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677 results for “Replication package”
Contributors Classification - Replication Package
<p><strong>Contributors Classification - Replication Package:</strong> Contains three .py files to for the classification of contributors, and the resulting data in .csv files. ElbowMethod.py is used to identify the optimal number of clusters for the studied data. BradfordsClassification.py is used to collect the data necessary to classify reactors based on their number of commits as described in our paper. TruckFactor.py is the implementation of the algorithm of Avelino et al. on each month and each project to estimate the truck factor of a project.</p>
10k Repos - Replication Package
<p><strong>10k Repos - Replication Package:</strong> Contains two .py files to collect the top 10,000 most starred repos, and for each repo collect the number of reactions from the latest 1,000 pull requests. The results are represented in two .csv files.</p>
Verification of Multi-Objective Markov Models: Replication Package
<p>Contains benchmarks, execution scripts, log files, and the Storm version exercised for the experiments given in Chapter 9 of the work <strong>Verification of Multi-Objective Markov Models</strong>.</p> <p>List of contents:</p> <ul> <li>storm-package.zip: contains the Storm version considered in the experiments including installation instructions and scripts. Tested on the <a href="https://doi.org/10.5281/zenodo.7113222">TACAS'23 artefact evaluation VM</a></li> <li>totalrew.zip: contains the benchmarks and experimental data for the evaluation of expected total reward computations (Sections 9.2)</li> <li>multi.zip: contains the benchmarks and experimental data for the evaluation of multi-objective verification (Sections 9.3 to 9.6)</li> </ul> <p> </p>
Replication Package for "A Characterization of Datasets for Vulnerability Prediction Studies"
<p>The present upload constitute the Replicability Package for the "A Characterization of Datasets for Vulnerability Prediction Studies" paper.</p>
Replication Package for 'Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study'
<p>Replication Package attached to the 'Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study' article. Within the README and accompanying scripts, you will find detailed instructions to guide you through the analysis conducted in the article.</p>
Replication package for: The Null Result Penalty
<p>This replication package produces the exhibits for the paper 'The Null Result Penalty'.</p>
Replication package for: Informality, Consumption Taxes and Redistribution
<p>Replication package for: Informality, Consumption Taxes and Redistribution</p> <p>This permits the replication of the paper based on metadata from 32 micro household expenditure surveys. </p> <p> </p> <p> </p>
Replication Package for the paper titled "On Using Explainable AI to Improve Deep Learning Models with Emerging Results in Vulnerability Prediction"
<p>This is a replication Package for the paper titled "On Using Explainable AI to Improve Deep Learning Models with Emerging Results in Vulnerability Prediction".</p> <p>The directory contains Python scripts to run the vulnerability prediction models as well as the scripts to run the explainability tool.</p> <p>The directory also contains the datasets used in the paper.</p>
Replication package for: "On the complexity of forming mental models"
<p>Replication package for 'On the complexity of inferring mental models', Quantitative Economics.</p>
Replication Package for: Private Sector Provision as an Escape Valve: The Mexico Diabetes Experiment
<p>Bronsoler, A., Gruber, J., & Seira, E. (2023). <em>Private Sector Provision as an “Escape Valve”: The Mexico Diabetes Experiment .</em></p> <p><em>Replication package for tables and figures. Includes publically available data and de-identified experimental data.</em></p>
Does Location Influence Coding Practices? A Cross-Regional Study on Stack Overflow Code Quality – Replication Package
<p>Developers routinely integrate Stack Overflow code snippets into their codebases. However, the quality of snippets embedded in users’ answers remain elusive, and existing evaluations of code quality tend to be language or context-specific. Moreover, literature have found that contribution patterns vary depending on geographical locales, creating an unexplained rift between code quality, user location, and latent contextual regional factors. </p> <p>The proposed study evaluates the quality of SQL, JavaScript, Python, Ruby, and Java snippets across reliability, readability, performance, and security dimensions, benchmarking findings across states in the USA and investigating how different diversity indicators correlate against code quality violations. The study culminates in a series of inductive content analyses that qualitatively supplement prior quality dimensions.</p> <p>This replication package is provided for those interested in further examining our research methodology.</p>
Fast, Favorable, and Fair Blockchain-based Exchange of Digital Goods using State Channels - Replication Package
Open the record for dataset details and reuse information.
Replication Package for "Issue-Based Programming Language Evolution"
Open the record for dataset details and reuse information.
TestCandidateRecommender replication package
<p>Replication package for TestCandidateRecommender</p>
Replication package of paper 'Study of IoT System Architectural Styles and their Quality Requirements'
<p>Dataset of studied papers.</p> <p>It contains an Excel sheet that includes papers selected in each step of our selection process, along with the extracted data in each tab.</p>
Replication Package for "Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda"
<p>These files contain survey instruments and complete replication materials for the paper "Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda". <strong>This record has been restricted given concerns over personally identifying information in some files, and the updated replication materials have been moved to a new location within the EJ's Zenodo Community</strong>: <a href="https://doi.org/10.5281/zenodo.15881328" target="_blank" rel="noopener">10.5281/zenodo.15881328</a></p>
Replication package for the paper on contract generation for workflows
<p>The replication package for the paper on contract generation for workflows.</p> <p>Contains the prototype and the experimental results from the paper.</p>
Replication Package for "On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?"
<h1>Replication Package for "On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?"</h1> <h2>Authors</h2> <p>Matteo Esposito, University of Oulu, Finland Francesco Palagiano, Multitel di Lerede Alessandro & C. s.a.s. Valentina Lenarduzzi, University of Oulu, Finland Davide Taibi, University of Oulu, Finland</p> <h2>Content Overview</h2> <p>This replication package contains the following materials:</p> <ul> <li>Data: RAW Questionnaire dataset.</li> <li>Contact Information</li> </ul> <p>For any issues, questions, or further assistance, please do not hesitate to contact the paper's authors. We are here to help!</p>
Replication Package - Illicit Content Recognition with Few-shot Learning
<p>Replication package and dataset for the paper: When the Few Outweigh the Many: Illicit Content Recognition with Few-shot Learning</p>
Replication Package for "A Characterization of Datasets for Vulnerability Prediction Studies"
<p>The present upload constitute the Replicability Package for the "A Characterization of Datasets for Vulnerability Prediction Studies" paper.</p>
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.