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528 results for “equivalence”
Supplemental Materials for "Schwarzschild and Ledoux are equivalent on evolutionary timescales"
<p>This Zenodo repository contains a .tar file which contains datasets which can be used along with the code in the associated Github repository (https://github.com/evanhanders/schwarzschild_or_ledoux, an copy of which is also included here as a .tar file) to create all of the static figures in the paper. The figures can be recreated with this data by using the Python scripts in the schwarzschild_or_ledoux/publication_figures/ folder of the Git repository. The data are as follows:<br> <br> <strong>Figure 1</strong>:</p> <ul> <li>early_slices.h5, late_slices.h5 - 2D slices through various planes in the simulation which show the dynamics at a few early and late times in the simulation.</li> <li>early_profiles.h5, late_profiles.h5 - 1D horizontally-average profiles at the times associated with the dynamics in the 'slices' files.</li> <li>early_scalars.h5, late_scalars.h5 - files that contain some various scalar info (e.g., where the boundary is determined by the Schwarzschild and Ledoux criteria) for the early and late dynamics.</li> </ul> <p> </p> <p><strong>Figure 2</strong> -</p> <ul> <li>1D horizontally-averaged profiles for the full simulation in the paper are output into the "merged_profiles.h5" file. The output cadence is once every freefall time, so there are roughly 20,000 time points for each profile. figure 2 uses the initial state and the state at t = 17,000.</li> </ul> <p><strong>Figure 3 </strong>-</p> <ul> <li>scalar_data.h5 contains scalar values inferred from merged_profiles.h5 at each point in time. This file can be re-created by the user by using the 'profile_to_scalar.py' file inside of the publication_figures/ folder in the repository.</li> </ul>
Data from: Why does the complexity of functionally equivalent signals vary across closely related species?
<p>Animal signals are observed to vary widely in complexity among species, but why this should be the case—especially among closely related taxa—is unclear. Identifying the selective forces that drive these differences is important for understanding signal evolution, as well as the origins of communication more generally. We used a measure derived from information theory to quantify the complexity of visual territorial advertisement displays performed by males of closely related taxa of Puerto Rican <em>Anolis </em>lizard. In general, the information potential of visual displays appeared to be high compared to signals of other taxonomic groups (e.g., other lizards, birds). Nevertheless, there was still considerable variation in signal complexity among the <em>Anolis </em>taxa studied. We found a strong relationship between signal complexity and phylogeny for some aspects of the advertisement display traditionally thought to be important in species recognition. Other aspects of the display tended to vary independently of phylogeny, with differences in signal complexity among taxa reflecting the distance over which displays were typically viewed by territorial neighbours, and to some extent the number of sympatric congeners present in the environment. More generally, we highlight a little used, but tractable means of quantifying complexity in different species—and in different aspects of the same signal (the number, timing and type of components)—that can reveal the evolutionary processes generating increases (or decreases) in communicative complexity.</p>
Formal Methods for NFA Equivalence: QBFs, Witness Extraction, and Encoding Verification
<p>Supplemental material to the paper.</p>
Data-driven surrogate model for wind turbine damage equivalent load
<p>There are four zip files in this data set:</p> <ul> <li>PythonCode_OpenFAST: The code used to generate 32768 OpenFAST fst files to build the database.</li> <li>ML_TrainingCode: The code that used to train the TCN-FCNN and FCNN models for both free stream and wake</li> <li>Trained_Models: All the trained models are saved in Keras format. The models with max in their filenames were trained on maximum values. The models with XY in their naming were trained on wind in the X and Y directions.</li> <li>data: It includes all the CSV files for training and testing.</li> </ul>
Equivalence Classes of the LOD Cloud
<p>This data set contains all the 49 million non-singleton equivalence classes resulting from the transitive closure of over 556 million owl:sameAs statements extracted from the LOD Cloud in the 2015 LOD Laundromat crawl. These equivalence classes are the result of the transitive closure of the owl:sameAs links available in the <a href="http://sameas.cc">sameAs.cc</a> data set.</p> <p>We represent these non-singleton equivalence classes using two CSV files:</p> <p>1. id2terms.csv: contains in the first column the equivalence class identifier (randomly generated number) and in the rest of the columns all IRIs belonging to this equivalence class, which theoretically should refer to the same real world entity. In the following, we present an example of one row of this file, where "42467584" in the first column represents the ID of this equivalence class, and the 4 other columns represent the IRIs that are identical after transitive closure: </p> <blockquote> <p>42467584 <http://nl.dbpedia.org/resource/Cnodocentron_trilineatum> <http://sv.dbpedia.org/resource/Cnodocentron_trilineatum> <http://vi.dbpedia.org/resource/Cnodocentron_trilineatum> <http://www.wikidata.org/entity/Q2304468></p> </blockquote> <p>2. terms2id.csv: contains two columns, representing a mapping between each IRI in the sameAs.cc data set involved in a owl:sameAs link with the equivalence class it belongs to. In the following, we present an example of one row in this file:</p> <blockquote> <p><http://nl.dbpedia.org/resource/Cnodocentron_trilineatum> 42467584</p> </blockquote> <p>In addition to the closure of all owl:sameAs links (available in the folder <em><strong>closure_all.zip</strong>), </em>this data set contains an additional two closures, with each closure also containing two CSV files with the same structure as presented above. These two additional closures are the following:</p> <p><strong>- <em>closure_099.zip</em> </strong>represents the closure of all owl:sameAs links in the sameAs.cc data set after discarding around 1 million probably erroneous owl:sameAs links (with error degree >0.99). This error degree is computed based on the community structure of the network, described in the approach of <a href="https://www.cs.vu.nl/~frankh/postscript/ISWC2018.pdf">[Raad et al., 2018]</a>.</p> <p><strong>- </strong><em><strong>closure_04.zip</strong> </em>represents the closure of all owl:sameAs links in the sameAs.cc data set after discarding around 150 million owl:sameAs links (with error degree >0.4). The evaluation conducted in <a href="https://www.cs.vu.nl/~frankh/postscript/ISWC2018.pdf">[Raad et al., 2018]</a> shows that the 400M owl:sameAs links with an error degree <= 0.4 have higher probability of correctness compared to other links.</p> <p>The availability of these 3 different closures allows Linked Data practitioners for the first time to control in practice, the trade-off between (a) using more identity links, possibly not all correct, and benefiting from more contextual information from the LOD Cloud, and (b) using a smaller subset of higher quality identity links for limiting the risk of propagating erroneous identity links and information through the application of owl:sameAs semantics, i.e. transitive, symmetric, reflexive and property sharing.</p>
Dataset for Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis and Frequency Reduction Analysis
<p>Datasets for Submission: "<strong>An Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis: A Bayesian Approach to Electrochemical Impedance Spectroscopy</strong>"</p> <p>This dataset accompanies the above-mentioned submission and includes the following compressed files:</p> <p>Generated EIS Datasets for Three Corrosion Systems Mentioned in the submission and corresponding Nyquist Plots:</p> <ul> <li>Uniform corrosion system: <em><a href="../api/records/13351508/draft/files/Uniform_Generated%20data%20and%20Nyquist%20plots.rar/content" target="_blank" rel="noopener noreferrer">Uniform_Generated data and Nyquist plots.rar</a></em></li> <li>Passivating system: <em><a href="../api/records/13351508/draft/files/Passivating_Generated%20EIS%20data%20and%20Nyquist%20plots.rar/content" target="_blank" rel="noopener noreferrer">Passivating_Generated EIS data and Nyquist plots.rar</a></em></li> <li>Coating system: <em><a href="../api/records/13351508/draft/files/Coating_Generated%20EIS%20data%20and%20Nyquist%20plots.rar/content" target="_blank" rel="noopener noreferrer">Coating_Generated EIS data and Nyquist plots.rar</a></em></li> </ul> <p>Characteristic EIS Data Selected for Frequency Reduction Analysis:</p> <ul> <li>Uniform corrosion system: <em><a href="../api/records/13351508/draft/files/Uniform_charac_EIS.npy/content" target="_blank" rel="noopener noreferrer">Uniform_charac_EIS.npy</a></em></li> <li>Passivating system: <em><a href="../api/records/13351508/draft/files/Passivating_charac_EIS.npy/content" target="_blank" rel="noopener noreferrer">Passivating_charac_EIS.npy</a></em></li> <li>Coating system: <em><a href="../api/records/13351508/draft/files/Coating_charac_EIS.npy/content" target="_blank" rel="noopener noreferrer">Coating_charac_EIS.npy</a></em></li> </ul>
Snow water equivalent at the Gruvebadet Snow Resarch Site ( NY-Alesund, Svalbard, Norway)
<p>The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour.</p>
Measurement, self-similarity, and TNT equivalence of blasts from exploding wires
<p>This dataset contains raw overpressure time histories from blasts generated from exploding aluminum wires, recorded under controlled conditions at five energy levels and six standoff distances. The time histories, referenced in the accompanying study, provide detailed information about the shock wave profiles specific to aluminum-wire explosions.</p>
Supplementary material to 'New Equivalent Frame Models for Historical Masonry Structures'
<p>This repository provides the OpenSEES models used for producing the results presented in the paper as well as the data with results of the IDAs.</p>
Equivalent Biot and Skempton poroelastic coefficients for a fractured rock mass from a DFN approach
<p>These files allow the estimation of equivalent Biot and Skempton coefficients for a fractured rock mass. </p> <p>The folder is organized into: </p> <ul> <li><strong>validation</strong>: this folder contains the files used for the comparison of theoretical expressions with numerical results. In detail, it contains input scripts and results of the numerical HM simulation in 3DEC, input scripts and results for the DFN generation and analytical estimation of the coefficients, scripts for the comparison of numerical and theoretical estimations</li> <li><strong>sensitivity</strong>: this folder contains the files used for the sensitivity analysis. In particular, it contains scripts for the direct estimation of coefficients and for the estimations from the generated DFNs, for the case of parallel fractures and for randomly oriented fractures. </li> </ul> <p> </p>
Eindhoven - Human comfort: Physiological Equivalent Temperature
<p>Results of the measurements and evaluation of human comfort near NBS as evaluated by Physiological Equivalent Temperature in Eindhoven.</p>
Historical Daily Snow Water Equivalent (SWE) Estimations over the Western US and the Rocky Mountains
<p>model weights: DL model weights for SWE prediction for SNOTEL stations over the Western US. </p> <p>prediction: DL model predictions for SNOTEL SWE observations. </p> <p>[model]_clean_lats: SWE estimation over the Rocky Mountains with models trained on SNOTEL stations. </p> <p>[model]_hist_clean_lats: Historical SWE estimation over the Rocky Mountains with models trained on SNOTEL stations. </p> <p>[model]_relative_clean_lats: SWE fraction estimation over the Rocky Mountains with models trained on SNOTEL SWE fractions. </p> <p>code_SWE_main: necessary code for SWE modeling. </p> <p>corresponding code repository: https://github.com/ShihengDuan/code-SWE</p> <p> </p>
Review data for: SnowQM 1.0: A fast R Package for bias-correcting spatial fields of snow water equivalent using quantile mapping
<p>Climatology of snow water equivalent of Switzerland between winters 1962 and 2021. Obtained using quartile mapping between a model using data assimilation since 1998 and a model without data assimilation. This version of the dataset corresponds to the publication revision time. The publication has been submitted to GMD Copernicus journal as: <em>SnowQM 1.0: A fast R Package for bias-correcting spatial fields of snow water equivalent using quantile mapping</em></p>
Dataset for Finding Equivalence of Layout Independent Water Distribution Network for Expansion/Reorganization Using Nonlinear Multi-Port Thevenin Theorem
<p>This file consists all the data used in the manuscript " Finding Equivalence of Layout Independent Water Distribution Network for Expansion/Reorganization Using Nonlinear Multi-Port Thevenin Theorem "</p>
PrisonLIFE project - Adaptation, translation equivalence and content validity of the MQPL survey in Serbian
<p>This dataset was created as part of the PrisonLIFE project, funded by the Science Fund of the Republic of Serbia under Grant No. 7750249.</p> <p>This dataset includes information about the adaptation process, translations, and content validity assessment of the Serbian version of the Measuring the Quality of Prison Life (MQPL) survey, along with details about participants in focus groups and their feedback. The study references the works by Liebling et al. (2012) and Milićević et al. (2023).</p>
Database of Short Term Damage Equivalent Loads (DEL) of IWT7.5MW wind turbine depending on wind, TI, yaw and derating
<p>Two datasets for short term damage equivalent loads (DEL) and energy production of the IWT7.5 MW research wind turbine (https://doi.org/10.24406/IWES-N-518562) are provided. dataset_Derating is a subset of dataSet_Derating_withYaw.</p> <p>The damage equivalent loads are computed with the rainflow counting algorithm applied to time series loads. They are based on Miner's rule. Further details can be found in: <br> Requate, N., Meyer, T., and Hofmann, R.: From wind conditions to operational strategy: Optimal planning of wind turbine damage progression over its lifetime, Wind Energ. Sci., accepted for publication, 2023. </p> <p>In the paper, the dataset_Derating was used to create surrogate models.</p> <p>A fullfactorial approach to simulate different parameter-combination was applied. <br> Information about the signals and units is provided in the yml files.<br> The range of parameters is given by python code in the yml file. <br> For each set of parameters, 6 different 10 minute-realizations of a turbulent wind field ("seeds") were created. The turbine was then simulated separately for each turbulent wind field.<br> Each folder contains the short term DELs for each 10 minute simulation and the aggregated short term DELs over all 6 wind realizations.</p> <p>Outliers from simulation error were removed.<br> The data was originally intended to create surrogate models of the variation of outputs values throughout the parameter space. Further usage is possible and encouraged.</p>
Is Procardia XL 60 mg Q Daily Equivalent to 30 mg XL Given Twice Daily?
ClinicalTrials.gov study NCT03595982. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Study to Demonstrate Equivalent Efficacy and to Compare Safety of Biosimilar Adalimumab (GP2017) and Humira
ClinicalTrials.gov study NCT02016105. IPD Sharing: UNDECIDED. Countries: 4. Publications: 2.
Study in Healthy Volunteers to Prove That 2 Rotigotine Patches From Different Manufacturing Processes Deliver Equivalent Drug Amount to the Body.
ClinicalTrials.gov study NCT00881894. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Bioequivalence Study Comparing A Fixed Dose Combination Formulation Of Myrin P Forte That Contains Rifampicin, Isoniazid, Ethambutol And Pyrazinamide Per Tablet To An Equivalent Dose Of Single Drug
ClinicalTrials.gov study NCT01399788. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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OpenNeuro
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