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Dataset results
9 results for “Uniform Sampling”
Large Uniform Random SAT Samples
<p>Large Random SAT samples generated with the following <em>samplers</em>:</p> <ul> <li>BDDSampler</li> <li>Spur</li> <li>QuickSampler </li> <li>KUS</li> <li>Unigen2</li> <li>Smarch </li> </ul>
Model Counting and Uniform Sampling Instances
<p>These instances mainly consist of the formulas that have been used in the evaluation of recent model counting techniques. A significant set of benchmarks involving sampling set, i.e., they are meant for projected model counting.<br> <br> The specification for reading such files can be found at <a href="https://github.com/meelgroup/approxmc">https://github.com/meelgroup/approxmc</a><br> <br> Here is list of some of the papers that have reported results on these instances:</p> <p>1. BIRD: Engineering an Efficient CNF-XOR SAT Solver and its Applications to Approximate Model Counting<br> Mate Soos and Kuldeep S. Meel<br> Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2019.</p> <p>2. Accelerating Approximate Techniques for Counting and Sampling Models Through Refined CNF-XOR Solving<br> Mate Soos, Stephan Gocht, and Kuldeep S. Meel<br> Proceedings of International Conference on Computer-Aided Verification (CAV), 2020.<br> </p>
Uniform Random SAT Samples
<p>Random SAT samples generated with the following <em>samplers</em>:</p> <ul> <li>Spur</li> <li>QuickSampler </li> <li>Unigen2</li> <li>Smarch </li> </ul>
Dataset for mansucript: Deeper Insight into Photopolymerization: The Synergy of Time-Resolved Non-Uniform Sampling and Diffusion NMR
<p>Dataset and processing scripts used in Manuscript:</p> <p><a href="https://pubs.acs.org/doi/10.1021/jacs.2c05944"><strong>Deeper Insight into Photopolymerization: The Synergy of Time-Resolved Non-Uniform Sampling and Diffusion NMR</strong></a></p> <p><a href="https://pubs.acs.org/doi/10.1021/jacs.2c05944"><strong>Journal of the American Chemical Society, DOI: 10.1021/jacs.2c05944</strong></a></p> <p>The main folder contains two Jupyter Notebooks:</p> <ol> <li>Analyze_DiffusionOnlyData.ipynb</li> <li>Analyze_InterleavedData.ipynb</li> </ol> <p>The first is used to analyze Diffusion-only analysis of photopolymerization of N,N-bis(anthracen-9-ylmethyl)butane-1,4-diamine and dimerization of anthracene. It is used to generate Figure SI.1.</p> <p>The second is used to analyze the first system using TR-NUS and TR-Diffusion dataset acquired in interleaved mode. It is used to generate Figures: 2,3,4 in main manuscript and Figure SI.3</p>
Raw data and scripts for "Non-uniform sampling of similar NMR spectra and its application to studies of the interaction between alpha-synuclein and liposomes" by Shchukina et al.
<p>A series of 15N HSQC spectra of aSyn at temperatures 15,17..43C acquired with and without the addition of POPG-based liposomes. The spectra can be processed with sparse undersampling at various levels (scripts are provided).</p>
Small Uniform Random SAT Samples
<p>Small Random SAT samples generated with the following <em>samplers</em>:</p> <ul> <li>BDDSampler</li> <li>Spur</li> <li>QuickSampler </li> <li>KUS</li> <li>Unigen2</li> <li>Smarch </li> </ul>
Simulated paired-end reads for sample 1 (uniform)
<p>Simulated paired-end reads for sample 1 (uniform coverage version) of Swimming Downstream</p>
Research data supporting: "Extended sampling of macromolecular conformations from uniformly distributed points on multidimensional normal mode hyperspheres"
<p>This repository contains protein structures generated by the approach "distributed points Molecular Dynamics using Normal Modes" (dpMDNM). dpMDNM is an enhanced-sampling approach that allows large protein conformational sampling based on normal mode (NM) vector combinations.</p> <p>Input parameter and equilibrated files for Lysozyme and CYP3A4 are provided, including their respective ensemble of structures after conformational exploration combining from 2 to 8 NMs.</p> <p>For more information, please visit the <a href="https://github.com/antonielgomes/dpMDNM">dpMDNM GitHub repository</a>.</p>
Sample videos of AFV from uniform initial states
<p>Sample videos of AFV from uniform initial states with constant v0=0.4 and different P0.</p>
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Allen Brain Atlas
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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.