correction with silicon spin qubits"
<p>Data accompanying the publication "Quantum error correction with silicon spin qubits"</p>
Quantum error correction with molecular spin qudits. Open dataset
<p>Data supporting the original figures 1, 3, 4, 5 of the related publication.</p>
Datasets used in "Repeat and haplotype aware error correction in nanopore sequencing reads with DeChat"
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The experimental data of three-axis fluxgate instrument installation orientation error correction
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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
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.