Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “linear programming”
Cluster randomized controlled trial evaluating the impact on children's linear growth of an unconditional cash transfer program implemented in rural areas of North Togo
<p>A parallel cluster randomized controlled trial was implemented in North Togo. 162 rural landlocked villages were randomized into either an intervention arm (cash transfers + package of community activities, <em>n</em>=82) or a control arm (package of community activities only, <em>n</em>=80). </p> <p>Two different representative samples of children aged 6-29 months and their mothers were surveyed, one before the intervention (2014, <em>n</em>=2,658), the other two years afterwards (2016, <em>n</em>=2,031).</p> <p>You will found here:</p> <ul> <li>Two datasets, fully anonymized (French, CSV files): one for observations on households and the other for observations on mother-child pairs</li> <li>Two dictionaries of variables (French, Excel files): one for the household database and the other for the mother-child pairs database</li> <li>The study protocol as submitted to the Ministry of Health of Togo (French, PDF)</li> <li>The technical and financial proposal (to evaluate the CT program) as submitted to funders (English, PDF)</li> </ul> <p> </p>
Accurate Flow Decomposition via Robust Integer Linear Programming
<p>Dataset created using Poisson distribution to generate imperfect flow .</p> <p>March 2024 - Update: It contains the original graph, the ground truth and the imperfect flow used for inexact and robust flow decompositions.</p>
Paper: "Sensitivity analysis for linear changes of the constraint matrix of a linear program" output
<p>Output generated from the experiments in the paper "Sensitivity analysis for linear changes of the constraint matrix of a linear program"</p>
Attack time analysis in dynamic attack trees via integer linear programming
<p>Matlab code for the experiments of the paper "Attack time analysis in dynamic attack trees via integer linear programming" by Milan Lopuhaä-Zwakenberg & Mariëlle Stoelinga.</p> <p>The code can be accessed either via the virtual machine in Artifact_MILPforDATs_revised.zip, or through the code directly in Matlab_code.zip. The results are in Paper_results.zip.</p> <p>To run the code, installations of Matlab and Gurobi are required.</p>
Linear programs used for testing
<p>Linear programs used for benchmarking results presented in section 4</p> <p>Hardware/Software used: Text editor/spreadsheet</p> <p>Data format: Tab-separated values (*.teau files); text files (eq-*)</p> <p>Source: Randomly generated</p> <p>Number of samples: 6</p> <p>Size per sample: 5x5 to 288x202</p>
Lpnet: Reconstructing phylogenetic networks from distances using integer linear programming
<p>We present Lpnet, a variant of the widely used Neighbor-net method that approximates pairwise distances between taxa by a circular phylogenetic network. We first apply standard methods to construct a binary phylogenetic tree and then use integer linear programming to compute optimal circular orderings that agree with all tree splits. This approach achieves an improved approximation of the input distance for the clear majority of experiments that we have run for simulated and real data. We release an implementation in R that can handle up to 94 taxa and usually needs about one minute on a standard computer for 80 taxa. For larger taxa sets, we include a top-down heuristic which also tends to perform better than Neighbor-net.</p>
Attack time analysis in dynamic attack trees via integer linear programming
<p>Code and data corresponding to the paper "Attack time analysis in dynamic attack trees via integer linear programming"</p>
Lpnet: Reconstructing phylogenetic networks from distances using integer linear programming
Open the record for dataset details and reuse information.
Experimental Repository for "Learn to Relax: Integrating 0-1 Integer Linear Programming with Pseudo-Boolean Conflict-Driven Search"
<p># Learn to Relax: Integrating 0-1 Integer Linear Programming with Pseudo-Boolean Conflict-Driven Search</p> <p>Experimental repository.</p> <p>Directory structure:</p> <p>- binary: contains the statically compiled RoundingSat binary used for the experiments.<br> - data: contains raw .csv data files of the experiments.<br> - plots: contains the plots in the paper, as well as additional ones.</p>
Linear Programming Approach to Develop Local Specific Food-based Complementary Feeding Recommendation
ClinicalTrials.gov study NCT03895164. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Enhanced Counseling Using Complementary Feeding Recommendation Based on Linear Programming on Nutritional Status,Omega-3 Fatty Acids, Malondialdehyde, and Alpha-Tocopherol in Overweight Chil
ClinicalTrials.gov study NCT02592109. IPD Sharing: Not stated. Countries: 1. Publications: 0.
STATE-OF-THE-ART SOLUTIONS TO THE FUZZY LINEAR PROGRAMMING PROBLEM.
Open the record for dataset details and reuse information.
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.