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.
100
datasets available to search
ShareScore release 0.9.0
Dataset results
100 results for “request”
Khaleesi: Breaker of Advertising and Tracking Request Chains
<p>Dataset release for USENIX Security Symposium (USENIX) 2022 paper entitled Khaleesi: Breaker of Advertising and Tracking Request Chains</p>
Understanding the Role of External Pull Requests in the NPM Ecosystem
<p>The risk to using third-party libraries in a software application is that much needed maintenance is solely carried out by library maintainers. These libraries may rely on a core team of maintainers (who might be a single maintainer that is unpaid and overworked) to serve a massive client user-base. On the other hand, being open source has the benefit of receiving contributions (in the form of External PRs) to help fix bugs and add new features. In this paper, we investigate the role by which External PRs (contributions from<br> outside the core team of maintainers) contribute to a library. Through a preliminary analysis, we find that External PRs are prevalent, and just as likely to be accepted as maintainer PRs. We find that 26.75% of External PRs submitted fix existing issues. Moreover, fixes also belong to labels such as breaking changes, urgent, and on-hold. Differently from Internal PRs, External PRs cover documentation changes (44 out of 384 PRs), while not having as much refactoring (34 out of 384 PRs). On the other hand, External PRs also cover<br> new features (380 out of 384 PRs) and bugs (120 out of 384). Our results lay the groundwork for understanding how maintainers decide which external contributions they select to evolve their libraries and what role they play in reducing the workload.</p>
The commit history of the dependent libraries and the associated pull requests related to dependency removal.
<p>The dataset is the commit history within a specific period and the matched pull requests corresponding to the commits.</p>
Body length trait values from the BETSI database, on all Collembola species, all literature sources, requested on 01-06-2017
<p><strong>This table gathers 'Body length' trait values extracted from the BETSI database, on all Collembola species, all literature sources, on 01/06/2017 (DD/MM/YYYY).</strong><br> <br> The BETSI database hosts soil invertebrates trait data.<br> The BETSI database is available here: <a href="http://betsi.cesab.org">http://betsi.cesab.org</a><br> The BETSI database is regularly updated. Please follow the link and contact its administrators if you want to obtain the most up-to-date data ; or contact the dataset's author if you need information on how to use the present dataset.</p> <p><br> <strong>Information in this table</strong><br> <em>BETSI coder</em>: First name and family name of the person that provided the trait value and uploaded it into the BETSI database<br> <em>Collembola species</em>: Collembola species name, taxonomy according to Fauna Europaea<br> <em>Body length value</em>: Trait value, in mm<br> <em>Literature source</em>: Literature source in which the trait value was collected by the BETSI coder<br> <br> This dataset was created, used, and shared with the approval of all concerned BETSI coders (data collectors) and administrators (data managers).</p> <p> </p> <p><strong>If you aim to re-use this dataset:</strong><br> <br> - please cite <strong>Bonfanti et al. (2018) <em>Functional ecology </em></strong><a href="https://doi.org/10.1111/1365-2435.13194">https://doi.org/10.1111/1365-2435.13194</a>, study for which this dataset was originally requested and compiled ;<br> - please give appropriate credit to the concerned BETSI coders and administrators, BETSI database project, and to the authors of the literature sources mentioned in the dataset.</p>
Avaliando as Interações entre Desenvolvedores e ChatGPT no GitHub: Uma análise de dados de Pull Requests
<p>Com o surgimento dos modelos de Linguagem de Grande Escala (LLMs) como o ChatGPT, introduziu um novo conjunto de ferramentas para apoiar desenvolvedores de software na resolução de tarefas de programação. No entanto, a compreensão das interações (ou seja, prompts) entre desenvolvedores e o ChatGPT que resultam em contribuições para o código permanece limitada. Para explorar essa limitação, foi realizada uma avaliação manual de 155 links válidos do ChatGPT, extraídos de 139 Pull Requests (PRs) mesclados à branch principal, revelando as interações entre desenvolvedores e revisores com o ChatGPT que levaram às integrações na branch principal. Os resultados produziram um catálogo de 14 tipos de solicitações feitas ao ChatGPT, categorizadas em quatro grupos principais. Foi identificado um número significativo de solicitações envolvendo revisão de código e a implementação de trechos de código com base em tarefas específicas. Os desenvolvedores também buscaram esclarecer dúvidas solicitando explicações técnicas ou refinamentos de texto para suas páginas web. Além disso, foi verificado que prompts envolvendo a geração de código geralmente exigiram mais interações para produzir a resposta desejada, em comparação com prompts solicitando revisão de código ou informações técnicas.</p>
Towards Filtering Out Deficient Pull Requests Collected through the GitHub API
<p>This is a replication package for an APSEC 2024 ERA paper.</p>
GitHub Pull Request Demonstration by Dhruvil Prajapati
<div> <p>In this demonstration, NLU student Dhruvil Prajapati walks us through pull requests for the TOPS SCHOOL GitHub repository. You can watch the video below or find a link in the 'Additional details' section.</p> </div>
Replication package for our TOSEM paper entitled "An Empirical Study on GitHub Pull Requests' Reactions"
<p>This package contains our dataset and the source code used to collect data from the the top 10,000 most starred GitHub repositories, and the selected six repositories (i.e., Cataclysm-DDA, Julia, Laravel, Node, RPCS3 and Rust), as well as the source code to analyze the data and generate all the figures in the paper. </p> <p>Please carefully read the README.md file for more details.</p>
Chinese request sentences in ten novels
<p><strong>The data contains request sentences extracted from 10 novels. </strong></p>
Adequacy of Prostate-Specific Antigen (PSA) Requests
ClinicalTrials.gov study NCT03968692. IPD Sharing: NO. Countries: 1. Publications: 1.
Psychological Impact in a Relative, Following the Announcement of the Death of a Loved One After Cardiac Arrest and the Early Request for Organ Donation
ClinicalTrials.gov study NCT03721770. IPD Sharing: NO. Countries: 1. Publications: 4.
Rheumatologists and the Requesting of Antinuclear Antibodies (ANA) Tests in Patients With Rheumatologic Complaints
ClinicalTrials.gov study NCT02409251. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pharmacist Management of Attention Deficit Hyperactivity Disorder Medication Refill Requests
ClinicalTrials.gov study NCT06388694. IPD Sharing: NO. Countries: 1. Publications: 1.
Bernese Next of Kin Survey Following Organ Donation Request
ClinicalTrials.gov study NCT03612024. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Impact of Preoperative Aromatherapy Upon Time to First Analgesia Request After Cesarean Section
ClinicalTrials.gov study NCT06114472. IPD Sharing: NO. Countries: 1. Publications: 3.
X-rays Trauma Request's by the Triage And Intake Nurse Intake and Referral Nurse:
ClinicalTrials.gov study NCT05669157. IPD Sharing: NO. Countries: 1. Publications: 1.
Medical Assistance in Dying Requests in Pain Clinic
ClinicalTrials.gov study NCT06802562. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Role of Early Systematic Best Palliative Care Versus on Request Palliative Care Consultation During Standard Oncologic Treatment for Patients With Advanced Gastric or Pancreatic Cancers: a Randomi
ClinicalTrials.gov study NCT01996540. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Analysis of the Pharmaceutical Validation of Picc Line Installation Requests at the Nîmes University Hospital
ClinicalTrials.gov study NCT04006730. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Assessment the sExual Quality of Life in Breast Cancer Patients Receiving oncoSexology Supportive Care on Proactive Versus On-request
ClinicalTrials.gov study NCT06415266. IPD Sharing: NO. Countries: 1. Publications: 5.
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.